Imaging method and system based on clutter suppression of through-the-wall radar

Abstract

The invention relates to an imaging method and system based on clutter suppression of a through-the-wall radar. The imaging method comprises the following steps: acquiring an original echo signal received by the through-the-wall radar; performing imaging processing on the original echo signal to determine an original image; determining a discrete coefficient of a pixel vector of the original image according to the original image; sorting the pixel vectors of the original image according to the discrete coefficient to obtain the sorted pixel vectors; determining a stepping length according to the original image; determining a pixel elimination proportion according to the stepping length; determining a first elimination proportion by using the sorted pixel vectors and the pixel elimination proportion; determining a second elimination proportion according to the first elimination proportion and the pixel elimination proportion; and performing reproduction according to the pixel value corresponding to the second elimination proportion to obtain an imaging result. According to the method and the system provided by the invention, the imaging quality is improved by improving the clutter and background pixel vector suppression effect.

Description

Technical field [0001] The present invention relates to the field of clutter suppressance, and more particularly to imaging methods and systems based on wearing radar clutter suppression. Background technique [0002] Different from other radars in free space, Through-the-Wall Radar, TWIR requires detection of the objects behind the wall. In addition to the noise signal, the amplitude of the primary wave signal caused by the first reflection of the wall is far greater than the target signal, occupying the dominant position in the image; and the wall residual clutter after multiple reflection is often used in time domain. Overlapping, making the target imaging more blurred. Effective inhibition of wall clutter is an important prerequisite for TWIR to accurately imaging after the wall. [0003] Common clutter suppressing algorithms are recorded from the return wave domain, and the target signal is separated directly in the echo signal. However, such algorithms tend to filter most o...

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

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