Path Optimization Method of Distributed Radar System with Moving Platform for Cooperative Target Tracking

Aiming at path optimization problem of distributed radar system with moving platform for target tracking, a novel a novel cooperative tracking path optimization algorithm based on Fisher information matrix for distributed radar system is proposed. Firstly, this paper establishes the cooperative tracking target model of the distributed radar system of the moving platform, and then derives the closed form of Fisher information based on Bayesian theory. Then the path planning cost function is established by using D optimal criterion. Finally, an efficient method based on steepest descent is proposed to solve the optimization problem. In addition, this paper also studies the path optimization problem of constrained distributed radar system with moving platform. A penalty function is introduced to modify the cost function for threats avoidance and physics constraints are applied to limit directions of moving platform. The numerical simulation results verify the accuracy and validity of the derived closed-cost function, and the proposed path optimization method of distributed radar system with moving platform can effectively track fixed and moving targets in real time; moreover, compared to grid based search method, the computational complexity of the proposed method is reduced by several orders of magnitude.