阅读说明：本技术 频域相关系数的估计方法、装置和通信设备 (Estimation method and device of frequency domain correlation coefficient and communication equipment ) 是由 李豪 于 2021-06-28 设计创作，主要内容包括：本申请实施例适用于通信技术领域,提供了一种频域相关系数的估计方法、装置和通信设备,所述方法包括：从为终端分配的子载波中获取长度最长的一段目标子载波；判断所述目标子载波的个数是否小于设定的子载波阈值；若所述目标子载波的个数小于所述子载波阈值,则通过信道估计得到信道估计值；采用所述信道估计值计算频域相关值；基于所述频域相关值和预设的多个信道模型,估计频域相关系数。采用上述方法,可以灵活地以最优方式获取信道的频域相关系数,保证信道估计的正常进行。(The embodiment of the application is applicable to the technical field of communication, and provides a method and a device for estimating a frequency domain correlation coefficient and communication equipment, wherein the method comprises the following steps: acquiring a section of target subcarrier with the longest length from subcarriers allocated to a terminal; judging whether the number of the target subcarriers is smaller than a set subcarrier threshold value or not; if the number of the target subcarriers is smaller than the subcarrier threshold, obtaining a channel estimation value through channel estimation; calculating a frequency domain correlation value by using the channel estimation value; and estimating a frequency domain correlation coefficient based on the frequency domain correlation value and a plurality of preset channel models. By adopting the method, the frequency domain correlation coefficient of the channel can be flexibly obtained in an optimal mode, and the normal operation of channel estimation is ensured.)

1. A method for estimating frequency-domain correlation coefficients, comprising:

acquiring a section of target subcarrier with the longest length from subcarriers allocated to a terminal;

judging whether the number of the target subcarriers is smaller than a set subcarrier threshold value or not;

if the number of the target subcarriers is smaller than the subcarrier threshold, obtaining a channel estimation value through channel estimation;

calculating a frequency domain correlation value by using the channel estimation value;

and estimating a frequency domain correlation coefficient based on the frequency domain correlation value and a plurality of preset channel models.

2. The method of claim 1, wherein estimating the frequency-domain correlation coefficients based on the frequency-domain correlation values and a predetermined plurality of channel models comprises:

respectively determining the similarity between the frequency domain correlation value and the frequency domain correlation functions of a plurality of preset channel models;

determining a channel model corresponding to the maximum similarity as a target channel model;

and estimating the frequency domain correlation coefficient according to the target channel model.

3. The method of claim 2, wherein obtaining the channel estimation value by channel estimation comprises:

and calculating the channel estimation value by adopting a least square criterion channel estimation algorithm.

4. The method of claim 2, wherein the frequency domain correlation function is:

wherein, tau_maxFor maximum multipath delay, Δ f is the system subcarrier spacing.

5. The method of claim 1, wherein the determining whether the number of the target subcarriers is smaller than a set subcarrier threshold further comprises:

if the number of the target subcarriers is larger than or equal to the subcarrier threshold, calculating the power delay distribution of the channel according to the target subcarriers;

and estimating the frequency domain correlation coefficient according to the power time delay distribution.

6. The method of claim 5, wherein estimating the frequency-domain correlation coefficients according to the power delay profile comprises:

and according to the power time delay distribution, performing fast Fourier transform after noise suppression processing to obtain the frequency domain correlation coefficient.

7. The method according to any of claims 1-6, wherein the obtaining a segment of target subcarriers with the longest length from the subcarriers allocated to the terminal is based on the following formula:

S(k+1)-S(k)＝1，k＝0,1,2,…,K-1；

wherein S is the absolute index set of the subcarriers, and K is the number of the subcarriers.

8. An apparatus for estimating frequency-domain correlation information, comprising:

the target subcarrier acquiring module is used for acquiring a section of target subcarrier with the longest length from subcarriers allocated to the terminal;

the subcarrier number judging module is used for judging whether the number of the target subcarriers is smaller than a set subcarrier threshold value or not;

the channel estimation module is used for obtaining a channel estimation value through channel estimation if the number of the target subcarriers is smaller than the subcarrier threshold;

a frequency domain correlation value calculating module for calculating a frequency domain correlation value by using the channel estimation value;

and the frequency domain correlation coefficient estimation module is used for estimating the frequency domain correlation coefficient based on the frequency domain correlation value and a plurality of preset channel models.

9. A communication device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the method of estimating frequency-domain correlation coefficients according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out a method of estimating frequency-domain correlation coefficients according to any one of claims 1 to 7.

Technical Field

The embodiment of the application belongs to the technical field of communication, and particularly relates to a method and a device for estimating a frequency domain correlation coefficient and communication equipment.

Background

In a wireless communication system, the performance of the system is mainly limited by the wireless channel. In a wireless transmission environment, a received signal may have multipath time delay, time-selective fading, and frequency-domain offset. Wherein, the symbol crosstalk caused by multipath time delay can be reduced by inserting a guard interval; the subcarrier interference caused by time selective fading and frequency offset needs to be corrected by means of time-frequency offset compensation, and the channel needs to be estimated and further compensated, namely, frequency domain equalization and time domain equalization need to be performed. Therefore, the quality of the signal estimation performance directly affects the demodulation result of the received signal.

Generally, channel estimation is mainly classified into non-blind channel estimation and blind channel estimation. Non-blind channel estimation requires channel estimation using pilot sequences known to both the base station and the receiver, and different time-frequency domain interpolation techniques are used to estimate the channel response on the subcarriers between pilots or between symbols. Currently, the non-blind channel estimation mainly used includes Minimum Mean Square Error (MMSE) channel estimation and the like. MMSE channel estimation is mainly achieved by using the relevant information of the channel.

In general, the power-delay profile (PDP) and the frequency-domain correlation coefficient are fourier transform pairs, so the frequency-domain correlation coefficient can be obtained by calculating the PDP and then performing Fast Fourier Transform (FFT). However, when Resource Blocks (RBs) allocated to the terminal are non-continuously allocated or when the number of RBs allocated to the terminal is small, the frequency domain correlation coefficient cannot be obtained by calculating the PDP.

Disclosure of Invention

In view of this, embodiments of the present application provide a method and an apparatus for estimating a frequency domain correlation coefficient, and a communication device, so as to solve the problem that the frequency domain correlation coefficient cannot be obtained by calculating a PDP when RBs allocated by a terminal are non-contiguously allocated or RBs allocated by the terminal are fewer.

A first aspect of an embodiment of the present application provides a method for estimating a frequency domain correlation coefficient, including:

acquiring a section of target subcarrier with the longest length from subcarriers allocated to a terminal;

judging whether the number of the target subcarriers is smaller than a set subcarrier threshold value or not;

if the number of the target subcarriers is smaller than the subcarrier threshold, obtaining a channel estimation value through channel estimation;

calculating a frequency domain correlation value by using the channel estimation value;

and estimating a frequency domain correlation coefficient based on the frequency domain correlation value and a plurality of preset channel models.

A second aspect of the embodiments of the present application provides an apparatus for estimating frequency-domain correlation coefficients, including:

the target subcarrier acquiring module is used for acquiring a section of target subcarrier with the longest length from subcarriers allocated to the terminal;

the subcarrier number judging module is used for judging whether the number of the target subcarriers is smaller than a set subcarrier threshold value or not;

the channel estimation module is used for obtaining a channel estimation value through channel estimation if the number of the target subcarriers is smaller than the subcarrier threshold;

a frequency domain correlation value calculating module for calculating a frequency domain correlation value by using the channel estimation value;

and the frequency domain correlation coefficient estimation module is used for estimating the frequency domain correlation coefficient based on the frequency domain correlation value and a plurality of preset channel models.

A third aspect of embodiments of the present application provides a communication device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the method for estimating frequency domain correlation coefficients as described in the first aspect above when executing the computer program.

A fourth aspect of embodiments of the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the method for estimating frequency-domain correlation coefficients according to the first aspect.

A fifth aspect of embodiments of the present application provides a computer program product, which, when run on a communication device, causes the communication device to perform the method for estimating frequency-domain correlation coefficients of the first aspect.

Compared with the prior art, the embodiment of the application has the following advantages:

according to the embodiment of the application, different ways for acquiring the frequency domain correlation coefficient of the channel are determined according to different situations of the sub-carrier waves allocated to the terminal. In practical application, the system can flexibly acquire the frequency domain correlation coefficient in an optimal mode, and channel estimation can be carried out normally.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the embodiments or the description of the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.

Fig. 1 is a schematic flowchart illustrating steps of a method for estimating frequency-domain correlation coefficients according to an embodiment of the present application;

fig. 2 is a schematic flowchart illustrating steps of another method for estimating frequency-domain correlation coefficients according to an embodiment of the present application;

fig. 3 is a schematic flowchart illustrating steps of another method for estimating frequency-domain correlation coefficients according to an embodiment of the present application;

fig. 4 is a schematic flowchart illustrating steps of a further method for estimating frequency-domain correlation coefficients according to an embodiment of the present application;

fig. 5 is a schematic diagram of a method for estimating frequency-domain correlation coefficients according to an embodiment of the present application;

fig. 6 is a schematic diagram of an apparatus for estimating frequency-domain correlation coefficients according to an embodiment of the present application;

fig. 7 is a schematic diagram of a communication device according to an embodiment of the present application.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

The technical solution of the present application will be described below by way of specific examples.

Example one

Referring to fig. 1, a schematic flow chart illustrating steps of a method for estimating a frequency domain correlation coefficient provided in an embodiment of the present application is shown, which may specifically include the following steps:

s101, a section of target sub-carrier with the longest length is obtained from sub-carriers allocated to a terminal.

It should be noted that the method can be applied to the field of wireless communication. Specifically, the execution subject of the method may be a communication device having a calculation function such as channel estimation in the wireless communication field, and the specific type of the communication device is not limited in the embodiment of the present application.

In this embodiment of the present application, the estimation of the frequency domain correlation coefficient may be performed according to a section of target subcarriers with the longest length among the subcarriers allocated by the system to the terminal.

In the field of communications, 12 subcarriers that are contiguous in the frequency domain, or one slot in the time domain, is referred to as an RB. If the RBs allocated to the terminal are consecutive, the frequency domain correlation coefficient may be directly obtained by calculating a PDP.

Therefore, in the embodiment of the present application, before performing frequency domain correlation coefficient estimation, it may be first determined whether subcarriers allocated to the terminal are consecutive.

In a specific implementation, whether the subcarriers allocated to the terminal are consecutive may be determined by defining the following conditions:

S(k+1)-S(k)＝1，k＝0,1,2,…,K-1……(1)

wherein, S is an absolute index set of the subcarriers, and K is the number of the subcarriers.

If the sub-carriers allocated to a certain terminal meet the condition set by the formula (1), it can be determined that the sub-carriers allocated to the terminal by the system are continuous, and the sub-carriers allocated to the terminal in the number of K are target sub-carriers; otherwise, the sub-carriers allocated to the terminal are considered to be discontinuous.

If the sub-carriers allocated to the terminal are discontinuous, a segment of target sub-carriers with the longest length in the sub-carriers allocated to the terminal may be obtained first.

Since one RB includes 12 contiguous subcarriers in the frequency domain, when it is determined that the subcarriers to which the terminal is allocated are discontinuous according to equation (1), the discontinuous subcarriers must be composed of a plurality of pieces of contiguous subcarriers except that the plurality of pieces of subcarriers are discontinuous with respect to each other.

For example, if the number of subcarriers allocated to the terminal is K, the K subcarriers may include multiple segments, such as K₁、k₂、……k_nAnd (4) section. Although the K subcarriers are discontinuous as a whole, K is viewed from the perspective of each segment therein₁、k₂、……k_nMay be continuous.

In the embodiment of the present application, a segment of target subcarriers with the longest length may be obtained from multiple segments of subcarriers. For example, the target subcarrier is the kth subcarrier_mAnd a segment of subcarriers, wherein the number of the segment of subcarriers can be K'.

And S102, judging whether the number of the target subcarriers is smaller than a set subcarrier threshold value.

In general, when the terminal subcarriers are contiguous, the frequency domain related information can be estimated directly by calculating the PDP. However, it is generally considered that the frequency domain related information finally calculated is accurate only when the number of the consecutive subcarriers is sufficiently large.

Therefore, in the embodiment of the present application, for a certain continuous segment of target subcarriers in the discontinuous subcarriers, the number K' of the segment of target subcarriers and the set subcarrier threshold K may be determined first_ThrThe magnitude relationship between them.

If said K' is less than K_ThrThen S104 may be performed.

And S103, obtaining a channel estimation value through channel estimation.

In the embodiment of the present application, when the subcarriers are not consecutive and the number of the longest continuous segment of subcarriers is not enough (smaller than the set subcarrier threshold), the frequency domain related information cannot be estimated by directly calculating the PDP.

For this situation, the embodiments of the present application may first perform channel estimation on a channel.

In the embodiment of the present application, a variety of channel estimation algorithms may be used for channel estimation, such as an MMSE algorithm, a least-squares (LS) channel estimation algorithm, and the like, which is not limited in the embodiment of the present application.

As an example of the embodiment of the present application, an LS channel estimation algorithm may be adopted to calculate the channel estimation value.

And S104, calculating a frequency domain correlation value by adopting the channel estimation value.

Then, the frequency domain correlation value may be directly calculated from the channel estimation value.

For example, the frequency domain correlation value r 'can be calculated by the following formula'_f：

Where h (k) is a channel estimation value.

And S105, estimating a frequency domain correlation coefficient based on the frequency domain correlation value and a plurality of preset channel models.

After the frequency domain correlation value is calculated according to the channel estimation value, the frequency domain correlation value may be compared with the frequency domain correlation functions of a plurality of different channel models, so as to determine a final frequency domain correlation coefficient.

Typically, the frequency domain correlation function under a certain channel model is fixed. For example, in a multipath power delay channel model with exponential fading, the frequency domain correlation function is only related to the distance between subcarriers, and the expression of the frequency domain correlation function can be expressed as the following formula (3):

wherein, tau_maxFor maximum multipath delay, Δ f is the system subcarrier spacing.

In a specific implementation, the similarity between the calculated frequency domain correlation value and the preset frequency domain correlation function of multiple different channel models may be determined, the channel model corresponding to the maximum value of the similarity may be determined as a target channel model, and a final frequency domain correlation coefficient may be estimated according to the target channel model.

Example two

Referring to fig. 2, a schematic flow chart illustrating steps of another method for estimating a frequency domain correlation coefficient provided in the embodiment of the present application is shown, and specifically, the method may include the following steps:

s201, determining whether the sub-carriers allocated to the terminal are continuous.

It should be noted that, in the foregoing embodiment, how to estimate the frequency-domain correlation coefficient is described for a situation where subcarriers allocated to the terminal are not continuous and a sufficient number of continuous subcarriers cannot be obtained from discontinuous subcarriers. In the second embodiment, the subcarriers allocated to the terminal are consecutive, that is, the "one segment of target subcarriers with the longest length" in the first embodiment is the whole segment (K) of subcarriers allocated to the terminal. However, the fact that the number of consecutive subcarriers is small (smaller than the set subcarrier threshold) introduces how to estimate the frequency domain correlation coefficient.

S202, judging whether the number of the continuous subcarriers is smaller than the subcarrier threshold value.

In the embodiment of the present application, equation (1) in the foregoing embodiment may be adopted to determine whether subcarriers allocated to a terminal are consecutive. If the subcarriers are continuous, the magnitude relation between the number of continuous subcarriers and the set subcarrier threshold value can be continuously judged.

If the number of consecutive subcarriers is less than the subcarrier threshold value, S203-S205 may be performed to estimate the frequency domain correlation coefficient in the same manner as in the previous embodiment.

And S203, obtaining a channel estimation value through channel estimation.

And S204, calculating a frequency domain correlation value by adopting the channel estimation value.

And S205, estimating a frequency domain correlation coefficient based on the frequency domain correlation value and a plurality of preset channel models.

Since the steps S203 to S205 of the second embodiment are similar to the steps S103 to S105 of the first embodiment, they can refer to each other, and are not described again in this embodiment.

EXAMPLE III

Referring to fig. 3, a schematic flow chart illustrating steps of a further method for estimating a frequency domain correlation coefficient provided in the embodiment of the present application is shown, which may specifically include the following steps:

s301, whether the sub-carriers allocated to the terminal are continuous or not is determined.

S302, judging whether the number of the sub-carriers is larger than or equal to the sub-carrier threshold value.

And S303, calculating the power time delay distribution of the channel according to the subcarriers.

It should be noted that, in the third embodiment, how to estimate the frequency domain correlation coefficient is described for the case that subcarriers allocated to the terminal are consecutive, that is, the "one segment of target subcarriers with the longest length" in the first embodiment is the whole segment (K) of subcarriers allocated to the terminal, and the number of the consecutive subcarriers is sufficient.

For such cases, the estimation of the frequency domain correlation coefficients can be performed by way of calculating the PDP.

In the embodiment of the present application, the length of the PDP may be calculated first. Illustratively, the length of the PDP may be calculated using the following equation (4):

wherein N is_PDPIndicates the length of the PDP, and K is the number of consecutive subcarriers.

The channel estimate h (k) may then be zero-padded to obtain:

and performing Inverse Fast Fourier Transform (IFFT) on the above equation to obtain a Channel Impulse Response (CIR):

h(n)＝IFFT(H_N),n＝0,1,2...,N_PDP-1……(6)

by performing modulo and squaring operations on the CIR in turn, the PDP for that channel can be obtained:

pdp(n)＝|h(n)|²,n＝0,1,2...,N_PDP-1……(7)

it should be noted that after the PDP of the channel is obtained through calculation, noise suppression processing may also be performed on the PDP, which is not described in this embodiment.

S304, estimating the frequency domain correlation coefficient according to the power time delay distribution.

For the situation that the continuous number of the sub-carriers allocated to the terminal is enough, after the PDP is obtained through calculation, the PDP can be directly adopted to estimate the frequency domain correlation coefficient.

In a specific implementation, the PDP may be first padded with zeros according to Fast Fourier Transform (FFT) points when an Orthogonal Frequency Division Multiplexing (OFDM) technique is applied for modulation.

Illustratively, the PDP may be zero-padded using the following equation (8):

wherein, N is the FFT point number in OFDM modulation.

Then, through FFT processing, frequency domain correlation coefficients can be obtained, namely:

r_f(k)＝fft(pdp_N),k＝0,1,...,N-1……(9)

example four

Referring to fig. 4, a schematic flow chart illustrating steps of a further method for estimating a frequency domain correlation coefficient provided in the embodiment of the present application is shown, which may specifically include the following steps:

s401, whether the sub-carriers allocated to the terminal are continuous or not is determined.

S402, a section of target sub-carrier with the longest length is obtained from a plurality of sections of sub-carriers forming the discontinuous sub-carrier.

S403, judging whether the number of the target subcarriers is smaller than a set subcarrier threshold value.

It should be noted that, in the fourth embodiment, how to estimate the frequency domain correlation coefficient is described for the case where the subcarriers allocated to the terminal are not continuous, but a sufficient number of continuous subcarriers can be obtained from the discontinuous subcarriers.

Since steps S401 to S403 in the fourth embodiment are similar to steps S101 to S102 in the first embodiment, reference may be made to each other, and details of this embodiment are not repeated.

If the number K' of the target sub-carriers is larger than or equal to the sub-carrier threshold value K_ThrThen S404 may be performed.

S404, calculating the power time delay distribution of the channel according to the target subcarrier.

In the embodiment of the present application, for the situation that the terminal does not have continuous subcarriers, but can acquire a sufficient number (number K') of continuous subcarriers from the discontinuous subcarriers, the estimation of the frequency domain correlation coefficient may be performed by calculating a PDP.

In the embodiment of the present application, the length of the PDP may be calculated first. Illustratively, the length of the PDP may be calculated using the following equation (10):

wherein N is_PDPIndicating the length of the PDP, K' is the number of consecutive acquired subcarriers.

The channel estimate h (k) may then be zero-padded to obtain:

after the above steps are completed, a PDP of channels can be obtained by performing steps similar to the equations (5), (6), (7) in the third embodiment described above.

S405, estimating the frequency domain correlation coefficient according to the power time delay distribution.

Since the step S405 in the fourth embodiment is similar to the step S304 in the previous embodiment, reference may be made to the step S, and details of the step S and the step S are not repeated herein.

It should be noted that, the sequence numbers of the steps in the foregoing embodiments do not mean the execution sequence, and the execution sequence of each process should be determined by the function and the inherent logic of the process, and should not constitute any limitation on the implementation process of the embodiments of the present application.

For the convenience of understanding, the following describes a process for estimating the frequency domain related information in the above-mentioned various situations, with reference to specific examples.

Fig. 5 is a schematic diagram of a method for estimating frequency-domain correlation coefficients according to an embodiment of the present application. As shown in fig. 5, when starting the processing, a segment of target subcarriers with the longest length may be obtained from the subcarriers allocated to the terminal. The following description is made separately for different situations.

(1) K subcarriers are contiguous.

The whole segment (K) of subcarriers allocated to the terminal is a segment of target subcarriers with the longest length, and for the case that the K subcarriers are continuous, the number K of the subcarriers and a set subcarrier threshold K can be further used_ThrThe difference in the magnitude relationship between them is divided into two cases. Namely (1.1) and (1.2) as described below.

(1.1).K≥K_Thr

For K ≧ K_ThrAs shown in fig. 5, the CIR of the channel can be obtained by IFFT, and on this basis, the PDP of the channel can be calculated, and after noise suppression processing, FFT conversion is performed to obtain frequency domain correlation coefficients.

(1.2).K＜K_Thr

For K < K_ThrAs shown in fig. 5, the frequency domain correlation value may be directly calculated according to the channel estimation value, and compared with a plurality of channel models, and the frequency domain correlation coefficient may be obtained according to the determined most similar target channel model.

(2) K subcarriers are not contiguous.

For the case that K subcarriers are not consecutive, a segment of subcarriers with the longest length and being consecutive may be obtained from the non-consecutive subcarriers first, and the number of the segment of subcarriers is K'. According to the number K' and the set subcarrier threshold value K_ThrThe difference in the magnitude relationship between them is divided into two cases. Namely (2.1) and (2.2) as described below.

(2.1).K′≥K_Thr

For K' ≧ K_ThrAs shown in fig. 5, the CIR of the channel can be obtained by IFFT, and on this basis, the PDP of the channel can be calculated, and after noise suppression processing, FFT conversion is performed to obtain frequency domain correlation coefficients.

As can be seen from fig. 5, the processing steps of this case are the same as those of case (1.1).

(2.2).K′＜K_Thr

For K' < K_ThrAs shown in fig. 5, the frequency domain correlation value may be directly calculated according to the channel estimation value, and compared with a plurality of channel models, and the frequency domain correlation coefficient may be obtained according to the determined most similar target channel model.

As can be seen from fig. 5, the processing steps of this case are the same as those of case (1.2).

Referring to fig. 6, a schematic diagram of an estimation apparatus for frequency domain correlation coefficients provided in the embodiment of the present application is shown, and specifically, the estimation apparatus may include a target subcarrier obtaining module 601, a subcarrier number determining module 602, a channel estimating module 603, a frequency domain correlation value calculating module 604, and a frequency domain correlation information estimating module 605, where:

a target subcarrier acquiring module 601, configured to acquire a segment of target subcarriers with the longest length from subcarriers allocated to a terminal;

a subcarrier number determining module 602, configured to determine whether the number of the target subcarriers is smaller than a set subcarrier threshold;

a channel estimation module 603, configured to obtain a channel estimation value through channel estimation if the number of the target subcarriers is smaller than the subcarrier threshold;

a frequency domain correlation value calculating module 604, configured to calculate a frequency domain correlation value using the channel estimation value;

a frequency domain correlation information estimation module 605, configured to estimate a frequency domain correlation coefficient based on the frequency domain correlation value and a plurality of preset channel models.

In a possible implementation manner of the embodiment of the present application, the frequency domain correlation coefficient estimation module 605 is specifically configured to: respectively determining the similarity between the frequency domain correlation value and the frequency domain correlation functions of a plurality of preset channel models; determining a channel model corresponding to the maximum similarity as a target channel model; and estimating the frequency domain correlation coefficient according to the target channel model.

In another possible implementation manner of the embodiment of the present application, the channel estimation module 603 is specifically configured to: and calculating the channel estimation value by adopting a least square criterion channel estimation algorithm.

In another possible implementation manner of the embodiment of the present application, the frequency domain correlation function may be expressed as:

wherein, tau_maxFor maximum multipath delay, Δ f is the system subcarrier spacing.

In another possible implementation manner of the embodiment of the present application, the subcarrier number determining module 602 is specifically configured to calculate a power delay distribution of a channel according to the target subcarrier if the number of the target subcarriers is greater than or equal to the subcarrier threshold; and estimating the frequency domain correlation coefficient according to the power time delay distribution.

In a possible implementation manner of the embodiment of the present application, the frequency domain related information estimation module 605 is specifically configured to: and according to the power time delay distribution, performing fast Fourier transform after noise suppression processing to obtain the frequency domain correlation coefficient.

In another possible implementation manner of the embodiment of the present application, the obtaining a section of target subcarriers with the longest length from the subcarriers allocated to the terminal is obtained based on the following formula:

S(k+1)-S(k)＝1，k＝0,1,2,…,K-1……(13)

wherein S is the absolute index set of the subcarriers, and K is the number of the subcarriers.

For the apparatus embodiment, since it is substantially similar to the method embodiment, it is described relatively simply, and reference may be made to the description of the method embodiment section for relevant points.

Referring to fig. 7, a schematic diagram of a communication device of an embodiment of the present application is shown. As shown in fig. 7, the communication apparatus 700 of the present embodiment includes: a processor 710, a memory 720, and a computer program 721 stored in said memory 720 and operable on said processor 710. The processor 710, when executing the computer program 721, implements the steps in various embodiments of the estimation method for frequency domain related information, such as the steps S101 to S106 shown in fig. 1. Alternatively, the processor 710, when executing the computer program 721, implements the functions of each module/unit in each device embodiment described above, for example, the functions of the modules 601 to 606 shown in fig. 6.

Illustratively, the computer program 721 may be divided into one or more modules/units, which are stored in the memory 720 and executed by the processor 710 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing certain functions, which may be used to describe the execution of the computer program 721 in the communication device 700. For example, the computer program 721 may be divided into a target subcarrier acquiring module, a subcarrier number determining module, a channel estimating module, a frequency domain correlation value calculating module, and a frequency domain correlation coefficient estimating module, where the specific functions of each module are as follows:

the target subcarrier acquiring module is used for acquiring a section of target subcarrier with the longest length from subcarriers allocated to the terminal; wherein, any segment of subcarriers is continuous subcarriers;

the subcarrier number judging module is used for judging whether the number of the target subcarriers is smaller than a set subcarrier threshold value or not;

the channel estimation module is used for obtaining a channel estimation value through channel estimation if the number of the target subcarriers is smaller than the subcarrier threshold;

a frequency domain correlation value calculating module for calculating a frequency domain correlation value by using the channel estimation value;

and the frequency domain correlation coefficient estimation module is used for estimating the frequency domain correlation coefficient based on the frequency domain correlation value and a plurality of preset channel models.

The communication device 700 may be a base station or a terminal, wherein the terminal comprises a handset, tablet or personal computer. The communication device 700 may include, but is not limited to, a processor 710, a memory 720. Those skilled in the art will appreciate that fig. 7 is merely an example of a communication device 700 and does not constitute a limitation of communication device 700 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., communication device 700 may also include input-output devices, network access devices, buses, etc.

The Processor 710 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 720 may be an internal storage unit of the communication device 700, such as a hard disk or a memory of the communication device 700. The memory 720 may also be an external storage device of the communication device 700, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the communication device 700. Further, the memory 720 may also include both internal storage units and external storage devices of the communication device 700. The memory 720 is used for storing the computer programs 721 and other programs and data required by the communication device 700. The memory 720 may also be used to temporarily store data that has been output or is to be output.

The embodiment of the present application further discloses a communication device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the estimation method of the frequency domain correlation coefficient according to the foregoing embodiments when executing the computer program.

The embodiment of the application also discloses a computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the estimation method of the frequency domain correlation coefficient according to the foregoing embodiments.

The embodiment of the present application further discloses a computer program product, which when running on a communication device, causes the communication device to execute the estimation method of the frequency domain correlation coefficient described in the foregoing embodiments.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same. Although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.