Noise radar range doppler imaging via 2D generalized smoothed-<i>l</i>0

作     者：Lu, Xingyu Gu, Hong Su, Weimin 

作者机构：Nanjing Univ Sci & Technol Sch Elect & Opt Engn 200 Xiaolingwei St Nanjing Peoples R China 

出 版 物：《ELECTRONICS LETTERS》 (电子学快报)

年 卷 期：2021年第57卷第11期

页      面：448-450页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：National Natural Science Foundation of China [61671246, 61801221, 62001229] China Postdoctoral Science Foundation [2020M681604] 

主　　题：Optical, image and video signal processing Filtering methods in signal processing Radar theory Radar equipment, systems and applications 

摘      要：This paper presents an algorithm to enhance the range-Doppler imaging performance for noise radar. Traditional matched filtering based method suffers from high range and Doppler sidelobes, which makes the weak targets overwhelmed by the sidelobes of strong targets or clutters in the range-Doppler map. Sparse recovery based methods have been widely used to suppress such sidelobes, but most of them assume a repetitive transmit waveform, which cannot be applied to noise radar applications. In this letter, the range-Doppler imaging problem for noise radar is formulated as a sparse recovery model and solved by a 2D generalized smoothed-l(0) algorithm. The proposed method can deal with the random waveforms varying among different pulses in noise radar. The robustness of the proposed method in strong noise and clutters is validated by simulation results.