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)
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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 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-pp.ucl.ac.uk/id/eprint/10123238 |
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