Volume 14 Issue 4
Aug.  2025
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Article Navigation >  Journal of Radars  > 2025  >  14(4): 896-914
LIU Yu, ZHANG Junhao, YAO Xue, et al. Dual function radar and communication waveform design based on sub-pulse hybrid modulation[J]. Journal of Radars, 2025, 14(4): 896–914. doi: 10.12000/JR24241
Citation: LIU Yu, ZHANG Junhao, YAO Xue, et al. Dual function radar and communication waveform design based on sub-pulse hybrid modulation[J]. Journal of Radars, 2025, 14(4): 896–914. doi: 10.12000/JR24241
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Dual Function Radar and Communication Waveform Design Based on Sub-pulse Hybrid Modulation

DOI: 10.12000/JR24241 CSTR: 32380.14.JR24241
  • 1.

    School of Electronic and Information Engineering, Chongqing Three Gorges University, Chongqing 404020, China

  • 2.

    School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Funds:  The National Natural Science Foundation of China (62271126), the Natural Science Foundation Project of Chongqing (CSTB2022NSCQ-MSX1156) and the Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN202201202)
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  • Corresponding author: YAO Xue, yaoxue_2016@163.com
  • Received Date: 2024-12-03
  • Rev Recd Date: 2025-05-29
    • Available Online: 2025-06-17
  • Publish Date: 2025-07-01
    Abstract
  • To address the low data rate issue in the design of Dual-Function Radar-Communication (DFRC) waveforms with radar detection as the primary function, this paper proposes an information modulation method for multiple sub-pulse structure waveforms called Sub-pulse Hybrid Modulation (SHM). The proposed SHM method utilizes time-, spectral-, and polarization-domain features from inter-subpulse and intra-subpulse sources to convey information. The DFRC waveform design problem is formulated based on minimizing cross- and auto-correlation Peak Sidelobe Levels (PSL), while considering constant envelope and SHM constraints. To tackle the resulting nonconvex and nondeterministic polynomial-hard optimization problem, the Spectral Majorization Minimization (SMM) algorithm is employed to monotonically decrease the objective function value. Furthermore, this paper explores an echo processing method that makes the Doppler frequency at the first zero point of the zero-delay intercept of the fuzzy function $ L - 1 $ times higher than that of the conventional waveform, where L is the number of sub-pulses. This enhancement ensures high Doppler tolerance for the DFRC waveform and enables effective detection of high-speed targets.

     

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