Open AccessMainlobe interference cancellation based on PCA + ECA in passive bistatic radar
Author(s) -
Gao Bo,
Guo Shuai,
Wang Jue,
Wang Jun,
Lou Baofang,
Yan Yifei
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0585
Subject(s) - interference (communication) , clutter , single antenna interference cancellation , computer science , bistatic radar , passive radar , radar , direction of arrival , acoustics , electronic engineering , telecommunications , speech recognition , physics , engineering , radar imaging , antenna (radio) , channel (broadcasting) , decoding methods
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.