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

摘要

This paper proposes a modified signal pro-cessing 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 pro-posed based on the fractionally Nyquist sample spaced con-stant modulus algorithm. Compared with the conventional Nyquist sample spaced equalizer, the equalizer of the frac-tionally 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 out-performs the conventional processing structure in terms of both clutter residual and mean square error.