Interference signal estimation method, apparatus, device and computer readable storage medium

文档序号:1448674 发布日期:2020-02-18 浏览:9次 中文

阅读说明:本技术 干扰信号估计方法、装置、设备和计算机可读存储介质 (Interference signal estimation method, apparatus, device and computer readable storage medium ) 是由 许方敏 严军荣 于 2019-10-12 设计创作,主要内容包括:本申请涉及一种干扰信号估计方法、装置、设备和计算机可读存储介质,其中,该方法包括:从多根接收天线获取接收信号;估计接收信号中的干扰信号,得到第一干扰信号估计结果;根据接收信号和第一干扰信号估计结果,估计接收信号中的发射信号,得到第一发射信号估计结果;根据第一发射信号估计结果,修正第一干扰信号估计结果,得到第二干扰信号估计结果。通过本发明,解决了相关技术中为每根天线配置导频符号或训练序列的信道估计方法导致的系统资源浪费的问题,降低了信道估计占用的系统资源。(The application relates to an interference signal estimation method, an apparatus, a device and a computer readable storage medium, wherein the method comprises the following steps: acquiring received signals from a plurality of receiving antennas; estimating an interference signal in a received signal to obtain a first interference signal estimation result; estimating a transmitting signal in the received signal according to the received signal and the first interference signal estimation result to obtain a first transmitting signal estimation result; and correcting the first interference signal estimation result according to the first transmission signal estimation result to obtain a second interference signal estimation result. The invention solves the problem of system resource waste caused by a channel estimation method for configuring pilot frequency symbols or training sequences for each antenna in the related art, and reduces the system resources occupied by channel estimation.)

1. An interference signal estimation method applied to a large-scale antenna system with a plurality of receiving antennas, the method comprising:

acquiring received signals from the plurality of receive antennas;

estimating an interference signal in the received signal to obtain a first interference signal estimation result;

estimating a transmitting signal in the receiving signal according to the receiving signal and the first interference signal estimation result to obtain a first transmitting signal estimation result;

and correcting the first interference signal estimation result according to the first transmission signal estimation result to obtain a second interference signal estimation result.

2. The method of claim 1, wherein in estimating the interference signal in the received signal to obtain a first interference signal estimation result, the estimating method for estimating the interference signal comprises: blind signal estimation.

3. The method of claim 1, wherein estimating a transmitted signal in the received signal according to the received signal and the first interference signal estimation result, and obtaining a first transmitted signal estimation result comprises:

processing the received signal and the first interference signal estimation result by adopting a maximum likelihood estimation method to obtain a maximum result of the transmitted signal;

and obtaining the estimation result of the first transmission signal according to the maximization result of the transmission signal.

4. The method of claim 1, wherein estimating the interference signal in the received signal and obtaining the first interference signal estimation result comprises:

receiving signal

Figure FDA0002231786970000011

Estimating the first interference signal estimation result according to the following formula:

wherein y ═ y1,y2,...,yN)TRepresenting the received signal, x representing the transmitted signal,

Figure FDA0002231786970000013

wherein the content of the first and second substances,

Figure FDA0002231786970000021

5. The method of claim 4, wherein estimating a transmitted signal in the received signal according to the received signal and the first interference signal estimation result, and obtaining the first transmitted signal estimation result further comprises:

calculating a maximization result r (x) of the transmission signal according to the following formula:

Figure FDA0002231786970000022

wherein λ satisfies:

Figure FDA0002231786970000023

wherein, ω isiSatisfies the following conditions:

Figure FDA0002231786970000024

estimating the first transmission signal estimation result from the maximization result R (x) of the transmission signalWherein the content of the first and second substances,satisfies the following conditions:

Figure FDA0002231786970000027

wherein x represents the transmitted signal and yiRepresenting the signal received by the ith receive antenna,

Figure FDA00022317869700000212

6. The method of claim 5, wherein modifying the first interference signal estimation result according to the first transmission signal estimation result to obtain the second interference signal estimation result comprises:

estimating the second interference signal estimation result according to the following formula:

wherein, ηnSatisfies the following conditions:

Figure FDA0002231786970000029

wherein K satisfies: k (x) 15(1-x)2/16;

Wherein the content of the first and second substances,

Figure FDA00022317869700000210

7. The method according to any of claims 1-6, wherein after modifying the first interference signal estimation result according to the first transmission signal estimation result to obtain the second interference signal estimation result, the method further comprises:

and estimating the transmitting signal according to the second interference signal estimation result to obtain a second transmitting signal estimation result.

8. The method of claim 7, wherein in estimating the transmit signal based on the second interference signal estimation, resulting in the second transmit signal estimation, the method of estimating the transmit signal comprises at least one of:

minimum Mean Square Error (MMSE) signal estimation method and Least Square (LS) signal estimation method.

9. An interference signal estimation apparatus applied to a large-scale antenna system having a plurality of receiving antennas, the apparatus comprising:

an obtaining module, configured to obtain received signals from the multiple receiving antennas;

the first estimation module is used for estimating an interference signal in the received signal to obtain a first interference signal estimation result;

a second estimation module, configured to estimate a transmit signal in the received signal according to the received signal and the first interference signal estimation result, so as to obtain a first transmit signal estimation result;

and the correcting module is used for correcting the first interference signal estimation result according to the first transmission signal estimation result to obtain a second interference signal estimation result.

10. An interference signal estimation device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 8 when executing the computer program.

11. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 8.

Technical Field

The present application relates to the field of communications technologies, and in particular, to an interference signal estimation method, apparatus, device, and computer-readable storage medium.

Background

A Massive antenna system (Massive MIMO) is a multiple-input multiple-output system, which is currently one of the most promising wireless transmission techniques in fifth generation (5G) communication systems because it effectively improves the capacity and spectral efficiency of wireless communication systems. In the large-scale antenna system, a large number of antennas are arranged at a base station end, and as the number of base station antennas of a cell is infinitely increased, the influence of thermal noise and interference signals generated among users of different cells on the system performance is close to zero. At the same time, this ubiquitous network connection also presents a number of problems, as the wirelessly transmitted signals are susceptible to interference and attack, there are many security risks when large amounts of private information are being propagated through the wireless channel.

When there is an attack or interference signal, signal detection is needed to ensure that the receiving end of the wireless communication system recovers the signal of the transmitting end as accurately as possible, and channel estimation is a very important link in signal detection. In the related art, the method for estimating the channel includes adding a pilot frequency or a training sequence before transmitting a signal, estimating a channel coefficient by a receiving end through the pilot frequency or the training sequence, and ensuring the accuracy of detection and estimation of a subsequent transmitted signal by using the channel state information. However, in a large-scale antenna array system, if a large amount of system resources are consumed by configuring a pilot symbol or a training sequence for each antenna, the data transmission rate is low, and the system performance gain caused by the large-scale antenna array cannot be fully utilized.

Aiming at the problem of system resource waste caused by a channel estimation method for configuring pilot symbols or training sequences for each antenna in the related art, no effective solution is provided at present.

Disclosure of Invention

Based on this, the present application provides an interference signal estimation method, apparatus, device and computer-readable storage medium to solve the problem of system resource waste caused by a channel estimation method that configures a pilot symbol or a training sequence for each antenna in the related art.

In a first aspect, the present application provides an interference signal estimation method applied to a large-scale antenna system having multiple receiving antennas, the method including: acquiring received signals from a plurality of receiving antennas; estimating an interference signal in a received signal to obtain a first interference signal estimation result; estimating a transmitting signal in the received signal according to the received signal and the first interference signal estimation result to obtain a first transmitting signal estimation result; and correcting the first interference signal estimation result according to the first transmission signal estimation result to obtain a second interference signal estimation result.

In one possible implementation manner, in estimating an interference signal in a received signal and obtaining a first interference signal estimation result, the method for estimating the interference signal includes: blind signal estimation.

In one possible implementation manner, estimating a transmission signal in the received signal according to the received signal and the first interference signal estimation result, and obtaining the first transmission signal estimation result includes: processing the received signal and the first interference signal estimation result by adopting a maximum likelihood estimation method to obtain a maximization result of the transmitted signal; and obtaining a first transmission signal estimation result according to the maximization result of the transmission signal.

In one possible implementation, estimating an interference signal in the received signal, and obtaining a first interference signal estimation result includes:

receiving signal

Figure BDA0002231786980000021

Estimating a first interference signal estimation result according to the following formula:

Figure BDA0002231786980000022

wherein y ═ y1,y2,...,yN)TRepresenting a received signal, x representing a transmitted signal,

Figure BDA0002231786980000023

representing a channel matrix from the transmitting end to the receiving end, Jjamming representing an interference signal, H2A channel matrix representing the jammer signal Jjamming, e ═ e1,e2,...,eN)T,eiMean 0 and variance σ2Is a white additive gaussian noise of (1),Trepresenting the transposition of the matrix, i is more than or equal to 1 and less than or equal to N;

wherein the content of the first and second substances,

Figure BDA0002231786980000024

is shown asAn interference signal estimation result, N represents the number of receiving antennas, ηnRepresents the weight coefficient, y, corresponding to the n-th receiving antennanRepresenting the signal received by the nth receive antenna.

In a possible implementation manner, estimating a transmission signal in the received signal according to the received signal and the first interference signal estimation result, and obtaining the first transmission signal estimation result further includes:

the maximization result r (x) of the transmission signal is calculated according to the following formula:

Figure BDA0002231786980000031

wherein λ satisfies:

Figure BDA0002231786980000032

wherein, ω isiSatisfies the following conditions:

Figure BDA0002231786980000033

estimating a first transmitted signal estimation result from a maximization result R (x) of the transmitted signal

Figure BDA0002231786980000034

Wherein the content of the first and second substances,

Figure BDA0002231786980000035

satisfies the following conditions:

Figure BDA0002231786980000036

wherein x denotes a transmission signal and yiRepresenting the signal received by the ith receive antenna,

Figure BDA0002231786980000037

the first interference signal estimation result is expressed.

In a possible implementation manner, modifying the first interference signal estimation result according to the first transmission signal estimation result to obtain the second interference signal estimation result includes:

estimating a second interference signal estimation result according to the following formula:

Figure BDA0002231786980000038

wherein, ηnSatisfies the following conditions:

Figure BDA0002231786980000039

wherein K satisfies: k (x) 15(1-x)2/16;

Wherein the content of the first and second substances,

Figure BDA00022317869800000310

representing the second interference signal estimate, ηnRepresents the weight coefficient, ylIndicating the signal received by the l-th receiving antenna,

Figure BDA00022317869800000311

representing the first transmitted signal estimation result.

In a possible implementation manner, after the first interference signal estimation result is modified according to the first transmission signal estimation result to obtain the second interference signal estimation result, the method further includes: and estimating the transmitting signal according to the second interference signal estimation result to obtain a second transmitting signal estimation result.

In one possible implementation manner, in estimating the transmission signal according to the second interference signal estimation result to obtain a second transmission signal estimation result, the estimation method for estimating the transmission signal includes at least one of: minimum Mean-Square Error (MMSE) signal estimation method, Least Square (LS) signal estimation method.

In a second aspect, the present application provides an interference signal estimation apparatus for a large-scale antenna system having multiple receiving antennas, the apparatus comprising: an acquisition module, configured to acquire received signals from multiple receiving antennas; the first estimation module is used for estimating an interference signal in the received signal to obtain a first interference signal estimation result; the second estimation module is used for estimating a transmitting signal in the receiving signal according to the receiving signal and the first interference signal estimation result to obtain a first transmitting signal estimation result; and the correcting module is used for correcting the first interference signal estimation result according to the first transmission signal estimation result to obtain a second interference signal estimation result.

In a third aspect, the present application provides an interference signal estimation device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the interference signal estimation method of the first aspect when executing the computer program.

In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the interference signal estimation method of the first aspect.

The interference signal estimation method, the interference signal estimation device, the interference signal estimation apparatus, and the computer-readable storage medium provided by the present application acquire a reception signal from a plurality of reception antennas; estimating an interference signal in a received signal to obtain a first interference signal estimation result; estimating a transmitting signal in the received signal according to the received signal and the first interference signal estimation result to obtain a first transmitting signal estimation result; according to the first transmitted signal estimation result, the first interference signal estimation result is corrected to obtain a second interference signal estimation result, the problem of system resource waste caused by a channel estimation method for configuring a pilot frequency symbol or a training sequence for each antenna in the related art is solved, and system resources occupied by channel estimation are reduced.

The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.

Drawings

In order to more clearly illustrate the embodiments of the present application or technical solutions in related arts, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.

Fig. 1 is a flowchart of an interference signal estimation method according to an embodiment of the present application;

fig. 2 is a block diagram of an interference signal estimation apparatus according to an embodiment of the present application;

fig. 3 is a schematic hardware structure diagram of an interference signal estimation apparatus according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other examples, which can be obtained by a person skilled in the art without making any inventive step based on the examples in this application, are within the scope of protection of this application.

In the present embodiment, an interference signal estimation method is provided. As shown in fig. 1, a flowchart of an interference signal estimation method according to an embodiment of the present application is provided, where the flowchart includes the following steps:

step S102, obtaining receiving signals from a plurality of receiving antennas;

step S104, estimating an interference signal in the received signal to obtain a first interference signal estimation result;

step S106, estimating a transmitting signal in the receiving signal according to the receiving signal and the first interference signal estimation result to obtain a first transmitting signal estimation result;

step S108, according to the first transmitting signal estimation result, the first interference signal estimation result is corrected to obtain a second interference signal estimation result.

The method is suitable for a single-user uplink large-scale antenna system with a single transmitting antenna and a plurality of receiving antennas. Assuming that an attacker sends an interfering signal in the useful signal transmission process, the existence of the attacking signal may interfere with the signal transmitted by the transmitting end, so that the signal received by the receiving end is doped with the interfering signal. When a traditional communication system estimates signals, the signals need to be estimated according to a pilot sequence with a certain length sent by a sending end before sending data, which causes waste of system resources. The method used by the embodiment of the invention adopts two-step estimation on the interference signal, wherein the estimation result of the interference signal is corrected by using the estimation result of the transmitting signal in the receiving signal, so that the estimation result of the interference signal is more accurate, the problem of system resource waste caused by a channel estimation method for configuring a pilot frequency symbol or a training sequence for each antenna in the related technology is solved, and the system resources occupied by channel estimation are reduced.

In this embodiment, the basic principle of estimating the interference signal in the received signal is to preset the statistical characteristics of the transmitted signal, and obtain the estimated value of the channel impulse response at the receiving end by using these assumptions and the received signal according to the algorithm without the need of receiving auxiliary information other than the signal, i.e., without inserting a pilot sequence in the signal.

In one embodiment, in step S104, a fitting method, a statistical estimation method, or other blind signal estimation methods may be used to estimate the interference signal in the received signal.

In this embodiment, a fitting method may be used to estimate the interference signal, and the estimation method may be any fitting algorithm in the related art, such as a curve fitting algorithm, a distribution fitting algorithm, and the like, which can achieve the purpose of this embodiment. The curve fitting algorithm fits an expression of a determined function in the interference signal by means of the determined function and the stochastic function noise; the distribution fitting algorithm is used for fitting the statistical characteristics of the interference signals.

When blind signal estimation is carried out, no other prior knowledge about signal sources such as transmitting signals, interference signals and the like and transmission channels exists, and only the prerequisite that the signal sources are independent is provided. Therefore, in the present embodiment, the estimation of the interference signal can also be realized by using a statistical estimation method, which can be any statistical estimation method in the related art that can achieve the purpose of the present embodiment, such as a higher-order statistical estimation method, and the estimation method can handle not only gaussian processes but also non-gaussian processes.

In one embodiment, in step S106, the received signal and the first interference signal estimation result may be processed by using a maximum likelihood estimation method to obtain a maximum result of the transmitted signal; and obtaining a first transmission signal estimation result according to the maximization result of the transmission signal.

In this embodiment, the obtained received signal at least includes a transmitted signal and an interference signal, that is, two signal sources, and for the case that the parameter prior information is unknown and the number of the signal sources is known, the maximum likelihood estimation method is a preferred method for processing the received signal, and in the case that some signal-to-noise ratios are low, long data occasions and there is a certain correlation between the signal sources, the maximum likelihood estimation method embodies good accuracy characteristics compared with other methods.

The embodiments of the invention will be described and illustrated below with reference to preferred embodiments.

Step 1: considering a single-user uplink large-scale antenna system with 1 transmitting antenna and N receiving antennas, suppose that an attacker sends an interference signal J which changes along with time t in the useful signal transmitting processjamming(t), the signal reception model may be expressed as:

Figure BDA0002231786980000061

wherein y ═ y1,y2,...,yN)TRepresenting a received signal, x representing a transmitted signal,

Figure BDA0002231786980000071

representing the channel matrix from the transmitting end to the receiving end, JjammingRepresenting an interference signal, H2Representing an interference signal JjammingOf (e), e ═ e1,e2,...,eN)T,eiMean 0 and variance σ2Is a white additive gaussian noise of (1),Trepresenting the transposition of the matrix, i is more than or equal to 1 and less than or equal to N.

Step 2: for interference signals according to the following formulaAnd (3) blind signal estimation is carried out:

Figure BDA0002231786980000073

wherein the content of the first and second substances,

Figure BDA0002231786980000074

representing the first interference signal estimation result, N representing the number of receiving antennas, ηnRepresents the weight coefficient, y, corresponding to the n-th receiving antennanRepresenting the signal received by the nth receive antenna.

Wherein, ηnSatisfies the following conditions:

Figure BDA0002231786980000075

wherein K satisfies: k (x) 15(1-x)2/16。

And step 3: the maximum likelihood estimation is performed on the transmitted signal x according to the following formula:

wherein λ satisfies:

Figure BDA0002231786980000077

wherein, ω isiSatisfies the following conditions:

Figure BDA0002231786980000078

estimating a first transmitted signal estimation result from a maximization result R (x) of the transmitted signal

Figure BDA0002231786980000079

Wherein the content of the first and second substances,satisfies the following conditions:

Figure BDA00022317869800000711

wherein x denotes a transmission signal and yiRepresenting the signal received by the ith receive antenna,

Figure BDA00022317869800000712

the first interference signal estimation result is expressed.

And 4, step 4: subjecting the product obtained in step 3

Figure BDA00022317869800000713

Substituting the formula in the step 2 to correct the first interference signal estimation result to obtain a second interference signal estimation result:

Figure BDA0002231786980000081

wherein, ηnSatisfies the following conditions:

Figure BDA0002231786980000082

wherein K satisfies: k (x) 15(1-x)2/16;

Wherein the content of the first and second substances,

Figure BDA0002231786980000083

representing the second interference signal estimate, ηnRepresents the weight coefficient, ylIndicating the signal received by the l-th receiving antenna,representing the first transmitted signal estimation result.

And 5: will be provided with

Figure BDA0002231786980000085

And substituting the estimated result into the step 1, estimating the transmitting signal according to the estimated result of the second interference signal, and obtaining the estimated result of the second transmitting signal so as to further accurately detect the transmitting signal in the receiving signal.

In this embodiment, after the interference signal in the received signal is estimated in two steps to obtain a more accurate interference signal, that is, a second interference signal estimation result, the second interference signal estimation result is substituted into the signal receiving model assumed in the above embodiment to obtain a more accurate transmission signal, that is, a second transmission signal estimation result, thereby realizing separation of the transmission signal and the interference signal.

In an embodiment, in estimating the transmit signal according to the second interference signal estimation result to obtain the second transmit signal estimation result, the estimation method for estimating the transmit signal may be a Minimum Mean-square error (MMSE) signal estimation method. By the method, in a non-ideal transmission channel with the influence of interference signals, the expectation of the square of the error between the transmitting signal received by the receiving end and the transmitting signal transmitted by the transmitting end can be minimized, so that the transmitting signal received by the receiving end approaches the transmitting signal transmitted by the transmitting end, the transmitting signal is accurately estimated, and the separation of the transmitting signal and the interference signals is realized.

In an embodiment, in estimating the transmit signal according to the second interference signal estimation result to obtain the second transmit signal estimation result, the estimation method for estimating the transmit signal may also be a Least Square (LS) signal estimation method. The basic principle of the method is to seek the estimated value of the transmitted signal, so that the distance between the estimated value of the transmitted signal and the actual value of the transmitted signal is minimum, and the minimum distance can be obtained by minimizing the square of the difference between the estimated value and the actual value, thereby accurately estimating the transmitted signal and realizing the separation of the transmitted signal and the interference signal.

In this embodiment, an interference signal estimation apparatus is further provided, and the apparatus is used to implement the foregoing embodiments and preferred embodiments, and the description of which has been already made is omitted. As used below, the terms "module," "sub-module" may implement a combination of software and/or hardware for a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

Fig. 2 is a block diagram of an interference signal estimation apparatus according to an embodiment of the present application, and as shown in fig. 2, the apparatus includes: an acquisition module 202, a first estimation module 204, a second estimation module 206, a modification module 208, wherein,

an obtaining module 202, configured to obtain received signals from multiple receiving antennas;

a first estimating module 204, coupled to the obtaining module 202, configured to estimate an interference signal in the received signal to obtain a first interference signal estimation result;

a second estimating module 206, coupled to the obtaining module 202 and the first estimating module 204, configured to estimate, according to the received signal and the first interference signal estimation result, a transmitting signal in the received signal to obtain a first transmitting signal estimation result;

the modification module 208 is coupled to the first estimation module 204 and the second estimation module 206, and configured to modify the first interference signal estimation result according to the first transmission signal estimation result to obtain a second interference signal estimation result.

In one embodiment, the first estimation module 204 is configured to estimate an interference signal in the received signal by using a blind signal estimation method to obtain a first interference signal estimation result.

In one embodiment, the second estimation module 206 is configured to process the received signal and the first interference signal estimation result by using a maximum likelihood estimation method to obtain a maximum result of the transmitted signal; and obtaining a first transmission signal estimation result according to the maximization result of the transmission signal.

In one embodiment, the first estimation module 204 is configured to estimate the first estimated signal as

Figure BDA0002231786980000092

Then, the first interference signal estimation result is estimated according to the following formula:

wherein y ═ y1,y2,...,yN)TRepresenting a received signal, x representing a transmitted signal,

Figure BDA0002231786980000094

representing the channel matrix, Jjamming representing the interference signal, H2A channel matrix representing the jammer signal Jjamming, e ═ e1,e2,...,eN)T,eiMean 0 and variance σ2Is a white additive gaussian noise of (1),Trepresenting the transposition of the matrix, i is more than or equal to 1 and less than or equal to N;

wherein the content of the first and second substances,

Figure BDA0002231786980000101

representing the first interference signal estimation result, N representing the number of receiving antennas, ηnRepresents the weight coefficient, y, corresponding to the n-th receiving antennanRepresenting the signal received by the nth receive antenna.

In one embodiment, the second estimation module 206 is configured to calculate the maximization result r (x) of the transmission signal according to the following formula:

Figure BDA0002231786980000102

wherein λ satisfies:

Figure BDA0002231786980000103

wherein, ω isiSatisfies the following conditions:

Figure BDA0002231786980000104

and estimating a first transmission signal estimation result from the maximization results R (x) of the transmission signals

Figure BDA0002231786980000105

Wherein the content of the first and second substances,satisfies the following conditions:

wherein x denotes a transmission signal and yiRepresenting the signal received by the ith receive antenna,

Figure BDA0002231786980000108

the first interference signal estimation result is expressed.

In one embodiment, the modification module 208 is configured to estimate the second interference signal estimation result according to the following formula:

Figure BDA0002231786980000109

wherein, ηnSatisfies the following conditions:

wherein K satisfies: k (x) 15(1-x)2/16;

Wherein the content of the first and second substances,representing the second interference signal estimate, ηnRepresents the weight coefficient, ylIndicating the signal received by the l-th receiving antenna,

Figure BDA00022317869800001012

representing the first transmitted signal estimation result.

In one embodiment, the apparatus further comprises: and the third estimation module is used for estimating the transmitting signal according to the second interference signal estimation result to obtain a second transmitting signal estimation result.

In addition, the interference signal estimation method of the embodiment of the present application described in conjunction with fig. 1 may be implemented by an interference signal estimation apparatus. Fig. 3 shows a hardware structure diagram of an interference signal estimation device according to an embodiment of the present application.

The interfering signal estimating apparatus may comprise a processor 301 and a memory 302 having stored computer program instructions.

Specifically, the processor 301 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.

Memory 302 may include mass storage for data or instructions. By way of example, and not limitation, memory 302 may include a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, tape, or Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 302 may include removable or non-removable (or fixed) media, where appropriate. The memory 302 may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory 302 is a non-volatile solid-state memory. In a particular embodiment, the memory 302 includes Read Only Memory (ROM). Where appropriate, the ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory or a combination of two or more of these.

The processor 301 reads and executes the computer program instructions stored in the memory 302 to implement any one of the interference signal estimation methods in the above embodiments.

In one example, the interference signal estimation device may also include a communication interface 303 and a bus 300. As shown in fig. 3, the processor 301, the memory 302, and the communication interface 303 are connected via a bus 300 to complete communication therebetween.

The communication interface 303 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiment of the present application.

The bus 300 includes hardware, software, or both that couple the components of the interference signal estimation device to each other. By way of example, and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hypertransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus or a combination of two or more of these. Bus 110 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.

The interference signal estimation device may execute the interference signal estimation method in the embodiment of the present application based on the acquired received signal, thereby implementing the interference signal estimation method described in conjunction with fig. 1.

In addition, in combination with the interference signal estimation method in the foregoing embodiments, the embodiments of the present application may be implemented by providing a computer-readable storage medium. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any one of the interference signal estimation methods in the above embodiments.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

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