计算机科学
数学优化
趋同(经济学)
资源配置
发射机功率输出
雷达
合成孔径雷达
相控阵
迭代法
到达方向
到达时间
克拉姆-饶行
算法
无线
电信
发射机
数学
人工智能
估计理论
计算机网络
经济
频道(广播)
天线(收音机)
经济增长
作者
Weiwei Zhang,Chenguang Shi,Jianjiang Zhou,Ruiguang Lv
出处
期刊:IEEE Transactions on Aerospace and Electronic Systems
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:: 1-14
被引量:3
标识
DOI:10.1109/taes.2022.3203688
摘要
In practical application, the resources related to infrastructure and electromagnetic radiation are often limited for phased array radar network (PARN). To more effectively exploit these limitation resources, a joint aperture and transmit resource allocation (JATRA) strategy is built for the application of multi-target localization. The principle of the JATRA strategy is to minimize the total transmit power of the PARN by optimally allocating the aperture, power and effective bandwidth under the constraints of the system resources, while achieving the predefined localization accuracy for each target. To begin with, the expressions of Cramér–Rao lower bound (CRLB) of target localization are derived for time of arrival (TOA), direction of arrival (DOA) as well as joint TOA and DOA, and adopted as localization metric. Subsequently, the JATRA strategy is constructed as a mixed-integer, nonlinear and nonconvex optimization problem involving three adaptable vectors. In view of the characteristics presented in the construction model, a fast convergent two-step iterative optimization algorithm is designed to distribute three kinds of resources, together with its convergence and complexity well analyzed. Finally, the convergence of the two-step iterative algorithm is verified by simulation results, providing insights into underlying superiority of the JATRA strategy in comparison with other existing resource allocation schemes.
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