Su, N;
Wei, Z;
Masouros, C;
(2021)
Secure Dual-Functional Radar-Communication System via Exploiting Known Interference in the Presence of Clutter.
In:
2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).
(pp. pp. 451-455).
IEEE: Lucca, Italy.
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Abstract
This paper addresses the problem that designing the transmit waveform and receive beamformer aims to maximize the receive radar SINR for secure dual-functional radar- communication (DFRC) systems, where the undesired multi- user interference (MUI) is transformed to useful power. In this system, the DFRC base station (BS) serves communication users (CUs) and detects the target simultaneously, where the radar target is regarded to be malicious since it might eavesdrop the transmitted information from BS to CUs. Inspired by the constructive interference (CI) approach, the phases of received signals at CUs are rotated into the relaxed decision region, and the undesired MUI is designed to contribute in useful power. Then, the convex approximation method (SCA) is adopted to tackle the optimization problem. Finally, numerical results are given to validate the effectiveness of the proposed method, which shows that it is viable to ensure the communication data secure adopting the techniques that we propose.
Type: | Proceedings paper |
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Title: | Secure Dual-Functional Radar-Communication System via Exploiting Known Interference in the Presence of Clutter |
Event: | 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/spawc51858.2021.9593096 |
Publisher version: | http://doi.org/10.1109/spawc51858.2021.9593096 |
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: | Wireless communication, Radar clutter, Conferences, Radar detection, Interference, Radar signal processing, Copper |
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/10129918 |
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