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基于Duffing振子的机场异物自动判决算法

钟俊 邢萌 刘星 曾琦

钟俊, 邢萌, 刘星, 曾琦. 基于Duffing振子的机场异物自动判决算法[J]. 电子与信息学报.
引用本文: 钟俊, 邢萌, 刘星, 曾琦. 基于Duffing振子的机场异物自动判决算法[J]. 电子与信息学报.
Jun ZHONG, Meng XING, Xing LIU, Qi ZENG. An Automatic Decision Algorithm forForeign Objects Debris Based on Duffing Oscillator[J]. Journal of Electronics and Information Technology.
Citation: Jun ZHONG, Meng XING, Xing LIU, Qi ZENG. An Automatic Decision Algorithm forForeign Objects Debris Based on Duffing Oscillator[J]. Journal of Electronics and Information Technology.

基于Duffing振子的机场异物自动判决算法

基金项目: 国家自然科学基金(61901288)
详细信息
    作者简介:

    钟俊:男,1972生,博士,副教授,研究方向为信号与信息处理、嵌入式系统等

    邢萌:女,1997生,硕士生,研究方向为信号与信息处理,雷达信号处理等

    刘星:男,1986年生,博士,助理研究员,研究方向为序列设计及编码理论等

    曾琦:男,1982年生,博士,副教授,研究方向为无线通信系统,信号检测与处理等

    通讯作者:

    刘星 liuxing4@126.com

  • 中图分类号: TN957.51

An Automatic Decision Algorithm forForeign Objects Debris Based on Duffing Oscillator

Funds: The National Natural Science Fundation of China (61901288)
  • 摘要: 基于毫米波雷达的机场异物(FOD)检测技术具有高分辨率和低功耗的特点,但是传统恒虚警(CFAR)类检测算法在低信杂比(SCR)情况下虚警过高。该文提出一种基于Duffing振子的FOD检测算法。该算法首先利用杂波图CFAR检测算法将雷达接收机接收回波中的背景杂波初步分离,获得目标(包含虚警)的距离信息,并利用该信息构造Duffing方程,之后将此方程作为系统检测模型,输入接收回波信号,求解输出信号方差,采用方差极值法区分目标和虚警。仿真结果表明,在低信杂比情况下,即使虚警概率为10–3,该文检测算法也可以降低虚警率,实现目标与虚警的自动判决。与传统CFAR检测算法相比,该算法的检测概率高于传统检测算法且随信杂比的下降减小速度缓慢,即使在信杂比–30 dB的情况下所提算法仍然可以保持84%的检测概率。
  • 图  1  输入信号频率与输出信号方差分布关系图

    图  2  基于Duffing振子的FOD与虚警目标自动判决算法流程图

    图  3  CFAR+Duffing算法在均匀杂波环境的仿真结果

    图  4  CFAR+Duffing算法在非均匀杂波环境的仿真结果

    图  5  测试现场及雷达系统

    图  6  杂波图CFAR预处理之前实测数据

    图  7  杂波图CFAR预处理之后实测数据

    图  8  实测数据处理结果

    图  9  检测性能对比

    表  1  LFMCW雷达检测系统参数.

    参数名称参数值参数名称参数值
    带宽1.5 GHz天线增益20 dBi
    调频周期128 us水平波束宽度1.9°
    累计时间60 ms垂直波束宽度
    脉冲累计数468方位角波束宽度120°
    最远探测距离70 m向下波束宽度28°
    距离分辨率0.1 m角距12°/s
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-12-14
  • 修回日期:  2021-03-12
  • 网络出版日期:  2021-03-24

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