Broadband radar target complex echo de-noising method based on sparseness constraints

A broadband radar and sparse-constrained technology, applied in the field of communication, can solve the problems of inaccurate signal and noise description, loss of high-frequency information, multi-information, etc., and achieve the effect of overcoming inaccuracy and improving signal-to-noise ratio

Active Publication Date: 2013-12-18
XIDIAN UNIV
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Problems solved by technology

The disadvantage of this method is that since this method uses the correlation coefficient method to denoise, the high-frequency component signal in the signal will be removed, and the high-frequency information in the signal will be lost, resulting in distortion of the denoised signal.
The disadvantage of this method is that since this method uses the orthogonal wavelet base to decompose the signal sparsely, and

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  • Broadband radar target complex echo de-noising method based on sparseness constraints
  • Broadband radar target complex echo de-noising method based on sparseness constraints
  • Broadband radar target complex echo de-noising method based on sparseness constraints

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings.

[0038] refer to figure 1 , the concrete steps of the present invention are as follows:

[0039] Step 1. Obtain the complex range image of the wideband radar target.

[0040] Obtain the complex time-domain echo of the broadband radar target, and obtain the one-dimensional complex range image of the target through pulse compression x=[x 1 ,x 2 ,...,x N ], x n Indicates the complex intensity of the nth range cell of the range image, n=1,2,...,N, N indicates the length of the complex range image of the wideband radar target.

[0041] Step 2, determine the coefficient vector and penalty factor.

[0042] Perform fast Fourier transform of N points on the complex range image x of the broadband radar target to obtain the complex spectrum Z of the complex range image of the broadband radar target, and perform the fast inverse Fourier transform of the complex spectrum at K ...

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Abstract

The invention discloses a broadband radar target complex echo de-noising method based on sparseness constraints. The method comprises the steps of (1) obtaining a target complex distance image, (2) determining a coefficient vector and a penalty factor, (3) constructing a de-noising performance evaluation function, (4) updating the coefficient vector, (5) judging whether a relative error is larger than an error threshold or not, (6) restoring the complex distance image. According to the broadband radar target complex echo de-noising method based on the sparseness constraints, by the adoption of the super-resolution Fourier base, the signal to noise ratio of broadband radar target complex echoes can be better improved, and the broadband radar target complex echo de-noising method can be used for conducting noise suppression on the radar echoes of moving objects such as airplanes and automobiles under the noise background.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a method for denoising complex echoes of wideband radar targets based on sparse constraints in the technical field of radar signal processing. The invention can be used to suppress the noise of the radar complex echoes of moving targets such as airplanes and automobiles under the background of noise. Background technique [0002] In the field of radar signal processing technology, improving the signal-to-noise ratio of the radar target echo can perform sparse decomposition on a single radar echo, and remove the corresponding component of the noise signal, so as to achieve the purpose of noise suppression. [0003] Wu Wei's patent application "Signal denoising method based on autocorrelation coefficient" (application number 201010121083.1 application publication number CN102117621A) discloses a signal denoising method based on autocorrelation coefficient. The processi...

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Application Information

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IPC IPC(8): G01S7/41
Inventor 杜兰和华王鹏辉徐丹蕾刘宏伟
Owner XIDIAN UNIV
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