基于目标容量的网络化雷达功率分配方案  

Target Capacity Based Power Allocation Scheme in Radar Network

作　　者：戴金辉 严俊坤[1] 王鹏辉[1] 刘宏伟[1] DAI Jinhui;YAN Junkun;WANG Penghui;LIU Hongwei(National Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China)

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,西安710071

出　　处：《电子与信息学报》2021年第9期2688-2694,共7页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(62071345);国家杰出青年科学基金(61525105);高等学校学科创新引智计划(111 project,B18039);陕西省自然科学基金(2020JQ-297);中国航空科学基金(201920081002);雷达信号处理国家重点实验室基金(61424010406)。

摘　　要：针对现有网络化雷达功率资源利用率低的问题,该文提出一种基于目标容量的功率分配(TC-PA)方案以提升保精度跟踪目标个数。TC-PA方案首先将网络化雷达功率分配模型制定为非光滑非凸优化问题;而后引入Sigmoid函数将原问题松弛为光滑非凸优化问题;最后运用近端非精确增广拉格朗日乘子法(PI-ALMM)对松弛后的非凸问题进行求解。仿真结果表明,PI-ALMM对于求解线性约束非凸优化问题可以较快地收敛到一个稳态点。另外,相比传统功率均分方法和遗传算法,所提TC-PA方案可以最大限度地提升目标容量。In view of the fact that low power resource utilization rate exists in radar network, a Target Capacity based Power Allocation(TC-PA) scheme is proposed to increase the number of the targets that satisfy tracking accuracy requirements. Firstly, this scheme formulates the power allocation model of radar network as a nonsmooth and non-convex optimization problem. Then the original problem is relaxed into a smooth and nonconvex problem through introducing Sigmoid function. Finally, the relaxed non-convex problem is solved by utilizing the Proximal Inexact Augmented Lagrangian Multiplier Method(PI-ALMM). Simulation results show that the PI-ALMM can quickly converge to a stationary point for solving the non-convex optimization problem with linear constraints. Moreover, the proposed TC-PA scheme outperforms the traditional uniform power allocation method and genetic algorithm, in terms of target capacity.

关 键 词：网络化雷达 多目标跟踪 资源分配 非凸优化 

分 类 号：TN958[电子电信—信号与信息处理]