电子科技 ›› 2021, Vol. 34 ›› Issue (4): 6-11.doi: 10.16180/j.cnki.issn1007-7820.2021.04.002

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基于HAF的混叠多分量LFM信号时域参数测量

吴贞宇,夏厚培   

  1. 中国船舶重工集团公司 第七二四研究所,江苏 南京 211106
  • 收稿日期:2019-12-27 出版日期:2021-04-15 发布日期:2021-04-16
  • 作者简介:吴贞宇(1995-),男,硕士研究生。研究方向:混叠信号分离。|夏厚培(1963-),男,研究员。研究方向:雷达总体设计、多功能雷达信息处理。
  • 基金资助:
    装备预研基金(6140137050204)

Time Domain Parameter Measurement of Aliased Multi-Component LFM Signals Based on HAF

WU Zhenyu,XIA Houpei   

  1. No.724 Research Institute, CSIC,Nanjing 211106,China
  • Received:2019-12-27 Online:2021-04-15 Published:2021-04-16
  • Supported by:
    Equipment Pre-Research Fund(6140137050204)

摘要:

针对基于HAF的混叠脉冲雷达信号参数测量方法不能有效测量信号时域参数的问题,文中提出了一种基于HAF的混叠多分量LFM信号时域参数测量方法。该方法利用HAF方法得到的相位系数估值,分别将每个LFM信号分量转变为一个与之时域参数相同的单频信号分量。通过滤波分离出单频信号分量并选取合适的门限来测量其时域参数,实现对混叠LFM信号各分量的时域参数测量。实验结果表明,该方法能够有效测量信号时域参数,再结合HAF方法的结果就可以完整实现混叠LFM信号参数测量。文中方法运算复杂度较低,测量结果精度较高,在信噪比为3 dB的条件下测量误差不超过1%。

关键词: 信号检测, 雷达信号, 混叠, 多分量, 线性调频, 多项式相位信号, 高阶模糊函数, 参数估计

Abstract:

In view of the problem that the aliasing pulse radar signal parameter measurement method based on HAF could not effectively measure the signal time-domain parameters, this study proposes a time-domain parameter measurement method of aliasing multi-component LFM signal based on HAF. The proposed method uses the phase coefficient estimates obtained by the HAF method to convert each LFM signal component into a single frequency signal component with the same time domain parameters. The single frequency signal component is separated by filtering and a suitable threshold is selected to measure the time domain parameters, so as to realize the time domain parameter measurement of each component of the aliased LFM signal. The experimental results show that this method can effectively measure the time-domain parameters of the signals, and then combined with the results of HAF method, the parameters of the LFM signal can be measured completely. The proposed method has low computational complexity and high accuracy of measurement results, and the measurement error is less than 1% when the signal-to-noise ratio is 3 dB.

Key words: signal detection, radar signal, aliasing, multi-component, linear frequency modulation, polynomial phase signal, high-order ambiguity function, parameter estimation

中图分类号: 

  • TN971. +1