An imaging method and system based on through-wall radar clutter suppression

Abstract

The invention relates to an imaging method and system based on clutter suppression of through-wall radar, comprising: acquiring an original echo signal received by a through-wall radar; performing imaging processing on the original echo signal to determine an original image; The image determines the discrete coefficient of the pixel vector of the original image; sorts the pixel vector of the original image according to the discrete coefficient to obtain the sorted pixel vector; determines the step length according to the original image; The pixel elimination ratio is determined by the input length; the first elimination ratio is determined by using the sorted pixel vector and the pixel elimination ratio; the second elimination ratio is determined according to the first elimination ratio and the pixel elimination ratio; according to the second elimination ratio The pixel value corresponding to the ratio is reproduced to obtain the imaging result. The method and system provided by the present invention improve the imaging quality by improving the suppression effect of clutter and background pixel vector.

Description

technical field [0001] The invention relates to the field of clutter suppression, in particular to an imaging method and system based on through-wall radar clutter suppression. Background technique [0002] Different from other radars in free space, through-the-wall radar (TWIR) needs to detect and image the target behind the wall. In addition to the noise signal, the amplitude of the main clutter signal caused by the primary reflection of the wall is much larger than that of the target signal, occupying the dominant position in the image; while the residual clutter of the wall after multiple reflections is often the same as the target signal in the time domain. Overlapping, making the target image more blurred. Effective suppression of wall clutter is an important prerequisite for TWIR to accurately image targets behind walls. [0003] Common clutter suppression algorithms mostly start from the echo domain and directly separate the target signal from the echo signal. How...

AI Technical Summary

Problems solved by technology

However, this type of algorithm can only filter out most of the clutter, and there are still residual clutter near the target in the imaging

Therefore, the image signal-to-noise ratio and the accuracy of target imaging are relatively low

Images