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Joint Beamforming Design for Extended Target Estimation and Multiuser Communication

Radar Conference 2020 | Liu F, Masouros C | In this paper, we propose a novel multi-input multi-output (MIMO) beamforming design towards joint radar sensing and multiuser communication. To charac...

4 December 2020

Joint Beamforming Design for Extended Target Estimation and Multiuser Communication

Abstract


In this paper, we propose a novel multi-input multi-output (MIMO) beamforming design towards joint radar sensing and multiuser communication. To characterize the performance of the radar functionality, we derive a closed form of the mean squared error (MSE) for target estimation given a probing signal. Furthermore, we propose to minimize the estimation MSE while guaranteeing the signal-to-interference-plus-noise ratio (SINR) of each communication user. While the formulated optimization problem is non-convex, it can be solved via the semidefinite relaxation algorithm. Finally, numerical results are provided to validate the effectiveness of the proposed approach.

Publication Type:Conference
Authors:Liu F, Masouros C
Publisher:IEEE
Publication date:04/12/2020
Pagination:1-6
Published proceedings:Proceedings of the 2020 IEEE Radar Conference (RadarConf20)
Status:Published 
Name of Conference:IEEE Radar Conference (RadarConf) 2020
Conference location:Florence, Italy
Conference start date:21/09/2020
Conference end date:12509/2020
Print ISSN:1097-5764
Language:English
DOI:http://dx.doi.org/10.1109/RadarConf2043947.2020.9266710
Full Text URL:https://discovery.ucl.ac.uk/id/eprint/10123238/
Author URL:

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