Receiver Antenna Allocation for Joint Sensing and Communications

被引:0
|
作者
van der Werf, Ids [1 ]
Leus, Geert [1 ]
Chepuri, Sundeep Prabhakar [2 ]
机构
[1] Delft Univ Technol, Delft, Netherlands
[2] Indian Inst Sci, Bengaluru, India
关键词
Convex optimization; Cramer-Rao bound; sensor selection; joint sensing and communication; multi-target estimation; SELECTION;
D O I
10.1109/SAM60225.2024.10636382
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We describe the problem of joint sensing and communications (JSAC) using an antenna array where some antennas are used for sensing and some others for communications. The problem is to jointly optimize the sensing and communications performance at the receive side through respectively the CramerRao bound (CRB) on the source angles and the variance of the sources after applying a minimum variance distortionless response (MVDR) beamformer. Both criteria are derived under a two-source scenario and optimized for any position of the two sources. Here one of the sources is considered the source of interest, while the other one models the interference. The performance criteria for sensing and communications are mathematically similar and depend only on the angular difference between the two sources. As a result, they can be elegantly combined and jointly optimized. Our findings are corroborated by simulations under different parameter settings.
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页数:5
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