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.
作者
戴金辉
严俊坤
王鹏辉
刘宏伟
DAI Jinhui;YAN Junkun;WANG Penghui;LIU Hongwei(National Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China)
出处
《电子与信息学报》
EI
CSCD
北大核心
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)。
关键词
网络化雷达
多目标跟踪
资源分配
非凸优化
Radar network
Multiple target tracking
Resource allocation
Non-convex optimization
