Dwell Time Allocation in a PAR Network for Maneuvering Target Tracking under Clutter Environment

Resource allocation and detection threshold adaption are critical to unlocking the full potential of Phased Array Radar (PAR) network for maneuvering target tracking under clutter environment. A Dwell Time Allocation (DTA) incorporating Interacting Multiple Model-Bayesian Detector (IMM-BD) is proposed in this background. The IMM-BD is derived to tune detection thresholds. The information reduction factor influenced by IMM-BD is calculated, which is then embedded in the derived posterior Cramér-Rao lower bound in IMM framework. The DTA optimization model is formulated as minimizing the sum of weighted predicted PCRLBs under dwell time budget of each PAR. It is shown that the optimization model is nonconvex. The modified gradient projection method is proposed for solution. Simulation results confirm the effectiveness and efficiency of proposed strategy in terms of lower tracking errors and lower track loss ratios, compared with state-of-the-art algorithms.