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Joint Beamforming Design for Extended Target Estimation and Multiuser Communication

Liu, F; Masouros, C; (2020) Joint Beamforming Design for Extended Target Estimation and Multiuser Communication. In: Proceedings of the IEEE Radar Conference (RadarConf20) 2020. Institute of Electrical and Electronics Engineers (IEEE) Green open access

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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.

Type: Proceedings paper
Title: Joint Beamforming Design for Extended Target Estimation and Multiuser Communication
Event: IEEE Radar Conference (RadarConf) 2020
Location: Florence, Italy
Dates: 21st-25th September 2020
ISBN-13: 978-1-7281-8942-0
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/RadarConf2043947.2020.9266710
Publisher version: https://doi.org/10.1109/RadarConf2043947.2020.9266...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10123238
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