Kloob, Y;
Al-Jarrah, M;
Alsusa, E;
Masouros, C;
(2024)
Trade-off performance analysis of Radcom using the relative entropy.
In:
2024 IEEE Symposium on Computers and Communications (ISCC).
IEEE: Paris, France.
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Abstract
n this paper, we analyze the performance tradeoff between integrated radar and communications (RadCom) systems using the Kullback-Leibler divergence (KLD) measure, also called the relative entropy (RE). Specifically, we derive the KLD measure for both subsystems for a base-station serving a number of communication users while detecting multiple targets simultaneously. We evaluate the trade-off between the radar and the communication systems using a weighted KLD that can enhance the flexibility of the allocations. The results demonstrate that the KLD is an effective mean for achieving the optimal tradeoff between both systems and that it provides a higher degree of controllablity and adaptability for RadCom systems.
| Type: | Proceedings paper |
|---|---|
| Title: | Trade-off performance analysis of Radcom using the relative entropy |
| Event: | 2024 IEEE Symposium on Computers and Communications (ISCC) |
| Dates: | 26 Jun 2024 - 29 Jun 2024 |
| ISBN-13: | 979-8-3503-5423-2 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ISCC61673.2024.10733581 |
| Publisher version: | http://dx.doi.org/10.1109/iscc61673.2024.10733581 |
| 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. |
| Keywords: | Radar and communication (Radcom) systems, multiple-input-multiple-output (MIMO), zero-forcing (ZF), Kullback–Leibler divergence, Separated deployment, Relative Entropy |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS 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/10200910 |
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