Broadband radar target reecho denoising method based on Bayes compressed sensing

A Bayesian compression, wideband radar technology, applied in the field of signal processing, can solve problems such as large amount of calculation, large reconstruction error, deformation, etc., to achieve good real-time performance, good robustness, and improve the effect of signal-to-noise ratio.

Inactive Publication Date: 2015-04-15
XIDIAN UNIV
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Problems solved by technology

This method has the following disadvantages: Since this method uses continuous multiple radar complex echoes for bispectrum estimation, multiple estimation samples are required, it is difficult to meet the real-time requirements, and the calculated bispectrum needs to be deformed , a large amount of calculation
This method has the following disadvantages: the wavelet base is not suitable for the scattering point model of the broadband radar target. Echo denoising performance
In this method, the noise power is used as the threshold value, and the change of the noise power has a great influence on the reconstruction error.

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  • Broadband radar target reecho denoising method based on Bayes compressed sensing

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specific Embodiment approach

[0032] refer to figure 1 , the specific embodiments of the present invention are as follows:

[0033] Step 1: Obtain a single complex range image of the broadband radar target.

[0034] Obtain a single complex time domain echo of the broadband radar target, and perform pulse compression on the complex time domain echo to obtain the one-dimensional complex range image of the broadband radar target x=[x 1 ,…,x m ,…,x N ], x m Represents the complex intensity of the mth distance unit of the complex range image, m=1,2,...,N, N represents the length of the complex range image;

[0035] The complex spectrum t=fft(x) is obtained by performing the fast Fourier transform on the single complex range image x of the wideband radar target, where fft(·) represents the fast Fourier transform of the signal.

[0036] Step 2, initialize the noise variance.

[0037] After the radar is turned on, obtain the broadband radar complex echo without target, and perform pulse compression on the co...

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Abstract

The invention discloses a broadband radar target reecho denoising method based on Bayes compressed sensing, and mainly aims to solve the problems that in the prior art a broadband radar target is not precisely described, the reconstruction error is relatively largely influenced by noise priori, and the real-time property is not achieved. The method comprises the following steps: (1) acquiring single-time repeated range image; (2) estimating noise power according to the single-time repeated range image, and initializing noise variance by using the noise power; (3) initializing basis vectors and hyper-parameters, and calculating the average value of covariance sums; (4) selecting basis vectors and updating the hyper-parameters from a super-resolution basis matrix to update covariance, average values and noise variance; (5) recovering the single-time repeated range image by using the super-resolution basis matrix and the average values. By adoption of the method, the stability of signal to noise ratio and the reconstruction error of the broadband radar target reecho to noise prior is improved, the real-time property requirement is met, and radar echo of moving targets such as planes and automobiles are subjected to noise inhibition under the noise background.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and further relates to a method for denoising a radar target complex echo of a radar signal, which can be used for noise suppression of the complex echo of moving targets such as cars and airplanes under noise background. Background technique [0002] In the field of radar signal processing technology, there are two main methods to improve the signal-to-noise ratio of radar target complex echoes: one is to suppress noise by coherently accumulating radar complex echoes. The complex echoes are coherently stacked and averaged, but the complex range image has the problem of initial phase sensitivity, so it is difficult to achieve coherent accumulation, and the method of coherent accumulation to suppress noise requires multiple samples, which is difficult to meet the real-time requirements; another The class method is to sparsely decompose the single radar complex echo to achieve the purpose...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/023
Inventor 杜兰潘晓燕和华徐丹蕾
Owner XIDIAN UNIV
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