Sub-Nyquist Sampling Jamming against Wideband LFM Radar with CS-based Matched Filtering

被引：0
|
作者：
Gu, Zhao-Yu [1 ]
Pan, Xiao-Yi [1 ]
Fu, Qi-Xiang [1 ]
Wang, Wei [1 ]
Wang, Guo-Yu [1 ]
机构：
[1] Natl Univ Def Technol, State Key Lab Complex Electromagnet Environm Effe, Changsha 410073, Hunan, Peoples R China
来源：
2016 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM (PIERS) | 2016年
基金：
中国国家自然科学基金;
关键词：
RECONSTRUCTION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Compressed sensing (CS) is potential in exact reconstruction of an unknown sparse signal from very limited measurements with very high probability by solving a convex l(1) optimization problem. In this paper, sub-Nyquist sampling jamming against wideband linear frequency modulated (LFM) radar is addressed, where the CS-based algorithm is applied to achieve the range compression via matched filtering (MF). The results show that the sub-Nyquist sampled jamming signals, formed by the under-sampled radar signals in scatter-wave jamming configuration, provide a capability of deception jamming. Hence, sub-Nyquist sampling jamming can generate active decoys in radar countermeasures. Simulated trials are used to verify the correctness of the jamming idea.
引用
收藏
页码：2995 / 3001
页数：7
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