Sum-rate Optimization for Radar and Communication Coexistence

被引：0
|
作者：
Wang, Tianxiong [1 ,2 ]
Huang, Jingxuan [1 ,2 ]
Wang, Xinyi [1 ,2 ]
Wang, Siqiang [1 ,2 ]
Fei, Zesong [1 ,2 ]
机构：
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing, Peoples R China
[2] Beijing Inst Technol, Chongqing Innovat Ctr, Beijing, Peoples R China
来源：
2019 11TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP) | 2019年
关键词：
radar-communication coexistence; beamforming; MIMO; convex optimization; MIMO RADAR;
D O I：
10.1109/wcsp.2019.8928113
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Radar-communication coexistence is a promising way to deal with limited spectrum resource. In this paper, we discuss the coexistence between a multiple-input-multiple-output (MIMO) communication system and a MIMO radar. For a given requirement of the interference power from communication to radar, beamforming optimization problems which maximize the communication sum-rate are formulated, transformed into convex and solved. Besides beamforming optimization for perfect channel estimation, a robust beamforming approach is proposed for imperfect channel estimation. Numerical results prove that the proposed beamforming approaches promote the coexistence between communication and radar and also illustrate the trade-off between the performance of the two systems.
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收藏
页数：5
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