Integration of Detection with JPDAF for Multi-Target Tracking
Wang Yun-q · Radar Science and Technology · 2014
Target detection and tracking in conventional radar signal processing are treated separately,namely detection before tracking(DBT).When the signal to noise ratio is low,the tracking algorithm will not work because of too many false alarms and missed alarms in the detection.In view of this problem,the method of coupling detection and tracking is studied,and an integration of Bayesian detection with JPDAF(JPDAF-BD)algorithm is proposed.JPDA filter provides the posterior distribution of the target's location to the detector,then the Bayesian detector utilizes the feed-back as prior information.Simulation results show that the proposed JPDAF-BD can detect and track multi-target successfully in lower SNR in comparison with the traditional multi-target tracking algorithm(JPDAF-NP),which obtains considerable performance improvement.