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该研究旨在提升激光导引系统中四象限探测器的光斑位置检测精度，进而增强激光武器系统的跟踪性能。针对复杂环境噪声干扰问题，提出一种基于重排维格纳-威利分布与时频峰值编码融合算法。该算法通过多分量信号分离与重建，结合智能分析迭代机制，有效抑制噪声，强化光斑时频特征表达。在功能振动、随机振动、低温及高温环境下进行系统测试，其中光斑轨迹波动率在滤波后这项重要指标对应上述环境下分别降低88.52%,64.67%,97.60%,86.39%。实验结果表明，该算法能够显著提升光斑检测的稳定性和可靠性，为高精度激光导引提供关键技术支撑。
Abstract：This study aims to enhance the spot position detection accuracy of four-quadrant detectors in laser guidance systems, thereby improving the tracking performance of laser weapon systems. To address the issue of interference from complex environmental noise, a fusion algorithm based on the reassigned Wigner–Ville distribution and time–frequency peak filtering is proposed. The algorithm effectively suppresses noise and enhances the time–frequency feature representation of laser spots through multi-component signal separation and reconstruction, combined with an intelligent analysis and iteration mechanism. The system was tested under functional vibration, random vibration, low-temperature, and high-temperature environments, with the critical metric of spot trajectory fluctuation rate reduced by 88.52%, 64.67%, 97.60%, and 86.39%,respectively, after filtering. The experimental results demonstrate that the proposed algorithm significantly enhances the stability and reliability of spot detection, providing key technical support for high-precision laser guidance.
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基本信息:
DOI：
中图分类号:TJ95
引用信息:
[1]占力,崔雨勇,姜超,等.融合重排维格纳-威利分布与时频峰值编码的光斑检测技术[J].中国测试,2025,51(11):40-47.
基金信息: