面向保精度跟踪的主被动雷达网络联合功率分配与节点优选算法

doi:10.12305/j.issn.1001-506X.2025.12.13

摘要/Abstract

摘要：

针对持续探测背景下保精度目标跟踪需求，基于主被动雷达网络提出一种联合功率分配与节点优选算法。首先采用并行扩展卡尔曼滤波器估计和预测目标状态，然后基于预测信息推导预测贝叶斯克拉美-罗下界（跟踪性能测度）关于发射功率与接收节点的函数，最后以最小化主被动雷达的功率使用率和节点使用率的和为优化目标，在发射总功率有限和预设跟踪精度约束条件下，将主被动雷达网络资源分配模型建立为混合整数规划问题。基于模型的部分单调性和变量可分性，设计一种快速去耦求解算法。仿真结果表明，相比遗传算法，所提方法以较小的计算复杂度获得了近似最优解，相比均匀分配方案，所提方法在保精度稳定跟踪条件下，最终可实现节省系统资源80%，证明了所提方法的有效性。

关键词: 主被动雷达, 目标跟踪, 功率分配, 传感器选择

Abstract:

In response to the need for precision-preserving target tracking in the context of continuous detection, a joint power allocation and node selection algorithm is proposed based on an active-passive radar network. Firstly, employs a parallel extended Kalman filter to estimate and predict the target state. And then, derives a predictive Bayesian Cramér-Rao lower bound （a tracking performance metric） as a function of transmission power and receiving nodes based on the prediction information. Finally, the optimization objective is to minimize the combined power usage and node usage of the active-passive radar, under the constraints of limited total transmission power and preset tracking accuracy. The resource allocation model is formulated for active-passive radar as a mixed-integer programming problem. Exploiting the partial monotonicity and variable separability of the model, a fast decoupling solution algorithm is designed. Simulation results show that, compared to the genetic algorithm, the proposed method achieves an approximately optimal solution with lower computational complexity. Additionally, compared to the uniform distribution scheme, the proposed method can ultimately save 80% of system resources while maintaining accuracy and stable tracking conditions, which demonstrates the effectiveness of the proposed method.

Key words: active-passive radar, target tracking, power allocation, sensor selection

中图分类号:

TN 953

刘文岚, 王德伍, 戴金辉, 安强, 窦凇耀. 面向保精度跟踪的主被动雷达网络联合功率分配与节点优选算法[J]. 系统工程与电子技术, 2025, 47(12): 4110-4116.

Wenlan LIU, Dewu WANG, Jinhui DAI, Qiang AN, Songyao DOU. Joint power allocation and node selection algorithm for precision-preserving tracking in active-passive radar network[J]. Systems Engineering and Electronics, 2025, 47(12): 4110-4116.

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