杂波环境中雷达通信一体化系统波形设计算法研究

吴文俊 唐波 汤俊 胡元奎

吴文俊, 唐波, 汤俊, 等. 杂波环境中雷达通信一体化系统波形设计算法研究[J]. 雷达学报, 2022, 11(4): 570–580. doi: 10.12000/JR22105
引用本文: 吴文俊, 唐波, 汤俊, 等. 杂波环境中雷达通信一体化系统波形设计算法研究[J]. 雷达学报, 2022, 11(4): 570–580. doi: 10.12000/JR22105
WU Wenjun, TANG Bo, TANG Jun, et al. Waveform design for dual-function radar-communication systems in clutter[J]. Journal of Radars, 2022, 11(4): 570–580. doi: 10.12000/JR22105
Citation: WU Wenjun, TANG Bo, TANG Jun, et al. Waveform design for dual-function radar-communication systems in clutter[J]. Journal of Radars, 2022, 11(4): 570–580. doi: 10.12000/JR22105

杂波环境中雷达通信一体化系统波形设计算法研究

doi: 10.12000/JR22105
基金项目: 国家自然科学基金(62171450, 61671453),国家重点研究发展计划(2021YFA1402102),安徽省杰出青年科学基金(2108085J30)
详细信息
    作者简介:

    吴文俊(1996-),男,安徽宣城人,国防科技大学电子对抗学院在读硕士。主要研究方向为雷达信号处理、一体化波形设计

    唐 波(1985-),男,江西临川人, 2011年在清华大学电子工程系获得博士学位,现为国防科技大学电子对抗学院副教授。主要研究方向为雷达信号处理、通信信号处理和阵列信号处理等,目前已发表论文80余篇

    汤 俊(1973-),男,江苏南京人,清华大学电子工程系教授,博士生导师。主要研究方向为雷达信号处理系统技术、自适应阵列信号处理技术和复杂电子信息系统

    胡元奎(1979-),男,河南南阳人,博士。主要研究方向为雷达对抗、综合射频系统

    通讯作者:

    唐波 tangbo17@nudt.edu.cn

  • 责任主编:崔国龙 Corresponding Editor: CUI Guolong
  • 中图分类号: TN959.1

Waveform Design for Dual-function Radar-communication Systems in Clutter

Funds: The National Natural Science Foundation of China (62171450, 61671453), The National Key Research and Development Program (2021YFA1402102), The Anhui Provincial Natural Science Foundation (2108085J30)
More Information
  • 摘要: 针对杂波环境中雷达通信一体化系统探测性能下降的问题,该文以信干噪比作为设计准则,通过联合优化系统发射波形和接收滤波器来抑制杂波,进而增强目标探测性能。为同时保证系统信息传输的质量,将通信信号的多用户干扰能量纳入约束条件。此外,引入相似性约束使得发射波形具有良好的模糊函数。为求解发射波形和接收滤波器联合优化问题,提出了一种基于循环优化和半正定松弛的迭代算法。理论分析证明了算法的收敛性。仿真结果表明,所设计的波形不仅可以提升系统在杂波环境中的目标探测性能,而且可以高效地实现多用户通信。

     

  • 图  1  基于MIMO阵列的雷达通信一体化系统

    Figure  1.  Dual-function radar communication system based on MIMO array

    图  2  ${{{\tilde {\boldsymbol{X}}}}^{{\text{opt}}}}$的分解方法

    Figure  2.  The decomposition of ${{{\tilde {\boldsymbol{X}}}}^{{\text{opt}}}}$

    图  3  联合优化算法流程图

    Figure  3.  Flow chart of the joint optimization algorithm

    图  4  SINRr随着迭代次数的变化曲线(通信MUI能量为10–3)

    Figure  4.  SINRr versus iteration number with MUI energy of 10–3

    图  5  波束方向图(通信MUI能量为10–3)

    Figure  5.  Beampattern of the dual-function radar-communication systems with MUI energy of 10–3

    图  6  合成通信信号${{\stackrel \frown{{\boldsymbol{C}}} {\boldsymbol{x}}}}$性能

    Figure  6.  The performance of the synthesized communication signals

    图  7  和速率随通信信号信噪比变化情况

    Figure  7.  The achievable sum-rate versus the signal-to-noise ratio of communication signals

    图  8  不同$ \delta $条件下SINRr随着迭代次数的变化曲线

    Figure  8.  SINRr versus iteration number for different δ

    图  9  波形的模糊函数

    Figure  9.  Ambiguity functions of the presented waveforms

    图  10  不同β条件下SINRr随着迭代次数的变化曲线

    Figure  10.  SINRr versus iteration number for different β

    图  11  不同β条件下和速率随通信信号信噪比变化情况

    Figure  11.  The achievable sum-rate versus the signal-to-noise ratio of communication signals for different β

    图  12  不同通信用户数目条件下SINRr随着迭代次数的变化曲线

    Figure  12.  SINRr versus iteration number for different M

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出版历程
  • 收稿日期:  2022-06-05
  • 修回日期:  2022-08-01
  • 网络出版日期:  2022-08-22
  • 刊出日期:  2022-08-28

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