Liu, F;
Zhou, L;
Masouros, C;
Li, A;
Luo, W;
Petropulu, A;
(2018)
Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design.
IEEE Transactions on Signal Processing
, 66
(16)
pp. 4264-4279.
10.1109/TSP.2018.2847648.
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Abstract
We focus on a dual-functional multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single transmitter communicates with downlink cellular users and detects radar targets simultaneously. Several design criteria are considered for minimizing the downlink multi-user interference. First, we consider both the omnidirectional and directional beampattern design problems, where the closed-form globally optimal solutions are obtained. Based on these waveforms, we further consider weighted optimizations to enable a flexible trade-off between radar and communications performance and introduce low-complexity algorithms. Moreover, to address the more practical constant modulus waveform design problem, we propose a branch-and-bound algorithm that obtains a globally optimal solution and derive its worst-case complexity as a function of the maximum iteration number. Finally, we assess the effectiveness of the proposed waveform design approaches by numerical results.
Type: | Article |
---|---|
Title: | Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/TSP.2018.2847648 |
Publisher version: | https://doi.org/10.1109/TSP.2018.2847648 |
Language: | English |
Additional information: | This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/. |
Keywords: | Spectrum sharing, radar-communication, multiuser interference, non-convex optimization, global minimizer. |
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.ucl.ac.uk/id/eprint/10051573 |




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