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

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...

AI Technical Summary

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 the wavelet base is not suitable for the scattering point model of the broadband radar target, the description of the signal and noise in the radar echo is not accurate enough. Moreover, if the signal is sparsely represented by an orthogonal basis, more signal components will be projected onto small wavelet coefficients, and more information will be lost, which will affect its performance on radar echo denoising.

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