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基于抗干扰波形下的杂波抑制仿真研究
Simulation Research on Clutter Suppression Based on Anti-Interference Waveforms
【摘要】 针对复杂电磁环境下雷达抗干扰与杂波抑制的协同优化问题,提出一种三参数捷变线性调频波形设计与联合信号处理方法。通过动态跳变起始频率、脉宽及脉冲重复间隔破坏信号规律性,提升低截获概率与抗干扰能力;针对参数捷变引入的杂波耦合效应与非均匀采样问题,建立基于压缩感知正交匹配追踪的稀疏重构模型,实现非均匀慢时间维信号的多普勒频率恢复来测速测距,并结合最小均方自适应滤波抑制杂波干扰。该方法在保留抗干扰优势的同时,显著改善杂波环境中的目标检测概率与参数估计精度,可为复杂电磁对抗场景下的雷达系统优化提供理论支撑。
【Abstract】 Aiming at the collaborative optimisation of radar anti-jamming and clutter suppression in complex electromagnetic environments, this paper proposeed a triple-parameter agile linear frequency modulation(LFM) waveform design and joint signal processing method. By dynamically varying the initial frequency, pulse width, and pulse repetition interval(PRI), the signal’s periodicity was disrupted, enhancing its low probability of intercept and antijamming capabilities. To address the clutter coupling effects and non-uniform sampling issues introduced by parameter agility, a sparse reconstruction model based on compressed sensing orthogonal matching pursuit(CS-OMP) was established, enabling the recovery of Doppler frequencies for non-uniform slow-time dimension signals, thus facilitating velocity and distance measurements. In addition, least mean square(LMS) adaptive filtering was integrated to suppress clutter interference. This method significantly enhances the target detection probability and parameter estimation accuracy in cluttered environments while retaining anti-jamming advantages, providing theoretical support for optimising radar in complex electromagnetic warfare scenarios.
【Key words】 anti-jamming waveform; clutter suppression; orthogonal matching pursuit(OMP) algorithm; least mean square(LMS) algorithm; radar signal processing; compressed sensing(CS);
- 【文献出处】 空天防御 ,Air & Space Defense , 编辑部邮箱 ,2025年04期
- 【分类号】TN974
- 【下载频次】29