Joint Dwell Time and Bandwidth Optimization for Multiple- Target Tracking in Radar Network
Wei Qiu, Chenguang Shi, Jianjiang Zhou, Fei Wang · 2019
A joint dwell time and bandwidth optimization algorithm is proposed in this paper for multiple-target tracking in radar network. The Bayesian Cramer-Rao Lower Bound (BCRLB) is utilized to be the accuracy metric for target tracking. The primary objective of this algorithm is to improve the low probability of intercept (LPI) performance of radar network by jointly optimizing the dwell time and transmission bandwidth of each radar, which is constrained by a predefined BCRLB requirement for target tracking. The simulation results show that the proposed algorithm can effectively reduce the total dwell time consumption and achieve a better LPI performance in radar network.