基于多普勒效应的单声源速率测定算法研究

英文篇名：Velocity determination of single sound source based on Doppler effect
中文刊名：重庆邮电大学学报(自然科学版)
英文刊名：Journal of Chongqing University of Posts and Telecommunications(Natural Science)
作者：金文标 ; 游俊
英文作者：JIN Wen-biao ; YOU Jun(College of Computer Science and Technology ; Chongqing University of Posts and Telecommunications ; Chongqing 400065 ; P.R.China)
中文关键词：Hilbert变换 ; 瞬时频率 ; 经验模态分解 ; 最小二乘
英文关键词：Hilbert transform ; instantaneous frequency ; empirical mode decomposition(EMD) ; least square
出版日期：2007-12-15
机构：重庆邮电大学计算机科学与技术学院,重庆邮电大学计算机科学与技术学院重庆400065,重庆400065
年：2007
期：06
出版单位：重庆邮电大学学报(自然科学版)

摘要

应用多普勒效应原理,实现了对固定频率、匀速运动的单声源的速率测定。利用MATLAB拟合了固定传感器接收到的该声源运动时的声音信号,用Hilbert变换得到了该信号的瞬时频率,并以离散时间域的多普勒效应为目标函数,采用非线性最小二乘拟合得到其速率。算法采用小波分析及经验模态分解(EMD)方法分别对原始声音信号和瞬时频率进行去噪。实验结果表明,该算法精度较高,是一种可行的方法。
An algorithm is proposed for velocity determination of single moving sound source with uniform velocity and frequency.A synthesized sound signal is formed to simulate the moving sound source recorded by a fixed recorder,on which Hilbert transform is applied to obtain the instantaneous frequency of the sound signal.Utilizing the Doppler effect as a model to fit sampled instantaneous frequency by nonlinear least square,the velocity of a mobile can be obtained.Wavelet and empirical mode decomposition(EMD) are used to reduce the noise in the noisy sound signal and instantaneous frequency respectively. Experimental results show that this algorithm is accurate and feasible.

引文

[1]林仲扬.漫谈雷达测速仪[J].中国计量,2006,10(1)44-45.
    [2]陈平,李庆民,赵彤.瞬时频率估计算法研究进展综述[J].电测与仪表,2006,43(7):1-6.
    [3]张军华,吕宁,田连玉,等.地震资去噪方法、技术综合评述[J].地球物理学进展,2005,20(4):1 083-1 091.
    [4]武安绪,吴培稚,兰从欣,等.Hilbert-Huang变换与地震信号的时频分析[J].中国地震,2005,21(2):207-215.
    [5]钟佑明,秦树人,汤宝平.Hilbert-Huang变换中的理论研究[J].振动与冲击,2002,21(4):13-17.
    [6]何立志.希尔伯特-黄变换(HHT)及其在结构损伤识别中的应用[D].北京:北京工业大学,2006.
    [7]段生全,贺振华,黄德济.HHT方法及其在地震信号处理中的应用[J].成都理工大学学报(自然科学版),2005,32(4):396-400.
    [8]HUANG N E,SHEN Z,LONG S R,et al.The empiri-cal mode decomposition and the Hilbert spectrum fornonlinear and non-stationary Time series analysis[EB/OL].[2007-06-10].http://keck.ucsf.edu/~schenk/Huang_eta198.pdf.
    [9]BOUALEM B.Estimating and Interpreting the Instan-taneous Frequency of a Signal-Part 1:Fundamentals[J].PROCEEDINGS OF THE IEEE.1992,80(4):520-538.