Near-Field ISAC: Beamforming for Multi-Target Detection

被引:5
|
作者
Galappaththige, Diluka [1 ]
Zargari, Shayan [1 ]
Tellambura, Chintha [1 ]
Li, Geoffrey Ye [2 ]
机构
[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 1H9, Canada
[2] Imperial Coll London, ITP Lab, Dept Elect & Elect Engn, London SW7 2BX, England
关键词
Sensors; Noise measurement; Array signal processing; Receivers; Interference; Signal to noise ratio; Optimization; Integrated sensing and communication; near-field; beamforming;
D O I
10.1109/LWC.2024.3397081
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This letter develops multi-target detection in near-field (NF) integrated sensing and communication (ISAC) systems. Specifically, the base station (BS) operates in full-duplex mode to sense the environmental information from the targets while communicating with the users. To minimize BS transmit power and to satisfy communication and sensing rate targets, we design optimal transmit beamforming (for communication and sensing) and reception beamforming at the BS. We develop an iterative beamforming algorithm to solve the resulting non-convex optimization problem. Compared to the traditional far-field benchmark, the proposed NF approach with 255 BS transmit and reception antennas uses similar to 1118%(or similar to 6dBm) less BS transmit power to satisfy the required rate requirements. Furthermore, our proposed approach provides precise multi-target location estimates, emphasizing the advantages of NF sensing.
引用
收藏
页码:1938 / 1942
页数:5
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