Radar system performance index dynamic evaluation method based on Bayesian machine learning

A radar system and machine learning technology, applied to radio wave measurement systems, instruments, random CAD, etc., to achieve the effect of reducing experiment cost, reducing the number of trials, improving usability and robustness

Pending Publication Date: 2021-01-01
CIVIL AVIATION UNIV OF CHINA
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Problems solved by technology

[0005] To sum up, how to use the existing radar system performance index evaluation method and Bayesian learning method to improve the index dynamic evaluation method to make the evaluation performance of the radar system better is also a new challenge

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  • Radar system performance index dynamic evaluation method based on Bayesian machine learning
  • Radar system performance index dynamic evaluation method based on Bayesian machine learning
  • Radar system performance index dynamic evaluation method based on Bayesian machine learning

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Embodiment Construction

[0024] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the following embodiments in no way limit the present invention.

[0025] Such as figure 1 As shown, the radar system performance index dynamic evaluation method based on Bayesian machine learning provided by the present invention includes the following steps carried out in order:

[0026] Step 1, combining the characteristics of radar detection background noise and received echo complex data, the likelihood function p(Y|X) of radar target detection data is modeled as a Gaussian distribution;

[0027] Usually, the radar echo signal model is:

[0028] Y=EAX+C+N (1)

[0029] Among them, Y represents the received radar target detection data, E represents the time-varying error in the azimuth, A represents the dictionary formed by the Fourier transform of the azimuth, X represents the performance index of the target to be evaluated, C represent...

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Abstract

The invention discloses a radar system performance index dynamic evaluation method based on Bayesian machine learning. The method comprises the following steps: modeling a likelihood function of radartarget detection data into Gaussian distribution; modeling the prior distribution of the target performance index to be evaluated into Laplace distribution; performing hierarchical modeling on the target to-be-evaluated performance index by utilizing the Bayesian hierarchical probability model; and performing approximate solution on the posterior distribution of the to-be-evaluated performance indexes of each target by using a variational Bayesian expectation maximization method, thereby obtaining a posterior probability density function and the like. The Bayesian machine learning method is adopted to realize the dynamic evaluation of the radar performance indexes, the biggest advantage is that under the model assumption condition, the analyzed dynamic indication result can be obtained only by observing the data once, the test frequency can be obviously reduced, the test cost and period are reduced, the analyzed index dynamic change range is provided, and the availability and the robustness are obviously improved. Therefore, the applicability for the dynamic evaluation of the radar system performance indexes is good.

Description

technical field [0001] The invention belongs to the technical field of radar performance index evaluation, in particular to a radar system performance index dynamic evaluation method based on Bayesian machine learning. Background technique [0002] At present, most of the performance evaluation methods for radar systems are based on static index measurement. This type of method is to determine the value of the radar system performance index to be evaluated under fixed target characteristics and environmental variables. At this time, only fixed values ​​can be used The size reflects the pros and cons of performance, so the indication is limited and there are limitations in practical applications. [0003] Then people use the Monte Carlo (MC) pseudo-dynamic evaluation method to evaluate the performance of the radar system. The specific process is based on the theorem of large numbers and is calculated by repeated experiments that randomly select the signal-to-interference-to-n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G01S7/40G06F111/08
CPCG06F30/27G01S7/40G06F2111/08
Inventor 杨磊毛欣瑶张海杨晓炜杨菲孙麟
Owner CIVIL AVIATION UNIV OF CHINA
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