Joint Cluster and Power Allocation Algorithm for Multiple Targets Tracking in Multistatic Radar Systems

This paper proposes a joint cluster and power allocation algorithm for multiple targets tracking in multistatic radar system. By selecting an optimal subset of radars with predetermined size to cluster around each target and implementing the power allocation strategy among those selected radars, this algorithm can achieves better performance under the resource constraints. Firstly, the Bayesian Cramer Rao Lower Bound (BCRLB) is derived. Then, a criterion minimizing the total BCRLB on the mean square error in multiple targets tracking is derived, and the corresponding optimization problem with two independent vectors is solved by cyclic minimization algorithm incorporating gradient projection method. Finally, the validity of the proposed method is demonstrated with the simulation results.