Signal Fusion for Multi-target on Distributed MIMO Radar System

Distributed MIMO radar system configured with the DTFR (defocused transmit-focused receive) mode can detect and track multiple targets. Due to the non-consistency of the received beams' direction, the system working in TWS (track while scan) mode is faced with the problem of targets' signal matching between different stations, it's difficult to accumulate multi-station's signal effectively. This paper proposes a novel multi-station signal association and fusion technique for multi-target based on sequential Bayesian algorithm that can associate multi-station's signal from different scanning-beams, and further more implement multistation signal fusion to achieve spatial diversity gain. Performance results with real data obtained from an experimental radar system demonstrate the practical effectiveness of the proposed method.