Interference State Estimation Based Weight Setting for Multichannel Joint Detection

Abstract

Faced with the low signal-to-noise ratio (SNR) and the presence of time-varying interference in passive radar target detection, multi-channel joint detection is considered as an effective solution, performance of which largely depends on the accurate weight setting in fusion of multichannel detection results. Our previous work focuses on the weight setting based on exact interference power detection, which is complex in general. We then propose to set a weight based on interference state estimation over each frequency channel in this paper. We model the interference state by time series and conditioned probability, and develop an effective interference state estimation method. Numerical simulation results verify the performance of the proposed strategy.