Volume 12 Issue 2
Apr.  2023
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Article Navigation >  Journal of Radars  > 2023  >  12(2): 297-311
LIU Liu, LIANG Xingdong, LI Yanlei, et al. A novel joint radar-communication waveform design method based on distributed aperture[J]. Journal of Radars, 2023, 12(2): 297–311. doi: 10.12000/JR23019
Citation: LIU Liu, LIANG Xingdong, LI Yanlei, et al. A novel joint radar-communication waveform design method based on distributed aperture[J]. Journal of Radars, 2023, 12(2): 297–311. doi: 10.12000/JR23019
shu

A Novel Joint Radar-communication Waveform Design Method Based on Distributed Aperture

DOI: 10.12000/JR23019
  • 1.

    National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Science, Beijing 100190, China

  • 2.

    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Funds:  The National Ministries Foundation
More Information
  • Corresponding author: LIANG Xingdong, xdliang@mail.ie.ac.cn
  • Received Date: 2023-02-08
  • Rev Recd Date: 2023-03-22
    • Available Online: 2023-03-27
  • Publish Date: 2023-04-14
    Abstract
  • Joint radar-communication waveform design has been the focus of intensive research in recent years. The integrated waveform based on a collocated antenna can simultaneously detect targets and communicate with multiple users in different directions. However, integrated waveforms possess poor anti-jamming properties and lack secure communication abilities, which limits their capacity to address the jamming and eavesdropping behaviors that generate at various ranges in the same beam direction. In this study, a novel joint radar-communication waveform design method based on a distributed aperture is proposed to control waveform distributions in the three-dimensional space. First, the waveform synthesis constraint is established to synthesize the desired radar and communication waveforms in designated directions. Second, the constant modulus constraint is added to each sub-aperture, following which an integrated waveform optimization model is established based on the minimum transmission power. Finally, the alternating projection algorithm is used to iteratively solve the nonconvex optimization problem. Simulation results demonstrate that the proposed method synthesizes desired waveforms at target positions and realizes three-dimensional spatial waveform manipulation.

     

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