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Co‐frequency Interference Suppression for Aerostat Passive Bistatic Radar
Author(s) -
Wang Feng,
Wei Shuang,
Jiang Defu
Publication year - 2018
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2017.08.017
Subject(s) - computer science , frequency domain , interference (communication) , bistatic radar , signal (programming language) , passive radar , blind signal separation , permutation (music) , radar , electronic engineering , algorithm , acoustics , telecommunications , physics , radar imaging , computer vision , engineering , channel (broadcasting) , programming language
Co‐frequency interference is frequently encountered in the aerostat passive bistatic radar exploiting frequency modulated broadcasting signals. Independent component analysis (ICA) in frequency domain, one of the classic Blind source separation (BSS) algorithms, is utilized to recover the direct signal in the above scenarios. To solve the permutation problem of the frequency domain BSS, we use the method of correlation in time‐frequency domain between the output of ICA and the coarse reference signal achieved by pattern synthesis with nulls in the direction of the interference or reference stations. In order to suppress the interferences and clutters, the separated direct signals of the reference and interference broadcasting signals are fed into a type of two dimensional adaptive filters in space and fast temporal domain. The processing scheme shows good performance in target detection, which is validated by computer simulation.

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