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