Power allocation scheme for target tracking in clutter with multiple radar system

In this paper, a power allocation (PA) scheme is developed for target tracking in clutter using multiple radar system (MRS). The key idea of the PA scheme is to maximize the tracking performance in clutter for a predetermined power budget of the MRS. We use the Bayesian Cramér-Rao lower bound as the criterion, and formulate the PA scheme as a mathematical optimization problem. We analytically show that this optimization problem is nonconvex, and adopt a spectral projected gradient algorithm to obtain a constrained stationary solution to this problem. Simulation results demonstrate that the PA process can evidently expand the detection range, increase the resource utilization efficiency of the MRS, and improve the target tracking accuracy with a given power budget.