Journal
IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 9, Issue 9, Pages 1572-1576Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2020.2997959
Keywords
Manifolds; Optimization; Radar cross-sections; Measurement; Interference; Covariance matrices; Dual-function radar-communication; waveform design; range sidelobe; manifold optimization
Categories
Funding
- Marie Sklodowska-Curie Individual Fellowship [793345]
- Engineering and Physical Sciences Research Council of the U.K. [EP/S026622/1]
- U.K. MOD University Defence Research Collaboration in Signal Processing
- EPSRC [EP/S026622/1] Funding Source: UKRI
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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.
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