WO2021068194A1

WO2021068194A1 - Training method and apparatus for antenna signal processing model, and antenna and storage medium

Info

Publication number: WO2021068194A1
Application number: PCT/CN2019/110603
Authority: WO
Inventors: 管明祥; 吴舟; 崔英杰; 曹雪梅; 王乐; 彭保; 刘明; 叶剑锋
Original assignee: 深圳信息职业技术学院
Priority date: 2019-10-11
Filing date: 2019-10-11
Publication date: 2021-04-15
Also published as: CN114223270A; CN114223270B

Abstract

A training method and apparatus for an antenna signal processing model, an antenna and a computer-readable storage medium. The training method comprises: step S210, acquiring preset training data; step S220, processing an antenna signal sample to obtain a transmission power of the antenna signal sample; step S230, inputting the transmission power of the antenna signal sample into a preset antenna signal processing model, and acquiring an output signal transmission power that is output by the antenna signal processing model and corresponds to the antenna signal sample; and step S240, adjusting model parameters of the antenna signal processing model according to a target signal transmission power and the output signal transmission power, and continuing to execute the step of inputting the transmission power of the antenna signal sample until a preset training condition is satisfied, so as to obtain a trained antenna signal processing model. The solution can improve the capacity and the quality of the whole antenna system to a certain extent.

Description

Training method, device, antenna and storage medium of antenna signal processing model

Technical field

The present invention relates to the technical field of signal processing, in particular to a training method, device, antenna and computer-readable storage medium of an antenna signal processing model.

Background technique

Radio equipment such as communications, radar, navigation, broadcasting, television, etc., all transmit information through radio wave signals, and all require the radiation and reception of radio wave signals. In radio equipment, this device used to radiate and receive radio waves is called an antenna.

In the related technology of antenna transmission signal, since the signal transmission power of the antenna is adjustable, antennas of different standards and formats can be connected to the multi-antenna system. However, when a certain antenna adjusts the signal transmission power to make beamforming, other antennas in the same access multi-antenna system will be interfered by the antenna signal. At the same time, when the antenna receives signals, it will also be interfered by other antennas, which will affect the receiving effect. This dynamic mutual interference between antenna signals weakens the capacity and quality of the entire antenna system.

The statements here only provide background information related to this application, and do not necessarily constitute prior art.

technical problem

One of the objectives of the embodiments of the present application is to provide a training method, device, antenna, and computer-readable storage medium for an antenna signal processing model, aiming to solve the problem of dynamic mutual interference between antenna signals.

Technical solutions

In order to solve the above technical problems, the technical solutions adopted in the embodiments of this application are:

In the first aspect, a training method of an antenna signal processing model is provided, including:

Acquiring preset training data, where the training data includes an antenna signal sample set and a target signal transmission power corresponding to each antenna signal sample in the antenna signal sample set;

Processing the antenna signal sample to obtain the transmit power of the antenna signal sample;

Input the transmit power of the antenna signal sample into a preset antenna signal processing model, and obtain the output signal transmit power corresponding to the antenna signal sample output by the antenna signal processing model;

According to the target signal transmit power and the output signal transmit power, adjust the model parameters of the antenna signal processing model, and continue to execute the input of the transmit power of the antenna signal sample into the preset antenna signal processing model Steps until the preset training conditions are met to obtain the trained antenna signal processing model.

In an embodiment, the antenna signal processing model includes a power identification module and a power adjustment module;

The inputting the transmission power of the antenna signal sample into a preset antenna signal processing model and obtaining the output signal transmission power corresponding to the antenna signal sample output by the antenna signal processing model includes:

Input the transmit power of the antenna signal sample into the power identification module to identify the transmit power of the antenna signal sample;

The transmission power of the antenna signal sample is input to the power adjustment module to obtain the output signal transmission power corresponding to the antenna signal sample.

In an embodiment, the inputting the transmission power of the antenna signal sample into the power adjustment module to obtain the output signal transmission power corresponding to the antenna signal sample includes:

Initialize the spatial position and movement speed of the transmit power of the antenna signal sample;

Calculating the fitness value of the transmit power of the antenna signal sample according to a predetermined fitness value calculation formula;

Determine, according to the fitness value, a target position corresponding to the transmit power of the antenna signal sample and a target position corresponding to the transmit power of the trained antenna signal sample;

Update the target position and movement speed of the transmit power of the antenna signal sample according to the target position corresponding to the transmit power of the antenna signal sample and the target position corresponding to the transmit power of the trained antenna signal sample;

When the preset training termination condition is met, output signal transmission power corresponding to the antenna signal sample is output.

In an embodiment, the adjusting the model parameters of the antenna signal processing model according to the target signal transmission power and the output signal transmission power includes:

Respectively calculating the net utility value of the first signal corresponding to the transmission power of the output signal and the net utility value of the second signal corresponding to the transmission power of the target signal;

When the absolute value of the difference between the net utility value of the first signal and the net utility value of the second signal is less than the predetermined utility difference, the model parameters of the antenna signal processing model are adjusted.

In a second aspect, an antenna signal processing method is provided, including:

Obtain the antenna signal to be transmitted;

Processing the antenna signal to be transmitted to obtain the transmission power of the antenna signal to be transmitted;

Input the transmission power of the antenna signal to be transmitted into the trained antenna signal processing model, and obtain the output signal transmission power output by the antenna signal processing model corresponding to the transmission power of the antenna signal to be transmitted, the The antenna signal processing model is any one of the antenna signal processing models described above.

Said inputting the transmission power of the antenna signal to be transmitted into a trained antenna signal processing model, and obtaining the output signal transmission power output by the antenna signal processing model corresponding to the transmission power of the antenna signal to be transmitted, include:

Input the transmission power of the antenna signal to be transmitted into the power identification module to obtain the transmission power of the antenna signal to be transmitted;

The transmission power of the antenna signal to be transmitted is input to the power adjustment module to obtain the output signal transmission power corresponding to the antenna signal to be transmitted.

In an embodiment, the inputting the transmission power of the antenna signal to be transmitted into the power adjustment module to obtain the output signal transmission power corresponding to the antenna signal to be transmitted includes:

Initialize the spatial position and movement speed of the transmission power of the antenna signal to be transmitted;

Calculating the fitness value of the transmit power of the antenna signal to be transmitted according to a predetermined fitness value calculation formula;

Determine, according to the fitness value, a target position corresponding to the transmission power of the antenna signal to be transmitted and a target position corresponding to the transmission power of the trained antenna signal sample;

Update the target position and movement speed of the transmission power of the antenna signal to be transmitted according to the target position corresponding to the transmission power of the antenna signal to be transmitted and the target position corresponding to the transmission power of the trained antenna signal sample;

When the preset training termination condition is met, the output signal transmission power corresponding to the transmission power of the antenna signal to be transmitted is output.

In a third aspect, an antenna signal processing device is provided, including:

The acquisition module is used to acquire the antenna signal to be transmitted;

The first processing unit is configured to process the antenna signal to be transmitted to obtain the transmission power of the antenna signal to be transmitted;

The second processing unit is configured to input the transmission power of the antenna signal to be transmitted into the trained antenna signal processing model, and obtain the output power of the antenna signal processing model corresponding to the transmission power of the antenna signal to be transmitted Output signal transmission power, and the antenna signal processing model is any one of the antenna signal processing models described above.

In a fourth aspect, an antenna is provided, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor implements the method described above when the computer program is executed A step of.

In a fifth aspect, a computer-readable storage medium is provided, and the computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method described above.

Compared with the prior art, the embodiment of the present application has the beneficial effect that: the embodiment of the present application first obtains preset training data, where the training data includes an antenna signal sample set and each antenna in the antenna signal sample set. The target signal transmit power corresponding to the signal sample; then the antenna signal sample is processed to obtain the transmit power of the antenna signal sample; then, the transmit power of the antenna signal sample is input into the preset antenna signal processing model, and Obtain the output signal transmission power corresponding to the antenna signal sample output by the antenna signal processing model; finally, perform the model parameters of the antenna signal processing model according to the target signal transmission power and the output signal transmission power Adjust, and continue to execute the step of inputting the transmit power of the antenna signal sample into the preset antenna signal processing model until the preset training condition is met, so as to obtain the trained antenna signal processing model. Through this training method, the antenna signal processing model is continuously trained using the training data, and the model parameters are continuously adjusted according to the training results, so that the antenna signal processing model that meets the training conditions can be finally obtained. Using this antenna signal processing model, it is possible to quickly and accurately determine the appropriate transmission power of the current antenna signal to be transmitted, reduce the impact of the dynamic mutual interference between the antenna signals in the entire antenna system, and make the entire system achieve an improved signal efficiency and Suppress the balance and steady state of signal interference, thereby improving the capacity and quality of the entire antenna system.

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application, the following will briefly introduce the accompanying drawings that need to be used in the embodiments or exemplary technical descriptions. Obviously, the accompanying drawings in the following description are only of the present application. For some embodiments, those of ordinary skill in the art can obtain other drawings based on these drawings without creative work.

FIG. 1 is a schematic diagram of an exemplary system architecture of an antenna signal processing model, method, and device provided by an embodiment of the present application;

FIG. 2 is a schematic flowchart of a training method of an antenna signal processing model provided by an embodiment of the present application;

3 is a schematic flowchart of inputting the transmission power of an antenna signal sample into a preset antenna signal processing model, and obtaining the output signal transmission power corresponding to the antenna signal sample output by the antenna signal processing model;

4 is a schematic flowchart of step S2302 in a training method of an antenna signal processing model in an embodiment of the present application;

FIG. 5 is a flowchart of an embodiment of an antenna signal processing method in an embodiment of the present application;

FIG. 6 is a schematic flowchart of step S530 in an antenna signal processing method in an embodiment of the present application;

FIG. 7 is a structural diagram of an embodiment of an antenna signal processing device in an embodiment of this application;

FIG. 8 is a schematic block diagram of an antenna in an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solutions, and advantages of this application clearer, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and are not used to limit the present application.

It should be noted that when a component is referred to as being "fixed to" or "installed on" another component, it can be directly on the other component or indirectly on the other component. When a component is said to be "connected" to another component, it can be directly or indirectly connected to the other component. The terms "upper", "lower", "left", "right", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for ease of description, and do not indicate or imply the device referred to. Or the element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as a limitation of the present application. For those of ordinary skill in the art, the specific meaning of the above terms can be understood according to specific conditions. The terms "first" and "second" are only used for ease of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features. The meaning of "plurality" means two or more than two, unless otherwise specifically defined.

In order to illustrate the technical solutions described in this application, detailed descriptions are given below in conjunction with specific drawings and embodiments.

FIG. 1 shows a schematic diagram of a system architecture of an antenna signal processing model, method, and device application of an exemplary embodiment of the present application. The schematic diagram of the architecture exemplarily illustrates the system composition architecture of the entire antenna system, that is, the entire antenna system includes an antenna signal transmitting end and an antenna signal receiving end; wherein the antenna signal transmitting end includes: one or more antenna signals 101, one or more The antenna signal processing device 102 and one or more antenna signal transmitters 103 connected to the antenna signal processing device 102; the antenna signal receiving end includes: one or more antenna signal receivers 104.

It should be noted that one antenna signal transmitter 103 can perform the function of the antenna signal receiver 104 at the same time. Therefore, in FIG. 1, the structures of the antenna signal transmitting end and the antenna signal receiving end are only exemplary, and should not constitute any limitation to the present application. In addition, the number of the antenna system including the antenna signal 101, the antenna signal processing device 102, the antenna signal transmitter 103, and the antenna signal receiver 104 is merely illustrative. According to actual needs, there may be any number of antenna signals 101, antenna signal processing devices 102, antenna signal transmitters 103, and antenna signal receivers 104.

In a specific application scenario of this application, the user can use the antenna signal processing device to process the antenna signal that needs to be transmitted with a specific power (that is, the antenna signal whose transmission power is to be adjusted), and determine whether the predetermined specific power of the antenna signal to be transmitted is Suitable. If it is not suitable, the antenna signal processing method disclosed in the present application is used to adjust the transmission power to a suitable transmission power, and the antenna signal is transmitted according to the suitable transmission power.

The advantage of this is that it is convenient for users to transmit signals according to the optimal transmission power of the antenna at the current moment, so as to ensure the realization of the purpose of signal transmission, while minimizing the capacity and quality of the entire antenna system due to the antenna signal transmission. Impact.

In another specific application scenario of the present application, as shown in Fig. 1, the antenna signal sender needs to send the antenna signal to user A, but cannot determine whether the power of the antenna signal currently to be sent can be clearly received by user A, and at the same time I am also worried that if the transmit power of the antenna signal currently to be transmitted is directly adjusted to a higher transmit power, it will interfere with other antenna signal transmitters 103 and antenna signal receivers 104 in the entire antenna system, thereby affecting the entire antenna system. Capacity and quality. Therefore, the antenna signal sender can introduce the transmit power of the antenna signal currently to be transmitted into the antenna signal processing device 102 disclosed in this application, and the antenna signal processing device 102 can perform processing on the antenna according to the antenna signal processing method disclosed in the embodiments of this application. The transmission power of the signal 101 is processed to obtain the optimal transmission power of the antenna signal at the current time of the existing antenna system, so as to ensure that user A can receive the antenna signal normally, and to minimize the loss caused by the antenna signal transmission. The capacity and quality of the entire antenna system.

Based on the foregoing application scenarios, it can be known that the antenna signal processing in the embodiment of the present application is performed by the antenna signal processing device 102, which is located at the antenna signal transmitting end. However, it is easily understood by those skilled in the art that the antenna signal processing device 102 provided in the embodiment of the present application may also be located in the antenna signal receiving end. Accordingly, the antenna signal receiving end may include: one or more antenna signals 101 One or more antenna signal processing devices 102 and one or more antenna signal transmitters 103 connected to the antenna signal processing devices 102; the antenna signal transmitting end includes: one or more antenna signal receivers 104. There is no special limitation on this in the embodiments of the present application.

Through the embodiments of the present application, the appropriate transmission power of the current antenna signal to be transmitted can be determined quickly and accurately, thereby ensuring that the user can receive the antenna signal normally while minimizing the interference to other antenna signals due to the antenna signal transmission , Thereby improving the capacity and quality of the entire antenna system.

As shown in FIG. 2, it is a training method of an antenna signal processing model provided by an embodiment of the present application, and the method may include:

Step S210: Obtain preset training data, where the training data includes an antenna signal sample set and a target signal transmission power corresponding to each antenna signal sample in the antenna signal sample set;

Step S220: Process the antenna signal samples to obtain the transmit power of the antenna signal samples;

Step S230: Input the transmit power of the antenna signal sample into a preset antenna signal processing model, and obtain the output signal transmit power corresponding to the antenna signal sample output by the antenna signal processing model;

Step S240: Adjust the model parameters of the antenna signal processing model according to the target signal transmit power and the output signal transmit power, and continue to execute the input of the transmit power of the antenna signal sample into the preset antenna The steps of the signal processing model until the preset training conditions are met to obtain the trained antenna signal processing model.

The above steps are described in detail below.

In step S210, preset training data is acquired, where the training data includes an antenna signal sample set and a target signal transmission power corresponding to each antenna signal sample in the antenna signal sample set.

Wherein, the antenna signal refers to an antenna signal sent by an antenna according to a specific transmission power, and such an antenna signal may be a radio wave. The target signal transmission power corresponding to each antenna signal sample in the antenna signal sample set refers to the standard transmission power of each antenna signal sample determined in advance through a large number of manual tests in the current antenna system. If the antenna transmits according to the target signal standard transmission power, it can achieve the purpose of transmitting the signal while suppressing the interference of other antenna signals to the greatest extent.

Generally, the training data can be obtained from a preset antenna signal sample library, and the antenna signal sample library can be manually collected and selected on the Internet by a manager to form an antenna signal sample library. A certain number of antenna signal samples are selected from the antenna signal sample library to form an antenna signal sample set required for this training. In addition, the embodiment of the present application may dynamically adjust the number of antenna signal samples in the antenna signal sample set according to the training result.

In an embodiment of the present application, the antenna signal samples in the antenna signal sample set are antenna signals selected according to a predetermined signal transmission power difference at intervals. Wherein, the predetermined signal transmission power difference can be determined according to the sum of the number of antenna transmitters included in the entire antenna system and the number of antenna receivers included. That is, the more the total number, the smaller the predetermined signal transmission power difference of the interval should be; on the contrary, the smaller the total number, the greater the predetermined signal transmission power difference of the interval should be.

The advantage of this is that the predetermined signal transmission power difference at intervals can be flexibly set according to the degree of congestion of the entire antenna system link, so as to facilitate training of an antenna signal processing model that is more in line with the actual situation.

In step S220, the antenna signal samples are processed to obtain the transmit power of the antenna signal samples.

It is understandable that the transmission power of the antenna signal sample can be detected by measuring tools such as a power tester. This application does not limit the measurement tools and measurement methods.

Exemplarily, if there are 6 types of antenna signals, 100 samples of antenna signal A with a transmission power of 2 dbm, 100 samples of antenna signal B with a transmission power of 5 dbm, and 100 samples of antenna signal C with a transmission power of 9 dbm are selected, respectively. There are 100 antenna signal D samples with a power of 11 dbm, antenna signal samples E with a transmission power of 14 dbm, and antenna signals F with a transmission power of 17 dbm. The transmission power of 100 antenna signal A samples, the transmission power of 100 antenna signal B samples, the transmission power of 100 antenna signal C samples, the transmission power of 100 antenna signal D samples, and 100 antennas were measured by the power tester. The transmit power of the signal E sample, the transmit power of the 100 antenna signal F samples.

Of course, the antenna signal samples may also be processed in other ways to obtain the transmit power of the antenna signal samples, which is not limited in the embodiment of the present application.

In step S230, the transmission power of the antenna signal sample is input into a preset antenna signal processing model, and the output signal transmission power corresponding to the antenna signal sample output by the antenna signal processing model is obtained.

In an embodiment of the present application, the transmit power of the antenna signal sample may be input into a preset antenna signal processing model, and the output signal transmit power corresponding to the antenna signal sample output by the antenna signal processing model can be obtained . The antenna signal processing model includes a power identification module and a power adjustment module. The power identification module is used to identify the transmit power of the antenna signal sample, and the transmit power of the antenna signal sample is used to transmit the antenna signal sample. The power is adjusted to the output signal transmission power corresponding to each antenna signal sample.

Specifically, step S230 may include the process shown in Fig. 3:

Step S2301: Input the transmit power of the antenna signal sample into the power identification module to identify the transmit power of the antenna signal sample.

The power identification module may be any of the existing networks, such as Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), etc. Preferably, in this embodiment, a Long Short-Term Memory (LSTM) can be used as the power identification module, and the antenna signal samples and the measured transmission power are input to the LSTM network to obtain the The transmit power of the antenna signal sample.

Step S2302: Input the transmit power of the antenna signal sample into the power adjustment module to obtain the output signal transmit power corresponding to the antenna signal sample.

In an embodiment of the present application, the power adjustment module uses a particle swarm algorithm to adjust the transmit power of the antenna signal samples. The so-called particle swarm algorithm is also called particle swarm optimization (PSO), which is a stochastic optimization algorithm. The algorithm regards each individual as a particle with no weight or volume in the N-dimensional search space, and it flies at a certain speed in the search space. The core idea is to adjust the individual's spatial position and movement speed according to the fitness value of the individual (particle).

As shown in FIG. 4, in step S2302, the output signal transmission power corresponding to the antenna signal sample can be obtained according to the following steps:

Step S23021: Initialize the spatial position and movement speed of the transmit power of the antenna signal sample.

Generally, the higher the transmit power of the antenna signal sample, the farther the antenna signal sample is from the initial position of the starting point, and the faster the initial movement speed of the antenna signal sample.

In an embodiment of the present application, the spatial position and movement speed of the transmit power of the antenna signal sample may be calculated in advance. For example, there are a total of K antenna signal samples, the spatial position and movement speed of the transmit power of the kth antenna signal sample (1≤k≤K) can be initialized in the following manner: First, identify the kth antenna signal sample Transmitting power; then look up the correspondence table of preset transmit power, initial position and movement speed, and determine the initial position and movement speed corresponding to the transmit power of the k-th antenna signal sample.

The advantage of this is that the spatial position and movement speed of the transmit power of the antenna signal sample can be initialized conveniently and quickly.

Of course, a random number function can also be used to generate a random number, etc., to initialize the spatial position and movement speed of the transmit power of the antenna signal sample, which is not specifically limited in this application.

Step S23022: Calculate the fitness value of the transmit power of the antenna signal sample according to a predetermined fitness value calculation formula.

It should be noted that the signal to interference ratio (SINR, Signal to Interference Ratio) refers to the ratio of the strength of the received useful signal to the strength of the received interference signal (noise and interference); referred to as the signal to interference ratio.

In an embodiment of the present application, the predetermined fitness value calculation formula is:

Where f(x) is the fitness value _{of the current antenna signal sample, Γ l} is the signal-to-interference and noise ratio value of the current antenna signal sample, α is the preset power utility coefficient, λ is the preset power interference coefficient, and P _l is The transmit power of the current antenna signal sample.

It should be noted that both α and λ are adjustable parameters, which can be set according to actual conditions.

In an embodiment of the present application, Γ _l is the signal-to-interference-to-noise ratio value of the current antenna signal sample, which can be calculated by combining the following formulas:

y=H _l v _l x _l +n formula 2

||v _l || = 1 Formula 3

R _l ＝E{HH ^H } Formula 5

Among them, x _l represents the transmitted signal strength of the current antenna signal sample, H _l represents the channel matrix, v _l represents the transmission weight of the current antenna signal sample, n is the white Gaussian noise vector, and y represents the received signal strength of the current antenna signal sample. i represents the number of the current antenna signal samples, v _i represents the transmit weights the other antenna signal samples, u _l indicates the direction of transmitting weight value of antenna signal samples of the current, P _l is the transmission power of this antenna signal samples, R _l is the channel Covariance matrix.

Step S23023: According to the fitness value, determine the target position corresponding to the transmit power of the antenna signal sample and the target position corresponding to the transmit power of the trained antenna signal sample.

In an embodiment of the present application, the target position corresponding to the transmit power of the antenna signal sample and the target position corresponding to the transmit power of the trained antenna signal sample are combined and calculated according to the following formula:

Among them, ω is the inertia weight factor; c1, c2 are learning factors; r ₁ , r ₂ are two random functions; k is the number of iterations;

Is the velocity of the particle at the kth iteration,

Is the velocity of the particle at the k+1 iteration;

Is the position of the particle at the kth iteration,

Is the position of the particle at the k+1 iteration;

Is the target position in the historical position of the particle at the kth iteration,

It is the target position in the historical position of the entire particle swarm at the kth iteration.

Step S23024: Update the target position and movement speed of the transmit power of the antenna signal sample according to the target position corresponding to the transmit power of the antenna signal sample and the target position corresponding to the transmit power of the trained antenna signal sample.

Following the previous step, after calculating the position and movement speed of the transmission power at the k+1 iteration, search for the target position and the movement corresponding to the target position in the recorded historical position of the transmission power at the k iteration. Velocity, the recorded target position in the historical position of the entire particle swarm at the k-th iteration, and the motion velocity corresponding to the target position. Then, compare the calculated position and movement speed of the transmitted power at the k+1th iteration, the recorded target position in the historical position of the transmitted power at the kth iteration, and the movement rate corresponding to the target position, and the recorded At the kth iteration, the value relationship between the target position in the historical position of the entire particle swarm and the motion rate corresponding to the target position, the target position with the largest value among the three and the motion rate corresponding to the target position are taken as The position and movement speed of the transmit power at the k+1 iteration.

Step S23025: When the preset training termination condition is met, output the output signal transmission power corresponding to the antenna signal sample.

It should be noted that the preset training termination condition may be that the maximum number of iterations has been reached, for example, 200; it may also be that the target position in the historical position of the entire particle swarm meets the predetermined global optimal position constraint. For example, the spatial distance between the target position coordinate in the historical position of the entire particle swarm and the predetermined global optimal position coordinate is smaller than the predetermined spatial distance threshold.

Of course, the preset training termination condition can also be other conditions, which can be flexibly set according to factors such as the number of training samples, the difference in antenna sample power, etc., which are not specifically limited in the embodiment of the present application.

In an embodiment of the present application, the adjusting the model parameters of the antenna signal processing model according to the target signal transmission power and the output signal transmission power includes:

First, the net utility value of the first signal corresponding to the transmission power of the output signal and the net utility value of the second signal corresponding to the transmission power of the target signal are respectively calculated. Specifically, the net utility value of the first signal corresponding to the output signal transmission power is calculated according to the following formula:

U _l = U _effect- U _generation formula 9

U _generation = λP _l formula 11

Wherein, U _effect represents the first signal net utility value _{of the output signal transmission power corresponding to the antenna signal sample, U generation} represents the signal interference value of the output signal transmission power corresponding to the antenna signal sample, and α represents the preset The power utility coefficient, λ represents a preset power interference coefficient, P _l represents the output signal transmission power corresponding to the antenna signal sample, and Γ _l is the signal-to-interference and noise ratio value of the output signal corresponding to the antenna signal sample. In the same way, the net utility value of the second signal corresponding to the target signal transmission power can be calculated according to the above formula.

Secondly, when the absolute value of the difference between the net utility value of the first signal and the net utility value of the second signal is less than the predetermined utility difference value, the model parameters of the antenna signal processing model are adjusted.

It should be noted that the predetermined utility difference is flexibly set according to factors such as the number of training samples, the size of the difference in antenna sample power, and the like, which is not specifically limited in the embodiment of the present application.

The advantage of this is that it is convenient to verify whether the built antenna signal processing model is reasonable, whether it meets the anti-interference needs of the multi-antenna system, and whether the training results can finally converge.

In summary, the embodiment of the present application first obtains preset training data, where the training data includes an antenna signal sample set and a target signal transmission power corresponding to each antenna signal sample in the antenna signal sample set; The antenna signal sample is processed to obtain the transmit power of the antenna signal sample; then, the transmit power of the antenna signal sample is input into a preset antenna signal processing model, and the output of the antenna signal processing model is obtained The output signal transmission power corresponding to the antenna signal sample; finally, according to the target signal transmission power and the output signal transmission power, the model parameters of the antenna signal processing model are adjusted, and the antenna signal processing model is continuously executed. The transmission power of the signal sample is input into the preset antenna signal processing model step until the preset training condition is satisfied, so as to obtain the trained antenna signal processing model. The antenna signal processing model is continuously trained by using the training data, and the model parameters are continuously adjusted according to the training results, so that the antenna signal processing model that meets the training conditions can be finally obtained. Using this antenna signal processing model, it is possible to quickly and accurately determine the appropriate transmission power of the current antenna signal to be transmitted, reduce the impact of the dynamic mutual interference between the antenna signals in the entire antenna system, and enable the entire system to achieve an improved signal efficiency and Suppress the balance and steady state of signal interference, thereby improving the capacity and quality of the entire antenna system.

As shown in FIG. 5, an embodiment of an antenna signal processing method in an embodiment of the present application may include:

Step S510: Obtain an antenna signal to be transmitted.

The antenna signal to be transmitted is an antenna signal that the antenna signal sender prepares to use a certain antenna to transmit in the antenna system.

Step S520: Process the antenna signal to be transmitted to obtain the transmission power of the antenna signal to be transmitted.

It is understandable that the transmission power of the antenna signal to be transmitted can be detected by measuring tools such as a power tester. This application does not limit the measurement tools and measurement methods.

In a specific application scenario of this application, when the antenna signal sender needs to send the antenna signal to the antenna signal receiver, it cannot be determined whether the transmit power of the antenna signal to be transmitted can be clearly received by the antenna signal receiver, and at the same time It is worried that if the transmission power of the antenna signal to be transmitted is directly adjusted to a higher transmission power, it will cause interference to other antennas in the entire antenna system to transmit and receive signals, thereby affecting the capacity and quality of the entire antenna system. Therefore, the antenna signal sender can turn on the antenna signal processing mode of the antenna by clicking a specific physical button or virtual button before transmitting the antenna signal to be transmitted. In this mode, the antenna can control the antenna signal. The transmission power of the antenna signal to be transmitted is processed to obtain the output signal transmission power corresponding to the transmission power of the antenna signal to be transmitted.

Step S530: Input the transmission power of the antenna signal to be transmitted into the trained antenna signal processing model, and obtain the output signal transmission power output by the antenna signal processing model corresponding to the transmission power of the antenna signal to be transmitted .

Wherein, the antenna signal processing model is an antenna signal processing model obtained through training of any of the above-mentioned antenna signal processing model training methods.

In an embodiment of the present application, the transmission power of the antenna signal to be transmitted may be input into the antenna signal processing model, and the antenna signal processing model is used to process and output the transmission power of the antenna signal to be transmitted. The power corresponds to the transmit power of the output signal. The antenna signal processing model includes a power identification module and a power adjustment module. The power identification module is used to identify the transmission power of the antenna signal to be transmitted, and the power adjustment module is used to determine the transmission power of the antenna signal to be transmitted. The transmit power is adjusted.

The advantage of this is that it can maximize the suppression of interference from other antenna signals while ensuring the realization of the purpose of transmitting the antenna signal to be transmitted.

In an embodiment of the present application, the transmission power of the antenna signal to be transmitted is input into a trained antenna signal processing model, and the output of the antenna signal processing model is compared with the antenna signal to be transmitted. The transmit power of the output signal corresponding to the transmit power includes the following steps:

Step S610: Input the transmission power of the antenna signal to be transmitted into the power identification module to obtain the transmission power of the antenna signal to be transmitted.

The power identification module may be any of the existing networks, such as Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), etc. Preferably, in this embodiment, a Long Short-Term Memory (LSTM) can be used as the power identification module, and the antenna signal to be transmitted and the predetermined signal transmission power are input into the LSTM network to identify The predetermined signal transmission power of the antenna signal to be transmitted.

Step S620: Input the transmission power of the antenna signal to be transmitted into the power adjustment module to obtain the output signal transmission power corresponding to the antenna signal to be transmitted.

The power adjustment module is a power adjustment module trained by a particle swarm algorithm to adjust the transmission power of the antenna signal to be transmitted.

In an embodiment of the present application, step S620 is implemented according to the following steps:

It can be understood that the above steps are similar to the training process of the antenna signal model, and will not be repeated.

The advantage of this is that by applying the trained antenna signal processing model to identify and adjust the transmission power of the antenna signal to be transmitted, not only can the purpose of transmitting the antenna signal to be transmitted be achieved, but also the antenna signal to be transmitted can be weakened. The effect of transmission on signals received by other antennas.

It should be understood that the size of the sequence number of each step in the foregoing embodiment does not mean the order of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present application.

As shown in FIG. 7, it is an antenna signal processing device provided by an embodiment of the present application, and the device may include:

The obtaining module 710 is used to obtain the antenna signal to be transmitted;

The first processing unit 720 is configured to process the antenna signal to be transmitted to obtain the transmission power of the antenna signal to be transmitted;

The second processing unit 730 is configured to input the transmission power of the antenna signal to be transmitted into the trained antenna signal processing model, and obtain the output power of the antenna signal processing model corresponding to the transmission power of the antenna signal to be transmitted The output signal transmission power of the antenna signal processing model is the antenna signal processing model disclosed in the embodiment of the application.

Those skilled in the art can clearly understand that, for the convenience and conciseness of description, the specific working processes of the devices, modules, and units described above can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

Fig. 8 is a schematic block diagram of an antenna provided by an embodiment of the present invention. As shown in FIG. 8, the antenna 8 of this embodiment includes a processor 80, a memory 81, and a computer program 82 that is stored in the memory 81 and can run on the processor 80. When the processor 80 executes the computer program 82, the steps in the foregoing embodiments of the antenna signal processing method are implemented, for example, steps S510 to S530 shown in FIG. 5. Alternatively, when the processor 80 executes the computer program 82, the functions of the modules/units in the foregoing device embodiments, for example, the functions of the modules 710 to 730 shown in FIG. 7 are realized.

Exemplarily, the computer program 82 may be divided into one or more modules/units, and the one or more modules/units are stored in the memory 81 and executed by the processor 80 to complete this invention. The one or more modules/units may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program 82 in the antenna 8.

Those skilled in the art can understand that FIG. 8 is only an example of the antenna 8 and does not constitute a limitation on the antenna 8. It may include more or less components than shown in the figure, or a combination of certain components, or different components, such as The antenna 8 may also include input and output devices, network access devices, buses, and the like.

The processor 80 may be a central processing unit (Central Processing Unit, CPU), other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like.

The memory 81 may be an internal storage unit of the antenna 8, such as a hard disk or a memory of the antenna 8. The memory 81 may also be an external storage device of the antenna 8, such as a plug-in hard disk equipped on the antenna 8, a Smart Media Card (SMC), or a Secure Digital (SD) card. Flash Card, etc. Further, the memory 81 may also include both an internal storage unit of the antenna 8 and an external storage device. The memory 81 is used to store the computer program and other programs and data required by the antenna 8. The memory 81 can also be used to temporarily store data that has been output or will be output.

Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the division of the above functional units and modules is used as an example. In practical applications, the above functions can be allocated to different functional units and modules as needed. Module completion, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist alone physically, or two or more units can be integrated into one unit. The above-mentioned integrated units can be hardware-based Formal realization can also be realized in the form of software functional units. In addition, the specific names of the functional units and modules are only used to facilitate distinguishing each other, and are not used to limit the protection scope of the present application. For the specific working process of the units and modules in the foregoing system, reference may be made to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the above-mentioned embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail or recorded in an embodiment, reference may be made to related descriptions of other embodiments.

A person of ordinary skill in the art may realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered as going beyond the scope of the present invention.

In the embodiments provided by the present invention, it should be understood that the disclosed device/robot and method can be implemented in other ways. For example, the device/robot embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or Components can be combined or integrated into another system, or some features can be omitted or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

In addition, the functional units in the various embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.

If the integrated module/unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiments and methods, and can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the program is executed by the processor, it can implement the steps of the foregoing method embodiments. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file, or some intermediate forms. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory) , Random Access Memory (RAM, Random Access Memory), electrical carrier signal, telecommunications signal, and software distribution media, etc. It should be noted that the content contained in the computer-readable medium can be appropriately added or deleted according to the requirements of the legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to the legislation and patent practice, the computer-readable medium Does not include electrical carrier signals and telecommunication signals.

The above are only optional embodiments of the application, and are not used to limit the application. For those skilled in the art, this application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included in the scope of the claims of this application.

Claims

A training method of an antenna signal processing model is characterized in that it includes:

Acquiring preset training data, where the training data includes an antenna signal sample set and a target signal transmission power corresponding to each antenna signal sample in the antenna signal sample set;

Processing the antenna signal sample to obtain the transmit power of the antenna signal sample;

Input the transmit power of the antenna signal sample into a preset antenna signal processing model, and obtain the output signal transmit power corresponding to the antenna signal sample output by the antenna signal processing model;

According to the target signal transmit power and the output signal transmit power, adjust the model parameters of the antenna signal processing model, and continue to execute the input of the transmit power of the antenna signal sample into the preset antenna signal processing model Steps until the preset training conditions are met to obtain the trained antenna signal processing model.
The training method of an antenna signal processing model according to claim 1, wherein the antenna signal processing model comprises a power identification module and a power adjustment module;

The inputting the transmission power of the antenna signal sample into a preset antenna signal processing model and obtaining the output signal transmission power corresponding to the antenna signal sample output by the antenna signal processing model includes:

Input the transmit power of the antenna signal sample into the power identification module to identify the transmit power of the antenna signal sample;

The transmission power of the antenna signal sample is input to the power adjustment module to obtain the output signal transmission power corresponding to the antenna signal sample.
The training method of an antenna signal processing model according to claim 2, wherein the transmitting power of the antenna signal sample is input to the power adjustment module to obtain an output signal corresponding to the antenna signal sample. Power, including:

Initialize the spatial position and movement speed of the transmit power of the antenna signal sample;

Calculating the fitness value of the transmit power of the antenna signal sample according to a predetermined fitness value calculation formula;

Determine, according to the fitness value, a target position corresponding to the transmit power of the antenna signal sample and a target position corresponding to the transmit power of the trained antenna signal sample;

Update the target position and movement speed of the transmit power of the antenna signal sample according to the target position corresponding to the transmit power of the antenna signal sample and the target position corresponding to the transmit power of the trained antenna signal sample;

When the preset training termination condition is met, output signal transmission power corresponding to the antenna signal sample is output.
The training method of an antenna signal processing model according to claim 3, wherein the predetermined fitness value calculation formula is:

Among them, f(x) is the fitness value of each antenna signal sample, Γ l is the signal-to-interference and noise ratio value of each antenna signal sample, α is the preset power utility coefficient, λ is the preset power interference coefficient, and P l is the transmit power of each antenna signal sample.
The training method of an antenna signal processing model according to claim 3, wherein the target position corresponding to the transmission power of the antenna signal sample and the target position corresponding to the transmission power of the trained antenna signal sample , Updating the target position and movement speed of the transmit power of the antenna signal sample is updated according to the following formula:

Among them, ω is the inertia weight factor; c1, c2 are learning factors; r 1 , r 2 are two random functions; k is the number of iterations;
Is the velocity of the particle at the kth iteration,
Is the velocity of the particle at the k+1 iteration;
Is the position of the particle at the kth iteration,
Is the position of the particle at the k+1 iteration;
Is the target position in the historical position of the particle at the kth iteration,
It is the target position in the historical position of the entire particle swarm at the kth iteration.
The training method of the antenna signal processing model according to claim 1, wherein the adjusting the model parameters of the antenna signal processing model according to the target signal transmission power and the output signal transmission power comprises :

Respectively calculating the net utility value of the first signal corresponding to the transmission power of the output signal and the net utility value of the second signal corresponding to the transmission power of the target signal;

When the absolute value of the difference between the net utility value of the first signal and the net utility value of the second signal is less than the predetermined utility difference, the model parameters of the antenna signal processing model are adjusted.
An antenna signal processing method, characterized in that it comprises:

Obtain the antenna signal to be transmitted;

Processing the antenna signal to be transmitted to obtain the transmission power of the antenna signal to be transmitted;

Input the transmission power of the antenna signal to be transmitted into the trained antenna signal processing model, and obtain the output signal transmission power output by the antenna signal processing model corresponding to the transmission power of the antenna signal to be transmitted, the The antenna signal processing model is the antenna signal processing model according to any one of claims 1-6.
The antenna signal processing method according to claim 7, wherein the antenna signal processing model includes a power identification module and a power adjustment module;

Said inputting the transmission power of the antenna signal to be transmitted into a trained antenna signal processing model, and obtaining the output signal transmission power output by the antenna signal processing model corresponding to the transmission power of the antenna signal to be transmitted, include:

Input the transmission power of the antenna signal to be transmitted into the power identification module to obtain the transmission power of the antenna signal to be transmitted;

The transmission power of the antenna signal to be transmitted is input to the power adjustment module to obtain the output signal transmission power corresponding to the antenna signal to be transmitted.
8. The antenna signal processing method according to claim 8, wherein the transmitting power of the antenna signal to be transmitted is input to the power adjustment module to obtain an output signal corresponding to the antenna signal to be transmitted Transmit power, including:

Initialize the spatial position and movement speed of the transmission power of the antenna signal to be transmitted;

Calculating the fitness value of the transmit power of the antenna signal to be transmitted according to a predetermined fitness value calculation formula;

Determine, according to the fitness value, a target position corresponding to the transmission power of the antenna signal to be transmitted and a target position corresponding to the transmission power of the trained antenna signal sample;

Update the target position and movement speed of the transmission power of the antenna signal to be transmitted according to the target position corresponding to the transmission power of the antenna signal to be transmitted and the target position corresponding to the transmission power of the trained antenna signal sample;

When the preset training termination condition is met, the output signal transmission power corresponding to the transmission power of the antenna signal to be transmitted is output.
An antenna signal processing device, characterized in that it comprises:

The acquisition module is used to acquire the antenna signal to be transmitted;

The first processing unit is configured to process the antenna signal to be transmitted to obtain the transmission power of the antenna signal to be transmitted;

The second processing unit is configured to input the transmission power of the antenna signal to be transmitted into the trained antenna signal processing model, and obtain the output power of the antenna signal processing model corresponding to the transmission power of the antenna signal to be transmitted Output signal transmission power, and the antenna signal processing model is the antenna signal processing model according to any one of claims 1-6.
An antenna, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program as claimed in claims 1 to 6 The steps of any one of the methods.
A computer-readable storage medium storing a computer program, wherein the computer program implements the steps of the method according to any one of claims 1 to 6 when the computer program is executed by a processor.