电子科技 ›› 2019, Vol. 32 ›› Issue (8): 46-50.doi: 10.16180/j.cnki.issn1007-7820.2019.08.010

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一种基于幅值加权的互相关时延估计新方法

张宇,严天峰,许富馨,李帅,郑礼   

  1. 兰州交通大学 电子与信息工程学院,甘肃 兰州 730070
  • 收稿日期:2018-08-05 出版日期:2019-08-15 发布日期:2019-08-12
  • 作者简介:张宇(1994-),男,硕士研究生。研究方向:无线电测向、无源测向技术。|严天峰(1970-),男,教授。研究方向:数字信号处理,软件无线电。
  • 基金资助:
    甘肃省自然科学基金(1508RJZA071);甘肃省无线电监测定位创新团队(2017C-09);兰州交通大学校青年基金(2018003)

A New Method Based on Amplitude Weighted Cross-correlation Time Delay Estimation

ZHANG Yu,YAN Tianfeng,XU Fuxin,LI Shuai,ZHENG Li   

  1. School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China
  • Received:2018-08-05 Online:2019-08-15 Published:2019-08-12
  • Supported by:
    Natural Science Foundation of Gansu(1508RJZA071);Radio Monitoring and Positioning Innovation Team of Gansu(2017C-09);Lanzhou Jiaotong University Youth Fund(2018003)

摘要:

针对无源时差定位中的互相关法时延估计在低信噪比条件下准确度低的问题,文中提出了一种新的幅值加权方法对互相关法进行改进。幅值加权是利用输入信号的幅频特性扩大互相关功率谱函数信号频点处的幅值,相对弱化信号频点外的功率谱小尖峰的影响,近似满足准确估计时延值所需的理想的互相关功率谱条件,进而提高时延估计的准确度。实验仿真表明,在信噪比较低时,与传统互相关法相比,采用幅值加权的互相关法能够更为准确地计算出时延值。该方法对时延估计研究具有一定参考价值。

关键词: 时延估计, 信噪比, 功率谱函数, 幅值加权, 互相关, 估值准确度

Abstract:

A new amplitude weighting method was proposed to improve the cross correlation method for time delay estimation in passive TDOA location. Amplitude weighting used the amplitude-frequency characteristic of the input signal to amplify the amplitude at the frequency of the cross-correlation power spectrum function signal, and relatively weakened the influence of the small peak of the power spectrum outside the signal frequency point, thereby approximating the ideal cross-correlation power spectrum conditions for accurate estimation of the delay value, which further improved the accuracy of time delay estimation. The simulation results showed that the amplitude weighted cross correlation method could calculate the time delay more accurately than the traditional cross correlation method when the signal-to-noise ratio was low. This method had a certain reference value for the research of time delay estimation.

Key words: time delay estimation, signal to noise ratio, power spectrum function, amplitude weighted, cross-correlation, estimation accuracy

中图分类号: 

  • TN911