Cooperative Node Selection and Dwell Time Allocation for Multi-Target Tracking in Multiple Radar Networks with Imperfect Detection Performance

Current researches on resource management for multi-target tracking (MTT) are mostly studied under an ideal detection environment (IDE). However, since the signal radiation attenuation and random fluctuating of target amplitudes affect target detection, the existing works under IDE are hard to be accomplished. In this paper, a cooperative node selection and dwell time allocation (CNS-DTA) strategy for MTT in multiple radar networks (MRN) with imperfect detection performance is proposed, whose purpose is to effectively minimize the total dwell time while meeting the predetermined MTT accuracy and several system resource budgets. The Bayesian Cramer-Rao lower bound (BCRLB) with imperfect detection performance is derived and used as the performance metric for MTT. Since the CNS-DTA strategy optimization problem is non-convex, a two-step methodology is proposed to solve the formulated optimization problem. Simulation results show that the proposed algorithm can effectively reduce the total dwell time consumption of MRN with different probabilities of detection.