多输入多输出
带宽(计算)
数学优化
凸优化
计算机科学
雷达
控制理论(社会学)
资源配置
电子工程
最优化问题
功率(物理)
正多边形
算法
数学
工程类
电信
波束赋形
人工智能
物理
几何学
量子力学
计算机网络
控制(管理)
作者
Haowei Zhang,Binfeng Zong,Junwei Xie
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2020-09-01
卷期号:69 (9): 9795-9806
被引量:35
标识
DOI:10.1109/tvt.2020.3002899
摘要
A collocated multiple-input and multiple-output (MIMO) radar has the ability to track multiple targets under the simultaneous multi-beam mode, where each transmit beam is defocused to search the entire surveillance space, and then; a focused beam is formed at the receiver to achieve a higher resolution. A joint power and bandwidth allocation strategy is developed in this mode. The optimization model is established with the aim of improving the sum of weighted posterior Cramer-Rao lower bounds (PCRLBs) of multiple targets, which is predicted based on the feedback information in the tracking recursive cycle, subject to the limited power and bandwidth budget. By exploiting the convex relaxation technique and the cycle minimizer, this problem is transformed into a two-stage convex problem, and an efficient solution is provided using the cyclical optimization framework. The effectiveness of the proposed strategy is demonstrated by comparison with three uniform resource allocation methods in many cases.
科研通智能强力驱动
Strongly Powered by AbleSci AI