Liu, F;
Masouros, C;
Griffiths, H;
(2019)
Dual-functional radar-communication waveform design under constant-modulus and orthogonality constraints.
In: Davies, Mike and McLaughlin, Stephen and Barr, Jordi and Heald, Gary, (eds.)
Proceedings of the 8th Conference of Sensor Signal Processing for Defence (SSPD-2019).
IEEE Xplore: New York, USA.
Preview |
Text
Liu et al_ AAM_1904.05917.pdf - Accepted Version Download (358kB) | Preview |
Abstract
In this paper, we focus on constant-modulus waveform design for the dual use of radar target detection and cellular transmission. As the MIMO radar typically transmits orthogonal waveforms to search potential targets, we aim at jointly minimizing the downlink multi-user interference and the non-orthogonality of the transmitted waveform. Given the non-convexity in both orthogonal and CM constraints, we decompose the formulated optimization problem as two sub-problems, where we solve one of the sub-problems by singular value decomposition and the other one by the Riemannian conjugate gradient algorithm. We then propose an alternating minimization approach to obtain a near-optimal solution to the original problem by iteratively solve the two sub-problems. Finally, we assess the effectiveness of the proposed approach via numerical simulations.
Type: | Proceedings paper |
---|---|
Title: | Dual-functional radar-communication waveform design under constant-modulus and orthogonality constraints |
Event: | 8th Conference of Sensor Signal Processing for Defence (SSPD-2019), 9-10 May 2019, Brighton, UK |
ISBN-13: | 9781728105031 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/SSPD.2019.8751644 |
Publisher version: | https://doi.org/10.1109/SSPD.2019.8751644 |
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: | conjugate gradient methods, interference suppression, iterative methods, MIMO radar, minimisation, object detection, radar detection, radar interference, singular value decomposition |
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/10079501 |
Archive Staff Only
View Item |