  In this paper, an effective target detection and localization method is
proposed for a passive bistatic radar (PBR) system. The PBR system consists of
a commercial FM radio station, which is a non-cooperative illuminator of
opportunity (IO), referred to as the transmitter antenna and multiple
surveillance antennas that form an antenna array, e.g., uniform linear array
(ULA). Unlike other literatures where the reference signal is received by a
directional antenna, here, the reference signal (direct path) is estimated by
beamforming method. Then a modified extensive cancellation algorithm (MECA)
based on (least squares) LS method is proposed to solve the disturbance
cancellation. After cancelling the disturbance, the matched filter (MF) and LS
methods are used for range-Doppler estimation of targets, and then the angles
of targets are estimated based on beamforming method. The proposed method is
suitable for an antenna array. Simulation results are presented to illustrate
the superiority of the proposed MECA disturbance cancellation method and
parameter estimation method.
