Realization Method of Adaptive Signal Processing Based on Gaussian Elimination

An adaptive signal, Gaussian elimination technology, applied in radio wave measurement systems, instruments, etc., can solve the problems of large computational load, long time consumption, affecting the realization efficiency of adaptive signal processing algorithms, etc., to improve efficiency and reduce computational load. Effect

Active Publication Date: 2022-04-26
CHINA ELECTRONICS TECH GRP CORP NO 14 RES INST
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Problems solved by technology

[0003] However, the existing technology usually adopts the strategy of directly calculating the inverse matrix of the autocorrelation matrix. This method of calculating the inverse matrix has a large amount of calculation and takes a long time, which seriously affects the implementation efficiency of adaptive signal processing algorithms such as ADBF and STAP.

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  • Realization Method of Adaptive Signal Processing Based on Gaussian Elimination
  • Realization Method of Adaptive Signal Processing Based on Gaussian Elimination
  • Realization Method of Adaptive Signal Processing Based on Gaussian Elimination

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[0037] In order to better understand the above-mentioned purpose, features and advantages of the present application, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0038] In the following description, a lot of specific details are set forth in order to fully understand the application, however, the application can also be implemented in other ways different from those described here, therefore, the protection scope of the application is not limited by the following disclosure Limitations of specific embodiments.

[0039] Such as figure 1 As shown, this embodiment provides an implementation method of adaptive signal processing based on Gaussian elimination, including:

[0040] Step 1, obtain the echo signals of M channels...

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Abstract

This application discloses an implementation method of adaptive signal processing based on Gaussian elimination, including: generating a corresponding echo vector according to the echo signal; calculating the autocorrelation matrix of the echo vector, and using the Gaussian elimination method to calculate the generalized inner product value, and screen the echo vectors according to the generalized inner product value to generate a screening vector, calculate the autocorrelation matrix of the screening vector, and then use the Gaussian elimination method to calculate the weighting coefficient; carry out weighted summation on the echo vectors, The weighted summation result of the range gate is used for constant false alarm rate detection. When the signal-to-noise ratio of the range gate is determined to be greater than the first preset threshold, the Gaussian elimination method is used to calculate the adaptive correlation estimation value of the echo signal; when the echo When the adaptive correlation estimation value of the signal is greater than the second preset threshold, it is determined that the target corresponding to the range gate exists. Through the technical solution in this application, the process of calculating the inverse matrix is ​​avoided through the Gaussian elimination method, thereby improving the efficiency of realizing the adaptive signal processing algorithm.

Description

technical field [0001] The present application relates to the technical field of radar signal processing, in particular, to an implementation method of adaptive signal processing based on Gaussian elimination. Background technique [0002] Since there may be interference in the working environment, the radar system will receive the interference signal and the target echo signal at the same time, so it is necessary to suppress the interference signal and distinguish the authenticity of the target, usually using Adaptive Digital Beamforming (Adaptive Digital Beamforming) , ADBF), Space-Time Adaptive Processing (Space-Time Adaptive Processing, STAP) and other adaptive signal processing algorithms to process the echo signal, among them, calculate the generalized inner product value (Generalized Inner-Product, GIP), the optimal weighting coefficient And adaptive correlation estimation (Adaptive Coherent Estimation, ACE) is the core content of this kind of algorithm. [0003] How...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/36G01S7/41
CPCG01S7/36G01S7/41
Inventor 颜志升郑昱
Owner CHINA ELECTRONICS TECH GRP CORP NO 14 RES INST
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