阅读说明：本技术 一种用于雷达二次变频收发系统的杂散性能分析方法及装置 (Stray performance analysis method and device for radar secondary frequency conversion receiving and transmitting system ) 是由 江河 于 2020-12-17 设计创作，主要内容包括：本发明提供一种用于雷达二次变频收发系统的杂散性能分析方法及装置,通过获取频率信号数据以及用户选取的处理模式信息；然后根据用户选取的处理模式信息得到交调处理参数；之后根据一输出频率模型以及所述交调处理参数,对所述频率信号数据进行循环计算,得到对应的输出频率数据；最后根据输出频率数据得到系统的杂散性能分析结果。本发明能够自动选取最优化的处理方式,选取出杂散最小的交调分析模式,能够实现雷达二次变频收发系统的带内杂散计算,可应用于系统的方案阶段、设计阶段及调试阶段。在方案阶段指导频率的选择；在电路实现阶段,为电路参数的选取提供参考；调试中对已有系统存在的杂散提供改进解决方案,能够将杂散可视化。(The invention provides a stray performance analysis method and a device for a radar secondary frequency conversion transceiving system, which are characterized in that frequency signal data and processing mode information selected by a user are obtained; then obtaining an intermodulation processing parameter according to the processing mode information selected by the user; then according to an output frequency model and the intermodulation processing parameters, carrying out cyclic calculation on the frequency signal data to obtain corresponding output frequency data; and finally, obtaining a stray performance analysis result of the system according to the output frequency data. The invention can automatically select an optimized processing mode, select the intermodulation analysis mode with the minimum stray, realize the in-band stray calculation of the radar secondary frequency conversion receiving and transmitting system, and can be applied to the scheme stage, the design stage and the debugging stage of the system. Directing the selection of frequencies at the protocol stage; in the circuit implementation stage, a reference is provided for the selection of circuit parameters; the method provides an improved solution for the stray existing in the existing system in debugging, and can visualize the stray.)

1. A stray performance analysis method for a radar double-conversion transceiving system is characterized by comprising the following steps:

acquiring frequency signal data and processing mode information selected by a user;

obtaining an intermodulation processing parameter according to the processing mode information selected by the user;

according to an output frequency model and the intermodulation processing parameters, carrying out cyclic calculation on the frequency signal data to obtain corresponding output frequency data;

and obtaining a stray performance analysis result of the system according to the output frequency data.

2. The spurious performance analysis method of claim 1, wherein obtaining a corresponding output frequency model based on user-selected processing mode information comprises:

and searching the output frequency model corresponding to the processing mode information selected by the user from the mapping relation between the processing mode information and the output frequency model.

3. The spurious performance analysis method of claim 2, wherein the predetermined intermodulation processing parameters comprise: a radio frequency start frequency, a radio frequency end frequency, a radio frequency step, a first intermediate frequency center frequency, a second intermediate frequency bandwidth, a highest simulation order.

4. The spurious performance analysis method of claim 1, wherein the output frequency model is:

f_o＝|±m×f_i±n×f_LO1±k×f_LO2|

where m, n, and k are the order of each frequency of the mixing, m + n + k is the total order of the mixing, fi is the radio frequency or the second intermediate frequency, fLO1 is the first local oscillator frequency, and fLO2 is the second local oscillator frequency.

5. The spurious performance analysis method of claim 4, wherein the output frequency data comprises mixing output data and spurious output data, and the performing a cyclic calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameters to obtain corresponding output frequency data comprises:

determining a preset mixing processing model and a preset spurious processing model according to the intermodulation processing parameters;

and generating the mixing output data and the spurious output data of each order corresponding to the frequency signal data according to the mixing model, the spurious processing model and the output frequency model.

6. The stray performance analyzing method according to claim 4,

when fi is the radio frequency, the frequency mixing processing model and the spurious processing model corresponding to the frequency mixing processing model are as follows:

mix_a＝|rf(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|rf(f_point)*ii+lo1(f_point)*jj|；

mix_b＝|rf(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|rf(f_point)*ii+lo1(f_point)*jj|；

mix_c＝|rf(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|rf(f_point)*ii-lo1(f_point)*jj|；

mix_d＝|rf(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|rf(f_point)*ii-lo1(f_point)*jj|。

fi is the second intermediate frequency, and the mixing processing model and the spurious processing model corresponding to the mixing processing model are as follows:

mix_a＝|if2(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|if2(f_point)*ii+lo2*kk|；

mix_b＝|if2(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|if2(f_point)*ii+lo2*kk|；

mix_c＝|if2(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|if2(f_point)*ii+lo2*kk|；

mix_d＝|if2(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|if2(f_point)*ii+lo2*kk|；

where rf denotes an array generated by a radio frequency start frequency, a radio frequency end frequency, and a radio frequency step, if1 denotes a first intermediate frequency center frequency, if2 denotes a second intermediate frequency center frequency, f _ point denotes a frequency point, a variable ii denotes each order of the radio frequency, a variable jj denotes each order of the first local oscillation frequency lo1, and a variable kk denotes each order of the second local oscillation frequency lo 2.

7. The spur performance analysis method of claim 5, wherein obtaining the spur performance analysis result of the system from the output frequency data comprises:

calculating the mixing output data, and judging whether the stray of the mixing output is in a frequency band;

saving the calculated data and the spurious data as a pattern;

and analyzing the stray performance of the system through the pattern to obtain a stray performance analysis result of the system.

8. A stray performance analysis device for a radar double-conversion transceiving system is characterized by comprising:

the acquisition module acquires frequency signal data and processing mode information selected by a user;

the intermodulation processing parameter determining module is used for obtaining an intermodulation processing parameter according to the processing mode information selected by the user;

the cyclic calculation module is used for performing cyclic calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameters to obtain corresponding output frequency data;

and the analysis module is used for obtaining a stray performance analysis result of the system according to the output frequency data.

9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 7 are implemented when the program is executed by the processor.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.

Technical Field

The invention relates to the field of frequency signal analysis, in particular to a stray performance analysis method and device for a radar secondary frequency conversion receiving and transmitting system.

Background

Modern radars generally adopt an ultra-external receiver, so that a receiver system has the advantages of high sensitivity, large dynamic range and the like, but one of the defects is that in the process of mixing frequency of signals and local oscillators, besides fundamental wave mixing, other orders of combined frequency output (stray) can be generated; at present, in the local oscillator frequency selection and stray index prediction of a receiving and transmitting system with secondary frequency conversion, a flexible and easy-to-use design analysis means is lacked, so that a system scheme and a circuit design are difficult to meet the application requirement at one time.

Disclosure of Invention

In order to solve at least one of the above problems, an embodiment of an aspect of the present invention provides a spurious performance analysis method for a radar double-conversion transceiving system, including:

s1: acquiring frequency signal data and processing mode information selected by a user;

s2: obtaining an intermodulation processing parameter according to the processing mode information selected by the user;

s3: according to an output frequency model and the intermodulation processing parameters, carrying out cyclic calculation on the frequency signal data to obtain corresponding output frequency data;

s4: and obtaining a stray performance analysis result of the system according to the output frequency data.

In a preferred embodiment, obtaining a corresponding output frequency model according to the processing mode information selected by the user includes:

and searching the output frequency model corresponding to the processing mode information selected by the user from the mapping relation between the processing mode information and the output frequency model.

In a preferred embodiment, the preset intermodulation processing parameters include: a radio frequency start frequency, a radio frequency end frequency, a radio frequency step, a first intermediate frequency center frequency, a second intermediate frequency bandwidth, a highest simulation order.

In a preferred embodiment, the output frequency model is:

f_o＝|±m×f_i±n×f_LO1±k×f_LO2|

where m, n, and k are the order of each frequency of the mixing, m + n + k is the total order of the mixing, fi is the radio frequency or the second intermediate frequency, fLO1 is the first local oscillator frequency, and fLO2 is the second local oscillator frequency.

In a preferred embodiment, the outputting frequency data includes mixing output data and spurious output data, and the performing a cyclic calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameter to obtain corresponding output frequency data includes:

determining a preset mixing processing model and a preset spurious processing model according to the intermodulation processing parameters;

and generating the mixing output data and the spurious output data of each order corresponding to the frequency signal data according to the mixing model, the spurious processing model and the output frequency model.

In a preferred embodiment, when fi is a radio frequency, the mixing processing model and the spurious processing model corresponding to the mixing processing model are as follows:

mix_a＝|rf(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|rf(f_point)*ii+lo1(f_point)*jj |；

mix_b＝|rf(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|rf(f_point)*ii+lo1(f_point)*jj |；

mix_c＝|rf(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|rf(f_point)*ii-lo1(f_point)*jj|；

mix_d＝|rf(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|rf(f_point)*ii-lo1(f_point)*jj|。

fi is the second intermediate frequency, and the mixing processing model and the spurious processing model corresponding to the mixing processing model are as follows:

mix_a＝|if2(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|if2(f_point)*ii+lo2*kk|；

mix_b＝|if2(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|if2(f_point)*ii+lo2*kk|；

mix_c＝|if2(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|if2(f_point)*ii+lo2*kk|；

mix_d＝|if2(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|if2(f_point)*ii+lo2*kk|；

where rf denotes an array generated by a radio frequency start frequency, a radio frequency end frequency, and a radio frequency step, if1 denotes a first intermediate frequency center frequency, if2 denotes a second intermediate frequency center frequency, f _ point denotes a frequency point, a variable ii denotes each order of the radio frequency, a variable jj denotes each order of the first local oscillation frequency lo1, and a variable kk denotes each order of the second local oscillation frequency lo 2.

In a preferred embodiment, obtaining a spurious performance analysis result of the system according to the output frequency data comprises:

calculating the mixing output data, and judging whether the stray of the mixing output is in a frequency band;

saving the calculated data and the spurious data as a pattern;

and analyzing the stray performance of the system through the pattern to obtain a stray performance analysis result of the system.

The invention also provides a stray performance analysis device for the radar secondary frequency conversion transceiving system, which comprises:

the acquisition module acquires frequency signal data and processing mode information selected by a user;

the intermodulation processing parameter determining module is used for obtaining an intermodulation processing parameter according to the processing mode information selected by the user;

the cyclic calculation module is used for performing cyclic calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameters to obtain corresponding output frequency data;

and the analysis module is used for obtaining a stray performance analysis result of the system according to the output frequency data.

A further embodiment of the present invention provides a computer device, which includes a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method described above.

A further embodiment of the invention provides a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method described above.

The invention has the following beneficial effects:

the invention provides a stray performance analysis method and a device for a radar secondary frequency conversion transceiving system, which are characterized in that frequency signal data and processing mode information selected by a user are obtained; then obtaining an intermodulation processing parameter according to the processing mode information selected by the user; then according to an output frequency model and the intermodulation processing parameters, carrying out cyclic calculation on the frequency signal data to obtain corresponding output frequency data; and finally, obtaining a stray performance analysis result of the system according to the output frequency data. The invention can automatically select an optimized processing mode, select the intermodulation analysis mode with the minimum stray, realize the in-band stray calculation of the radar secondary frequency conversion receiving and transmitting system, and can be applied to the scheme stage, the design stage and the debugging stage of the system. Directing the selection of frequencies at the protocol stage; in the circuit implementation stage, a reference is provided for the selection of circuit parameters; the method provides an improved solution for the stray existing in the existing system in debugging, and can visualize the stray.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 shows a schematic flow chart of a method for analyzing spurious performance of a radar double-conversion transceiving system according to an embodiment of the present invention.

Fig. 2 shows a Plot of the Down conversion (RF ═ LO1+ IF1|) spur Plot in an embodiment of the invention.

Fig. 3 shows a Plot of the Down conversion (RF ═ LO1-IF1|) spur Plot in an embodiment of the invention.

Fig. 4 shows a diagram of Up conversion (RF ═ LO1+ IF1|) spur Plot in an embodiment of the present invention.

Fig. 5 shows a diagram of Up conversion (RF ═ LO1-IF1|) spur Plot in an embodiment of the present invention.

Fig. 6 is a schematic structural diagram of a spurious performance analysis apparatus for a radar double-conversion transceiving system according to an embodiment of the present invention.

Fig. 7 shows a schematic diagram of an electronic device suitable for implementing the invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

An embodiment of an aspect of the present invention provides a method for analyzing spurious performance of a radar twice-conversion transceiving system, as shown in fig. 1, including:

acquiring frequency signal data and processing mode information selected by a user;

obtaining an intermodulation processing parameter according to the processing mode information selected by the user;

according to an output frequency model and the intermodulation processing parameters, carrying out cyclic calculation on the frequency signal data to obtain corresponding output frequency data;

and obtaining a stray performance analysis result of the system according to the output frequency data.

The invention provides a stray performance analysis method for a radar secondary frequency conversion transceiving system, which comprises the steps of obtaining frequency signal data and processing mode information selected by a user; then obtaining an intermodulation processing parameter according to the processing mode information selected by the user; then according to an output frequency model and the intermodulation processing parameters, carrying out cyclic calculation on the frequency signal data to obtain corresponding output frequency data; and finally, obtaining a stray performance analysis result of the system according to the output frequency data. The invention can realize the in-band spurious calculation of the radar secondary frequency conversion receiving and transmitting system, and can be applied to the scheme stage, the design stage and the debugging stage of the system. Directing the selection of frequencies at the protocol stage; in the circuit implementation stage, a reference is provided for the selection of circuit parameters; the method provides an improved solution for the stray existing in the existing system in debugging, and can visualize the stray.

In a preferred embodiment, obtaining a corresponding output frequency model according to the processing mode information selected by the user includes:

and searching the output frequency model corresponding to the processing mode information selected by the user from the mapping relation between the processing mode information and the output frequency model.

In a preferred embodiment, the preset intermodulation processing parameters include: a radio frequency start frequency, a radio frequency end frequency, a radio frequency step, a first intermediate frequency center frequency, a second intermediate frequency bandwidth, a highest simulation order.

In a preferred embodiment, the output frequency model is:

f_o＝|±m×f_i±n×f_LO1±k×f_LO2|

where m, n, and k are the order of each frequency of the mixing, m + n + k is the total order of the mixing, fi is the radio frequency or the second intermediate frequency, fLO1 is the first local oscillator frequency, and fLO2 is the second local oscillator frequency.

In a preferred embodiment, the outputting frequency data includes mixing output data and spurious output data, and the performing a cyclic calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameter to obtain corresponding output frequency data includes:

determining a preset mixing processing model and a preset spurious processing model according to the intermodulation processing parameters;

and generating the mixing output data and the spurious output data of each order corresponding to the frequency signal data according to the mixing model, the spurious processing model and the output frequency model.

In a preferred embodiment, when fi is a radio frequency, the mixing processing model and the spurious processing model corresponding to the mixing processing model are as follows:

mix_a＝|rf(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|rf(f_point)*ii+lo1(f_point)*jj |；

mix_b＝|rf(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|rf(f_point)*ii+lo1(f_point)*jj |；

mix_c＝|rf(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|rf(f_point)*ii-lo1(f_point)*jj|；

mix_d＝|rf(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|rf(f_point)*ii-lo1(f_point)*jj|。

fi is the second intermediate frequency, and the mixing processing model and the spurious processing model corresponding to the mixing processing model are as follows:

mix_a＝|if2(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|if2(f_point)*ii+lo2*kk|；

mix_b＝|if2(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|if2(f_point)*ii+lo2*kk|；

mix_c＝|if2(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|if2(f_point)*ii+lo2*kk|；

mix_d＝|if2(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|if2(f_point)*ii+lo2*kk|；

where rf denotes an array generated by a radio frequency start frequency, a radio frequency end frequency, and a radio frequency step, if1 denotes a first intermediate frequency center frequency, if2 denotes a second intermediate frequency center frequency, f _ point denotes a frequency point, a variable ii denotes each order of the radio frequency, a variable jj denotes each order of the first local oscillation frequency lo1, and a variable kk denotes each order of the second local oscillation frequency lo 2.

In a preferred embodiment, obtaining a spurious performance analysis result of the system according to the output frequency data comprises:

calculating the mixing output data, and judging whether the stray of the mixing output is in a frequency band;

saving the calculated data and the spurious data as a pattern;

and analyzing the stray performance of the system through the pattern to obtain a stray performance analysis result of the system.

The following description is made in conjunction with practical cases.

The output signal frequency can be expressed as: f. of_o＝|±m×f_i±n×f_LO1±k×f_LO2If the system works in the up-conversion mode, fi is the second intermediate frequency fIF2, and fo is the radio frequency fRF; during the down-conversion operation, fi is the radio frequency fRF, and fo is the second intermediate frequency fIF 2.

m, n and k are the order of mixing the frequencies, and m + n + k is the total mixing order. Usually, when m, n and k take 1, the output frequency required by system frequency conversion is adopted; and when m, n or k is not 1, the frequency conversion output frequency is defined as intermodulation stray. Since m, n, and k can be any integer, the output signal will contain any combination of frequencies produced by the input signal.

The software calculates the highest order (order) according to the set frequency, and circularly calculates the output frequency fo: increasing m, n and k from 0 to order according to 1 respectively, and calculating f_o＝|±m×f_i±n×f_LO1±k×f_LO2Storing fo data which is obtained by each cycle calculation and is located in the working frequency range; the data table form is displayed in software and can be exported to an Excel format for data storage; the data can also be more visually displayed in the form of an intermodulation graph, the frequency of LO1 is used as an X axis of the intermodulation graph, the output frequency (up-conversion RF output frequency and down-conversion IF2 output frequency) is used as a Y axis of the intermodulation graph, the order (m, n and k) corresponding to each intermodulation curve is identified in the graph, the quantity of the intermodulation output can be more clearly and visually seen in the graph display, and the scheme selection and the analysis of the stray performance are facilitated.

The software implementation is performed as follows.

The read radio frequency start frequency (11) is defined as rf _ start, the radio frequency end frequency (12) is defined as rf _ stop, the radio frequency step (13) is defined as rf _ step, the first intermediate frequency center frequency (14) is defined as if1, the second intermediate frequency center frequency (15) is defined as if2, the second intermediate frequency bandwidth (16) is defined as bw, and the highest simulation order (17) is defined as order.

And generating an array rf by using rf _ start, rf _ stop and rf _ step, wherein the array rf takes the rf _ start as the 1 st element, the rf _ stop as the last 1 element, and the difference value of each element is the rf _ step.

Performing stray frequency range definition from the selection of the "Convert Setup", and when the up-conversion (5) is selected, defining the lower limit variable of the stray frequency as spur _ lower ═ rf _ start, and defining the upper limit variable of the stray frequency as spur _ upper ═ rf _ stop; when the down-conversion (6) is selected, the lower limit variable of the frequency of the spur is defined as spurjlower-if 2-bw/2, and the upper limit variable of the frequency of the spur is defined as spurjupper-if 2+ bw/2.

The first local oscillator frequency calculation is performed from the selection of "RF Sideband": when "RF ═ LO1+ IF1| is selected, the first local oscillator frequency LO1 ═ RF-IF1 |; when "RF | LO1-IF1| is selected, the first local oscillation frequency LO 1| RF + IF1 |.

Performing a second local oscillator frequency calculation from the selection of "IF 1 Sideband": when "IF 1 ═ LO2+ IF2|, the second local oscillation frequency LO2 ═ IF1-IF2 |; when "IF 1 ═ LO2+ IF2|, the second local oscillation frequency LO2 ═ IF1+ IF2 |.

After the parameter setting is completed, the calculation of the spurious frequency is started.

Since the output frequency fo is an absolute value, the signs of the orders m, n, and k have 4 combinations: + + + (same absolute value as- - -output), + - (same absolute value as- - + output), + - + (same absolute value as- + -output), and + - - (same absolute value as- + + output). The mixing outputs of the combinations are defined as mix _ a, mix _ b, mix _ c and mix _ d respectively; spurs generated by the intermediate frequency are defined as if1_ a, if1_ b, if1_ c, if1_ d.

The calculation of the spurious frequencies is achieved by a cyclic structure. A variable n is defined for storing the number of inband spurs, a variable ii represents each order of the radio frequency rf, a variable jj represents each order of the first local oscillator frequency lo1, and a variable kk represents each order of the second local oscillator frequency lo 2.

To obtain the spurs of each frequency point (all frequencies contained in the rf array), the frequency point is defined as f _ point, and the frequency number from 1 to rf is calculated in a cycle, and each frequency point (f _ point) calculation also comprises a triple cycle: the first iteration ii cycles from 0 to the highest order, the second iteration jj cycles from 0 to the highest order, and the third iteration kk cycles from 0 to the highest order.

In the innermost cycle body structure, when the selection of the "Convert Setup" is down-conversion (6):

mix_a＝|rf(f_point)*ii+lo1(f_point)*jj+lo2*kk|， if1_a＝|rf(f_point)*ii+lo1(f_point)*jj|

mix_b＝|rf(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|rf(f_point)*ii+lo1(f_point)*jj|

mix_c＝|rf(f_point)*ii-lo1(f_point)*jj+lo2*kk|， if1_c＝|rf(f_point)*ii-lo1(f_point)*jj|

mix_d＝|rf(f_point)*ii-lo1(f_point)*jj-lo2*kk|， if1_d＝|rf(f_point)*ii-lo1(f_point)*jj|

in the innermost cycle body structure, when the selection of the "Convert Setup" is up-conversion (5):

mix_a＝|if2(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|if2 (f_point)*ii+lo2(*kk|

mix_b＝|if2(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|if2 (f_point)*ii+lo2*kk|

mix_c＝|if2(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|if2 (f_point)*ii+lo2(*kk|

mix_d＝|if2(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|if2 (f_point)*ii+lo2*kk|

after obtaining the spurious output of each frequency point, continuously judging whether the spurious is in the frequency band or not and storing corresponding data for the 4 combined frequency outputs:

freq _ out (n) mix _ a when super _ lower _ a < ═ spurt _ upper; rf _ freq (n) rf (f _ point); lo1_ freq (n) ═ lo1(f _ point); lo2_ freq (n) lo 2; if1_ freq (n) if1_ a; rf _ order (n) ii; if _ order (n) ii; lo1_ order (n) ═ jj; lo2_ order (n) kk; full _ order (n) ii + jj + kk; n is n + 1;

freq _ out (n) mix _ b when super _ lower _ b < ═ spurt _ upper; rf _ freq (n) rf (f _ point); lo1_ freq (n) ═ lo1(f _ point); lo2_ freq (n) lo 2; if1_ freq (n) if1_ b; rf _ order (n) ii; if _ order (n) ii; lo1_ order (n) ═ jj; lo2 — order (n) ═ kk; full _ order (n) ii + jj + kk; n is n + 1;

freq _ out (n) mix _ c when super _ lower _ c ═ spur _ upper; rf _ freq (n) rf (f _ point); lo1_ freq (n) ═ lo1(f _ point); lo2_ freq (n) lo 2; if1_ freq (n) if1_ c; rf _ order (n) ii; if _ order (n) ii; lo1_ order (n) ═ jj; lo2_ order (n) kk; full _ order (n) ii + jj + kk; n is n + 1;

freq _ out (n) mix _ d when super _ lower < ═ mix _ d < ═ spur _ upper; rf _ freq (n) rf (f _ point); lo1_ freq (n) ═ lo1(f _ point); lo2_ freq (n) lo 2; if1_ freq (n) if1_ d; rf _ order (n) ii; if _ order (n) ii; lo1_ order (n) ═ jj; lo2 — order (n) ═ kk; full _ order (n) ii + jj + kk; n is n + 1;

and at this point, the data calculation is completed, and the loop exits step by step.

And finally, uniformly storing the calculated data in a multidimensional array, wherein when the selection of the "Convert Setup" is down-conversion (6): spurt _ table [ freq _ out, rf _ freq, rf _ order, lo1_ freq, lo1_ order, if1_ freq, lo2_ freq, lo2_ order, full _ order ]; when "Convert Setup" is selected for up-conversion (5): spurt _ table [ freq _ out, if _ freq, if _ order, lo1_ freq, lo1_ order, if1_ freq, lo2_ freq, lo2_ order, full _ order ].

For the down-conversion, the radio frequency is the first local oscillator added to the first intermediate frequency, the first intermediate frequency is the second local oscillator added to the second intermediate frequency, and the spurious analysis calculation (calculation) is performed to obtain the analysis calculation result of fig. 1; the calculated data can be saved (Export …) in Excel data format, and can also be graphically output as shown in fig. 2.

For the down-conversion radio frequency, subtracting the first intermediate frequency from the first local oscillator, adding the second intermediate frequency to the first local oscillator, performing spur analysis calculation (calculation) to obtain an analysis calculation result shown in fig. 3, where the calculated data may be stored (Export …) in an Excel data format, or may be subjected to graphical output shown in fig. 4.

For the up-conversion, the radio frequency is the sum of the first local oscillator and the first intermediate frequency, the first intermediate frequency is the sum of the second local oscillator and the second intermediate frequency, and the spur analysis calculation (calculation) is performed to obtain the analysis calculation result of fig. 5. The data obtained by analysis and calculation can be saved (Export …) in an Excel data format, and can also be graphically output as shown in fig. 6.

For the up-conversion, the radio frequency is the subtraction of the first local oscillator and the first intermediate frequency, the first intermediate frequency is the addition of the second local oscillator and the second intermediate frequency, and the spurious analysis calculation (calculation) is performed. The data obtained by analysis and calculation can be stored (Export) into an Excel data format, and can be subjected to graphical output shown in FIG. 5.

Comparing fig. 2 and 4, which are calculated by the down-conversion analysis, it is better to select the radio frequency as the subtraction of the first local oscillator from the first intermediate frequency (RF ═ LO1-IF1|) than the radio frequency as the addition of the first local oscillator to the first intermediate frequency (RF ═ LO1+ IF1|) because the intermediate frequency output is less spurious.

Comparing fig. 4 and 5, which are calculated by the up-conversion analysis, it is better to select the radio frequency as the subtraction of the first local oscillator from the first intermediate frequency (RF ═ LO1-IF1|) than the radio frequency as the addition of the first local oscillator to the first intermediate frequency (RF ═ LO1+ IF1|), because the radio frequency output is less spurious.

The comprehensive analysis obtains: in the example, the radio frequency is selected as the first local oscillator to subtract the first intermediate frequency (RF ═ LO1-IF1|) and the index is better in the up-conversion and down-conversion working states.

The present invention also provides a stray performance analysis apparatus for a radar double-conversion transceiving system, as shown in fig. 6, including:

the acquisition module 1 acquires frequency signal data and processing mode information selected by a user;

the intermodulation processing parameter determining module 2 is used for obtaining an intermodulation processing parameter according to the processing mode information selected by the user;

the cyclic calculation module 3 is used for performing cyclic calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameters to obtain corresponding output frequency data;

and the analysis module 4 is used for obtaining a stray performance analysis result of the system according to the output frequency data.

An embodiment of the present invention further provides a specific implementation manner of an electronic device capable of implementing all steps in the method for analyzing spurious performance of a radar secondary frequency conversion transceiving system in the foregoing embodiment, and with reference to fig. 3, the electronic device specifically includes the following contents:

a processor (processor)601, a memory (memory)602, a communication Interface (Communications Interface) 603, and a bus 604;

the processor 601, the memory 602 and the communication interface 603 complete mutual communication through the bus 604; the communication interface 603 is used for implementing information transmission between a stray performance analysis device of a radar secondary frequency conversion transceiving system and related equipment such as a user device;

the processor 601 is configured to call a computer program in the memory 602, and when the processor executes the computer program, the processor implements all the steps in the method for analyzing the spurious performance of the radar double-conversion transceiving system in the foregoing embodiments, for example, when the processor executes the computer program, the processor implements the following steps:

s1: acquiring frequency signal data and processing mode information selected by a user;

s2: obtaining an intermodulation processing parameter according to the processing mode information selected by the user;

s3: according to an output frequency model and the intermodulation processing parameters, carrying out cyclic calculation on the frequency signal data to obtain corresponding output frequency data;

s4: and obtaining a stray performance analysis result of the system according to the output frequency data.

As can be seen from the above description, the electronic device provided in the embodiment of the present invention can automatically select an optimized processing manner, select an intermodulation analysis mode with the minimum spurious, implement in-band spurious calculation of a radar secondary frequency conversion transceiver system, and can be applied to a scheme stage, a design stage, and a debugging stage of the system. Directing the selection of frequencies at the protocol stage; in the circuit implementation stage, a reference is provided for the selection of circuit parameters; the method provides an improved solution for the stray existing in the existing system in debugging, and can visualize the stray.

An embodiment of the present invention further provides a computer-readable storage medium capable of implementing all the steps in the method for analyzing spurious performance of a radar twice-conversion transceiving system in the foregoing embodiments, where the computer-readable storage medium stores thereon a computer program, and when the computer program is executed by a processor, the computer program implements all the steps in the method for analyzing spurious performance of a radar twice-conversion transceiving system in the foregoing embodiments, for example, when the processor executes the computer program, the processor implements the following steps:

s1: acquiring frequency signal data and processing mode information selected by a user;

s2: obtaining an intermodulation processing parameter according to the processing mode information selected by the user;

s3: according to an output frequency model and the intermodulation processing parameters, carrying out cyclic calculation on the frequency signal data to obtain corresponding output frequency data;

s4: and obtaining a stray performance analysis result of the system according to the output frequency data.

As can be seen from the above description, the computer-readable storage medium provided in the embodiments of the present invention can automatically select an optimized processing manner, select an intermodulation analysis mode with the minimum spurious, implement in-band spurious calculation of a radar double-conversion transceiver system, and can be applied to a scheme stage, a design stage, and a debugging stage of the system. Directing the selection of frequencies at the protocol stage; in the circuit implementation stage, a reference is provided for the selection of circuit parameters; the method provides an improved solution for the stray existing in the existing system in debugging, and can visualize the stray.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

Although the present invention provides method steps as described in the examples or flowcharts, more or fewer steps may be included based on routine or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.

The apparatuses, modules or units illustrated in the above embodiments may be specifically implemented by a computer chip or an entity, or implemented by an article with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a vehicle-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

Although embodiments of the present description provide method steps as described in embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an apparatus or an apparatus product in practice performs, it may perform in sequence or in parallel (e.g., in a parallel processor or multithreaded processing environment, or even in a distributed data processing environment) according to the embodiments or methods shown in the drawings. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded.

For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the embodiments of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another apparatus, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, apparatus or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.

The embodiments of this specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The described embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.

The above description is only an example of the embodiments of the present disclosure, and is not intended to limit the embodiments of the present disclosure. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.