DocumentCode :
730580
Title :
Transient interference suppression via structured low-rank matrix decomposition
Author :
Mao Li ; Zhu He
Author_Institution :
EE Dept., Univ. of Electron. Sci. & Tech. of China, Chengdu, China
fYear :
2015
fDate :
19-24 April 2015
Firstpage :
3746
Lastpage :
3750
Abstract :
Transient interference can dramatically degrade the performance of over-the-horizon radar (OTHR). A novel transient interference suppression method based on structured low-rank matrix decomposition is proposed in this paper. Unlike most of the traditional interference suppression methods which need three steps: detect interferences, excise corrupted data and reconstruct excised data, the proposed method formulates the interference suppression as a Hankel matrix decomposition problem and suppress the interference via a single process of optimization. In addition, the proposed algorithm can suppress not only the interferences including the weak and strong ones, but also the noise. Simulation and experimental results have demonstrated the effectiveness of the proposed method.
Keywords :
interference suppression; matrix decomposition; radar signal processing; Hankel matrix decomposition problem; OTHR; novel transient interference suppression method; optimization; over-the-horizon radar; structured low-rank matrix decomposition; Interference suppression; Matrix decomposition; low-rank matix decomposition; over-the-horizon radar (OTHR); transient interference suppression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
Type :
conf
DOI :
10.1109/ICASSP.2015.7178671
Filename :
7178671
Link To Document :
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