A joint resource allocation method for multiple targets tracking in distributed MIMO radar systems

Abstract

In order to simultaneously improve system performance and resource utilization of distributed multiple-input multiple-output (MIMO) radar systems, a joint resource allocation method is proposed to address the velocity estimation problem for multiple targets tracking in this paper. The paper focuses to improve the tracking performance for key targets using the remaining resources when the general targets have obtained resources to reach to tracking requirements. Firstly, a criterion minimizing the velocity estimation mean square error (MSE) for a key target is considered. Restricted by limited and relatively sufficient system resources and given velocity estimation requirements for general targets, a joint resource allocation optimization model with transmitters, receivers, transmitted power, and signal time is established. We propose a suboptimal method to approximately solve this problem. The method separates the optimization into three steps, where each step transforms the corresponding mixed-Boolean optimization problem into a second-order cone programming (SOCP) problem by convex relaxation. Finally, the approximately optimal solution can be obtained by cyclic minimization method. Extensive simulations indicate that compared with other methods, the proposed joint method can achieve the lowest velocity estimation MSE with the fewest transmitters. Meanwhile, limited by the given velocity estimation MSE, the proposed method can focus on the key target and achieve the whole velocity estimation error minimization while a greater flexibility for target tracking number can be obtained. Moreover, random experiments can further validate and evaluate the proposed method's effectiveness and traceability with the given scenario.

Joint Power allocation and target detection in distributed MIMO radars

“…Substituting Equation (29) in Equation ( 30), the optimisation problem in Equation ( 30) is rewritten as:…”

PSO‐optimized Pareto and Nash equilibrium gaming‐based power allocation technique for multistatic radar network

“…Song and others [18] proposed a joint resource allocation technique for tracking several targets in distributed MIMO radar networks. The residual resources are used to improve the tracking performances for all key targets.…”

Adaptive Energy Efficiency Based Power Allocation for MIMO Radar Network

“…Song, X., Zheng, N., Yan, S. and Li, H [20] presented the joint resource allocation method to enhance the resource utilization and system performance of the distributed MIMO radar systems. This joint resource allocation method addresses the velocity estimation problem while processing the multiple targets tracking in MIMO radar.…”