Mainlobe interference cancellation based on PCA + ECA in passive bistatic radar

The mainlobe interference is a noticeable issue in the passive bistatic radar. As the direction of arrival (DOA) of the interference is close to the DOA of the target echo, the interference hardly be cancelled by the adaptive spatial filtering. After clutter cancellation, the authors assume the main...

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Bibliographic Details
Published in:Journal of engineering (Stevenage, England) England), 2019-10, Vol.2019 (20), p.6971-6974
Main Authors: Gao, Bo, Guo, Shuai, Wang, Jue, Wang, Jun, Lou, Baofang, Yan, Yifei
Format: Article
Language:English
Subjects:
adaptive filters
array element signal
array signal processing
clutter cancellation
direction-of-arrival estimation
extensive cancellation algorithm
extracted interference component
IET International Radar Conference (IRC 2018)
interference suppression
mainlobe interference cancellation
passive bistatic radar
passive radar
PCA‐ECA
principal component analysis
radar clutter
radar interference
radar signal processing
signal denoising
spatial filters
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Summary:The mainlobe interference is a noticeable issue in the passive bistatic radar. As the direction of arrival (DOA) of the interference is close to the DOA of the target echo, the interference hardly be cancelled by the adaptive spatial filtering. After clutter cancellation, the authors assume the mainlobe interference is the principal component of the array element signal. This study proposes the method based on the principal component analysis (PCA) and the extensive cancellation algorithm (ECA) to cancel the mainlobe interference in the echoes. The PCA is applied to extract the interference component from the array element signals, and the ECA is applied to cancel the interference with the extracted interference component as the reference. Finally, the simulation result proves the feasibility of the method proposed by this paper.
ISSN:2051-3305
2051-3305
DOI:10.1049/joe.2019.0585