An Adaptive Fusion Algorithm for Multistatic and Multichannel Passive Radar Detection

Passive bistatic radar is of great interest in both civilian and military applications due to its numerous advantages. However, it also faces a great challenge of detecting weak echo signals. In this paper, a multistatic and multichannel passive radar detection system is constructed, which uses digital video broadcast-satellite as illuminator of opportunity. Furthermore, an adaptive fusion combination framework for moving target detection is then proposed, which exploits the optimization criterion of the normal deflection coefficient to optimize the weight that is designed for test statistics obtained in each individual static, and then yields the global decision through weighted fusion of the all detection statistics. Simulation results illustrate that the proposed algorithm outperforms exiting works under time-varying interference.