TY - JOUR
T1 - On Range Sidelobe Reduction for Dual-Functional Radar-Communication Waveforms
AU - Liu, Fan
AU - Masouros, Christos
AU - Ratnarajah, Tharmalingam
AU - Petropulu, Athina
N1 - Funding Information: Manuscript received March 19, 2020; revised May 2, 2020; accepted May 23, 2020. Date of publication May 27, 2020; date of current version September 9, 2020. This work was supported in part by the Marie Skłodowska-Curie Individual Fellowship under Grant 793345, in part by the Engineering and Physical Sciences Research Council of the U.K. under Grant EP/S026622/1, and in part by the U.K. MOD University Defence Research Collaboration in Signal Processing. The associate editor coordinating the review of this article and approving it for publication was T. Riihonen. (Corresponding author: Fan Liu.) Fan Liu and Christos Masouros are with the Department of Electronic and Electrical Engineering, University College London, London WC1E 7JE, U.K. (e-mail: fan.liu@ucl.ac.uk; chris.masouros@ieee.org). Publisher Copyright: © 2012 IEEE.
PY - 2020/9
Y1 - 2020/9
N2 - In this letter, we propose a novel waveform design for multi-input multi-output (MIMO) dual-functional radar-communication systems by taking the range sidelobe control into consideration. In particular, we focus on optimizing the weighted summation of communication and radar metrics under per-antenna power budget. While the formulated optimization problem is non-convex, we develop a first-order descent algorithm by exploiting the manifold structure of its feasible region, which finds a near-optimal solution within a low computational overhead. Numerical results show that the proposed waveform design outperforms the conventional techniques by improving the communication rate while reducing the range sidelobe level.
AB - In this letter, we propose a novel waveform design for multi-input multi-output (MIMO) dual-functional radar-communication systems by taking the range sidelobe control into consideration. In particular, we focus on optimizing the weighted summation of communication and radar metrics under per-antenna power budget. While the formulated optimization problem is non-convex, we develop a first-order descent algorithm by exploiting the manifold structure of its feasible region, which finds a near-optimal solution within a low computational overhead. Numerical results show that the proposed waveform design outperforms the conventional techniques by improving the communication rate while reducing the range sidelobe level.
KW - Dual-function radar-communication
KW - manifold optimization
KW - range sidelobe
KW - waveform design
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U2 - https://doi.org/10.1109/LWC.2020.2997959
DO - https://doi.org/10.1109/LWC.2020.2997959
M3 - Article
VL - 9
SP - 1572
EP - 1576
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
SN - 2162-2337
IS - 9
M1 - 9102248
ER -