Volume 14 Issue 4
Aug.  2025
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Article Navigation >  Journal of Radars  > 2025  >  14(4): 854-866
HE Zhuoyuan, CHEN Shengyao, ZHU Han, et al. Transmit waveform design for symbol-level precoding-based one-bit dual-functional radar-communication[J]. Journal of Radars, 2025, 14(4): 854–866. doi: 10.12000/JR24217
Citation: HE Zhuoyuan, CHEN Shengyao, ZHU Han, et al. Transmit waveform design for symbol-level precoding-based one-bit dual-functional radar-communication[J]. Journal of Radars, 2025, 14(4): 854–866. doi: 10.12000/JR24217
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Transmit Waveform Design for Symbol-level Precoding-based One-bit Dual-functional Radar-communication

DOI: 10.12000/JR24217 CSTR: 32380.14.JR24217

  • School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

Funds:  The National Natural Science Foundation of China (62471230, 62171224), Natural Science Foundation of Jiangsu Province (BK20221486)
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    Abstract
  • This study explores the use of one-bit Digital-to-Analog Converters (DAC) to mitigate the challenges of high hardware costs and excessive power consumption in large-scale Multiple-Input Multiple-Output (MIMO) communication and radar systems. The present study focuses on the design of one-bit transmit waveforms for dual-functional radar and communication systems. Under preset communication Quality of Service (QoS) constraints, the objective was to minimize the integral sidelobe-to-mainlobe ratio of the radar transmit beampattern. This should help enhance the power concentration of the transmitted beampattern and improve the performance of the beampattern synthesis. To address the limited Degrees of Freedom (DoF) caused by one-bit quantization, this study employs symbol-level precoding technology and then fully utilizes the DoFs in spatial and temporal domains to assist waveform design based on the principle of Constructive Interference (CI). To address the nonconvex fractional quadratic objective function and the multiple nonconvex discrete constraints inherent in the proposed waveform design problem, this study introduces an algorithm that combines the Dinkelbach transform with the Alternating Direction Method of Multipliers (ADMM). This approach effectively tackles the NP-hard problem. The numerical results demonstrate that the designed waveform significantly reduces the required DAC resolution and achieves excellent radar beampattern performance while satisfying the QoS requirements of downlink multiuser communications.

     

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