access icon free Fractionally Nyquist Sample Spaced ARMA Blind Equalizer for Direct Signal Recovery in Passive Bistatic Radar

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.

Inspec keywords: blind equalisers; passive radar; autoregressive moving average processes; radar signal processing; radar clutter; signal sampling

Other keywords: deep fading multipath channel; passive bistatic radar; modified signal processing structure; mean square error method; direct signal recovery; fractionally Nyquist sample spaced ARMA blind equalizer; fractionally Nyquist sample spaced constant modulus algorithm; autoregressive moving average type; multipath clutter

Subjects: Communication channel equalisation and identification; Signal processing and detection; Radar equipment, systems and applications; Other topics in statistics

http://iet.metastore.ingenta.com/content/journals/10.1049/cje.2017.01.010
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