认知雷达组网时的带宽与驻留时间分配算法

A Bandwidth and Dwelling Time Allocation Algorithm for Cognitive Radar Networking

认知雷达网系统已被证实在多目标跟踪方面具有显著优势。提出了一种基于后验克拉美罗下界(PCRLB)的带宽与驻留时间联合分配算法。首先分析、构建了带宽、驻留时间与目标跟踪精度的影响关系模型,设计了基于PCRLB的带约束优化目标函数,利用粒子群算法(PSO)实现对驻留时间与带宽的联合分配。仿真结果证明,与平均分配资源相比,所提方法不仅能节约系统的时间和带宽资源,而且改善了雷达的跟踪性能。

The cognitive radar network has shown significant advantages in multi-target tracking.This paper presents a bandwidth and dwelling time allocation algorithm based on Posterior Cramer-Rao Lower Bound(PCRLB).The influence of bandwidth and dwelling time on tracking accuracy is analyzedand a model describing their relationship is constructed.A PCRLB-based optimization objective function with constraints is designedand the joint allocation of dwelling time and bandwidth is realized by Particle Swarm Optimization(PSO).The simulation results show thatcompared with the method of equal allocation of resourcethe proposed method can not only save time and bandwidth resourcesbut also improve the tracking performance of radar.