Joint Optimization of Target Assignment and Resource Allocation for Multi-Target Tracking in Phased Array Radar Network

Abstract

This study proposes a joint optimization scheme of target assignment and resource allocation for multi-target tracking in phased array radar network. The key idea of the proposed scheme is to simultaneously improve the multi-target tracking accuracy and minimize the total dwell time of the phased array radar network by optimizing the target-to-radar assignment, revisit time control, bandwidth and dwell time allocation, such that both the target tracking performance and the low probability of intercept (LPI) performance of the network system can be enhanced. The closed-form expression for the predicted Bayesian Cramér-Rao lower bound (BCRLB) with target-to-radar assignment, revisit time, bandwidth and dwell time is derived, which is used to represent the tracking accuracies of multiple targets. The resulting mixed-integer, non-linear and non-convex optimization problem is subsequently solved by a developed efficient three-stage solution technique. Finally, simulation results demonstrate the advantages of the proposed scheme, in terms of the multi-target tracking accuracy and the achieved LPI performance of the underlying system.