Underdetermined blind separation of MIMO radar signals based on sparse reconstruction

被引：0
|
作者：
Ruan, Guoqing [1 ]
Xu, Jian [1 ]
Wang, Shuangling [1 ]
Wu, Wei [1 ]
机构：
[1] 28th Res Inst CETC, Sci & Technol Informat Syst Engn Lab, Nanjing 210007, Peoples R China
来源：
2020 INTERNATIONAL CONFERENCE ON IMAGE, VIDEO PROCESSING AND ARTIFICIAL INTELLIGENCE | 2020年 / 11584卷
关键词：
Sparse reconstruction; MIMO radar; Underdetermined blind separation;
D O I：
10.1117/12.2579652
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to solve the problem of MIMO radar underdetermined blind separation under the condition of overlapping in time domain, frequency domain and time-frequency domain, a blind separation algorithm based on sparse smooth reconstruction and ridge estimation is proposed. Firstly, underdetermined blind signal separation is simplified to signal reconstruction with known mixed matrix. Secondly, using the time-frequency sparsity of MIMO radar signal, a time-frequency smooth sparse reconstruction algorithm is proposed, and the time-frequency information is modified by the ridge estimation method. Finally, the time-frequency source signal is recovered by inverse transformation. The algorithm can reconstruct the coding information of source signal and radar signal at the same time, which provides a new way to solve the problem of radar signal separation in complex electromagnetic environment.
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页数：6
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