A Parametric Detection Algorithm based on Uniform Space-Time Scan and Clutter Rank

Abstract

Compared with airborne monostatic radar, airborne bistatic radar has better detection performance in detecting stealth targets and low altitude targets. However, the bistatic clutter echoes are heavily dependent on the range, which leads to the substantial reduction in available target-free training data. As a result, the detection performances corresponding to most of conventional methods decline seriously. In order to improve the detection performance of parametric adaptive matched filter used in airborne bistatic radar, the parametric adaptive matched filter based on uniform space-time scan and clutter rank (STS-CR-PAMF) is proposed in this paper. In order to efficiently obtain the estimated coefficient matrices, conjugate gradient method is utilized in STS-CR-PAMF. In simulation results, it is shown that the detection performance of STS-CR-PAMF outperforms its counterparts. Meanwhile, the relationships between the clutter rank and transmitter-receiver range, the velocities of transmitter and receiver are shown in simulation results and analyzed qualitatively.