ICASSP 2021accepted0 citations

Waveform Design for the Joint MIMO Radar and Communications with Low Integrated Sidelobe Levels and Accurate Information Embedding

Yongzhe Li, Xinyu Wu, Ran Tao

Abstract

In this paper, we focus on the multiple-waveform design for the joint multiple-input multiple-output radar and communications system, which aims to simultaneously attain low integrated sidelobe level (ISL) of waveforms and accurate fast-time modulation for information embedding (IE). We propose a novel strategy to exploit the attributes of waveform phases with extremely large degrees of freedom for embedding communication symbols, based on which we formulate the generalized waveform design into a nonconvex optimization problem. Our major contribution lies in converting both the ISL related objective and the fast-time modulation related constraints for IE into tractable quadratic forms. To achieve this, we introduce a novel diagonal matrix with Toeplitz blocks to reformulate and then relax the problem into a form that involves the outer product of the waveform vector in its objective. In order to solve this problem, we exploit the majorization-minimization technique to devise an algorithm that enables a closed-form solution at each iteration. Simulation results verify the effectiveness of our design.

BibTeX
@inproceedings{icassp2021_waveformdesignfo,
  title = {Waveform Design for the Joint MIMO Radar and Communications with Low Integrated Sidelobe Levels and Accurate Information Embedding},
  author = {Yongzhe Li and Xinyu Wu and Ran Tao},
  booktitle = {ICASSP 2021},
  year = {2021}
}