4.7 Article

On Range Sidelobe Reduction for Dual-Functional Radar-Communication Waveforms

Journal

IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 9, Issue 9, Pages 1572-1576

Publisher

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

Funding

  1. Marie Sklodowska-Curie Individual Fellowship [793345]
  2. Engineering and Physical Sciences Research Council of the U.K. [EP/S026622/1]
  3. U.K. MOD University Defence Research Collaboration in Signal Processing
  4. 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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