Co‐frequency Interference Suppression for Aerostat Passive Bistatic Radar. Issue 3 (1st May 2018)

• Record Type: Journal Article
• Authors: Wang, Feng; Wei, Shuang; Jiang, Defu
• Is Part Of: Chinese journal of electronics. Volume 27:Issue 3(2018)
• Page Start: 658
• Page End: 666
• Publication Date: 2018-05-01
• Subjects: Aerostat radar -- Passive bistatic radar -- Blind source separation -- Clutter suppression; adaptive filters -- blind source separation -- FM radar -- frequency‐domain analysis -- independent component analysis -- interference suppression -- object detection -- passive radar -- radar detection -- radar transmitters -- radiofrequency interference -- time‐frequency analysis; separated direct signals -- interference broadcasting signals -- fast temporal domain -- ‐frequency interference suppression -- aerostat passive bistatic radar -- Co‐frequency interference -- frequency modulated broadcasting signals -- independent component analysis -- ICA -- classic Blind source separation algorithms -- direct signal -- frequency domain BSS -- time‐frequency domain -- coarse reference signal -- interferences -- clutters; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2017.08.017
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : 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.