Fractionally Nyquist Sample Spaced ARMA Blind Equalizer for Direct Signal Recovery in Passive Bistatic Radar. Issue 3 (1st May 2017)

• Record Type: Journal Article
• Authors: Wang, Feng; Shen, Wei; Jiang, Defu; Wei, Shuang
• Is Part Of: Chinese journal of electronics. Volume 26:Issue 3(2017)
• Page Start: 658
• Page End: 666
• Publication Date: 2017-05-01
• Subjects: Passive bistatic radar -- Constant modulus algorithm -- Direct signal recovery -- Multipath clutter cancellation -- Fractionally spaced equalizer; autoregressive moving average processes -- blind equalisers -- passive radar -- radar clutter -- radar signal processing -- signal sampling; fractionally Nyquist sample spaced ARMA blind equalizer -- direct signal recovery -- passive bistatic radar -- modified signal processing structure -- multipath clutter -- autoregressive moving average type -- fractionally Nyquist sample spaced constant modulus algorithm -- deep fading multipath channel -- mean square error method; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2017.01.010
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : This paper proposes a modified signal processing structure based on the fractionally Nyquist sample spaced structure for passive bistatic radar. To recover the direct signal from the multipath clutter, an equalizer of the Auto regressive moving average (ARMA) type is proposed based on the fractionally Nyquist sample spaced constant modulus algorithm. Compared with the conventional Nyquist sample spaced equalizer, the equalizer of the fractionally Nyquist sample spaced ARMA structure is more effective in dealing with deep fading multipath channels with zeros near the unit circle. Computer simulations and real data tests indicate that the proposed approach outperforms the conventional processing structure in terms of both clutter residual and mean square error.