| 引用本文: | 韦 旺， 汪 洁， 朱 琪， 缪文杰， 葛俊祥. 一种改进窗函数非线性组合法的旁瓣抑制性能研究[J]. 雷达科学与技术, 2023, 21(5): 517-525.[点击复制] |
| WEI Wang, WANG Jie, ZHU Qi, MIAO Wenjie, GE Junxiang. Research on Sidelobe Suppression Performance of an Improved Window Function Nonlinear Grouping Method[J]. Radar Science and Technology, 2023, 21(5): 517-525.[点击复制] |
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| 摘要: |
| 为解决在雷达脉冲压缩过程中通过海明窗、汉宁窗等加权方式降低旁瓣而引起主瓣展宽、分辨率下降的问题，提出了一种以常用窗函数为基窗函数的改进窗函数非线性组合法。首先，相较于基窗函数，基于窗函数加权脉冲压缩的原理，证明窗函数线性组合法在主瓣展宽不变时可获得更好的旁瓣抑制能力；并在此基础上进一步证明改进的窗函数非线性组合法具有更优的旁瓣抑制能力。然后，通过对改进的窗函数非线性组合法在三角窗、汉宁窗、海明窗、布莱克曼窗等作为基窗函数时的脉冲压缩性能仿真与分析，验证了该方法使用不同基窗函数均可在主瓣展宽不变、信噪比损失增加低于0.5 dB的前提下，将峰值旁瓣相比凯塞窗降低4 dB以上、相比几种常用窗函数降低7 dB以上。最后，通过多目标的仿真实验验证，相比于不同的基窗函数，改进窗函数非线性组合法具有更优的弱小目标检测能力。 |
| 关键词: 脉冲压缩 窗函数组合 主瓣展宽不变 旁瓣抑制 |
| DOI：DOI:10.3969/j.issn.1672-2337.2023.05.007 |
| 分类号:TN958.3 |
| 基金项目:国家自然科学基金（No.61701249，62071238） |
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| Research on Sidelobe Suppression Performance of an Improved Window Function Nonlinear Grouping Method |
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WEI Wang, WANG Jie, ZHU Qi, MIAO Wenjie, GE Junxiang
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1. School of Electronic and Information Engineering，Nanjing University of Information Science ＆Technology，Nanjing 210044， China;2. Institute of Radar Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
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| Abstract: |
| In order to solve the problem of main lobe broadening and resolution decreasing caused by reducing the side lobe through weighting Hamming window and Hanning window during radar pulse compression, an improved window function nonlinear grouping method based on common window functions is proposed. Firstly, on the basis of the window function weighted pulse compression principle, it is proved that the window function linear grouping method can obtain better sidelobe suppression ability compared with the basis window function when the main lobe broadening is constant. Further, it is proved that the improved window function nonlinear grouping method has better sidelobe suppression ability. Then, through the simulation and analysis of the pulse compression performance of the improved window function nonlinear grouping method when the triangular window, Hanning window, Hamming window and Blackman window are used as the base window functions, it is verified that the method can reduce the peak sidelobe by more than 4 dB compared with Kaiser window and more than 7 dB compared with several common window functions under the premise that the main lobe broadening remains unchanged and the signal?to?noise ratio loss increases by less than 0.5 dB. Finally, it is verified through multi?target simulations that the improved window function nonlinear grouping method has better detection capability for weak targets compared with different base window functions. |
| Key words: pulse compression window function combination main⁃lobe broadening unchanging sidelobe suppression |
