A wall-passing radar imaging algorithm based on weighted L1 norm

Abstract

This article is mainly studied based on weighted L1 norm through-wall radar imaging algorithm. Due to the interference of the environment or the radar platform, the echo data acquired by the TWR system will be mixed with some noise, which seriously affects the imaging results. In this article, the weighted L1 norm constraint model is closer to the L0 norm constraint model through imaging comparison of the four algorithms in the case of no noise and -2dB Gaussian white noise. In other words, the quality and stability of the imaging are improved by improving the weighting function.