| 引用本文: | 周青松，陈沁娴，黄 超，杨仲平，李志汇，钱佳龙. 频谱拥塞环境下雷达抗间歇采样转发干扰收发联合设计[J]. 雷达科学与技术, 2025, 23(2): 182-191.[点击复制] |
| ZHOU Qingsong, CHEN Qinxian, HUANG Chao, YANG Zhongping, LI Zhihui, QIAN Jialong. Joint Design of Transmit Waveform and Mismatched Filter for Suppressing ISRJ Under Spectrum Crowed Environment[J]. Radar Science and Technology, 2025, 23(2): 182-191.[点击复制] |
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| 摘要: |
| 在现代电子战中，间歇采样转发干扰（Interrupted Sampling Repeater Jamming, ISRJ）对脉冲压缩雷达构成了较大威胁。此外，随着电磁环境的日益复杂和拥挤，雷达所面临的频谱拥塞问题（Spectrum Congestion Problem, SCP）也备受关注。为了应对ISRJ和SCP，本文研究了一种发射波形和非匹配滤波器的联合设计方法，以在具有ISRJ的频谱拥塞环境中提高雷达检测性能。具体来说，以抑制信号脉冲压缩积分旁瓣和抑制干扰信号滤波输出积分能量为目标函数建立优化模型，同时，为模型施加频谱兼容性约束来提高雷达与其他设备的共存能力，并结合工程实际考虑了能量约束和峰值模量约束。为了解决由此产生的非凸NP难多约束问题，运用交替优化框架和半定规划算法对问题进行了有效求解。数值实验证明了所提方法的良好性能。 |
| 关键词: 间歇采样转发干扰 频谱拥塞问题 交替优化 半定规划 |
| DOI：DOI:10.3969/j.issn.1672-2337.2025.02.009 |
| 分类号:TN972 |
| 基金项目:国家自然科学基金（No.62301581）； 中国博士后科学基金面上项目（No.2023M734313）； 湖南省研究生创新项目（No.CX20230045） |
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| Joint Design of Transmit Waveform and Mismatched Filter for Suppressing ISRJ Under Spectrum Crowed Environment |
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ZHOU Qingsong, CHEN Qinxian, HUANG Chao, YANG Zhongping, LI Zhihui, QIAN Jialong
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College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China
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| Abstract: |
| In modern electronic warfare, interrupted sampling repeater jamming （ISRJ） poses a substantial threat to pulse compression radar. Additionally, with the increasingly complex and congested electromagnetic environment, the spectrum congestion problem （SCP） faced by radar has garnered considerable attention. To enhance radar detection performance in a SCP environment with ISRJ challenge, a joint design method of transmit waveform and mismatched filter is investigated in this paper. Specifically, the objective function is formulated to minimize the transmit signal pulse compression integrated sidelobe level and jamming signal mismatched filter output integrated level, and the spectral compatibility constraint is introduced to facilitate the coexistence between radar and other devices. To align with practical engineering requirements, energy constraints and peak?to?average modulus constraints are also incorporated into the model. The resultant problem is non?convex and NP?hard. To address it, an alternating optimization framework combined with a semidefinite programming algorithm is effectively employed. Finally, numerical experiments demonstrate the superior performance of the proposed method. |
| Key words: interrupted sampling repeater jamming（ISRJ） spectrum congestion problem alternating optimization semidefinite programming |
