TY - GEN
T1 - Generalized cross correlation time delay estimation based on improved wavelet threshold function
AU - Ye, Dong
AU - Lu, Jing Yi
AU - Zhu, Xia Jie
AU - Lin, Hong
PY - 2016/12/5
Y1 - 2016/12/5
N2 - Usually the acoustic has non-stationary and low signal to noise ratio characteristics, which will reduce the accuracy of time delay estimation. In order to resolute this problem and improve the accuracy of time delay estimation. In this paper a novel wavelet denoising algorithm and Generalized Cross Correlation (GCC) algorithm are combined to improve the accuracy of the traditional time delay estimation methods. First, this paper studies the wavelet threshold denoising principle and the structure of the traditional threshold functions, puts forward the improved wavelet threshold function. Second, according to the function curve of the denoising performance analysis, the theoretical analysis shows that it improves the problem of constant bias in soft threshold function and hard threshold function inconsistent problem. The experimental results show that the output signal to noise ratio of the signal is improved by using the improved wavelet threshold function, which can effectively restrain the noise of the signal. Then the improved wavelet threshold function and the GCC are combined to propose a GCC time delay estimation method based on the improved wavelet threshold function. Simulation results show the proposed method in this paper can effectively suppress noise and reduce the fluctuation of generalized cross correlation function and make the peak more sharp, so that time delay estimation is more accurate.
AB - Usually the acoustic has non-stationary and low signal to noise ratio characteristics, which will reduce the accuracy of time delay estimation. In order to resolute this problem and improve the accuracy of time delay estimation. In this paper a novel wavelet denoising algorithm and Generalized Cross Correlation (GCC) algorithm are combined to improve the accuracy of the traditional time delay estimation methods. First, this paper studies the wavelet threshold denoising principle and the structure of the traditional threshold functions, puts forward the improved wavelet threshold function. Second, according to the function curve of the denoising performance analysis, the theoretical analysis shows that it improves the problem of constant bias in soft threshold function and hard threshold function inconsistent problem. The experimental results show that the output signal to noise ratio of the signal is improved by using the improved wavelet threshold function, which can effectively restrain the noise of the signal. Then the improved wavelet threshold function and the GCC are combined to propose a GCC time delay estimation method based on the improved wavelet threshold function. Simulation results show the proposed method in this paper can effectively suppress noise and reduce the fluctuation of generalized cross correlation function and make the peak more sharp, so that time delay estimation is more accurate.
KW - Generalized cross correlation
KW - Imprpved threshold function
KW - Time delay estimation
KW - Wavelet denoising
UR - https://www.scopus.com/pages/publications/85010471664
U2 - 10.1109/IMCCC.2016.72
DO - 10.1109/IMCCC.2016.72
M3 - 会议稿件
AN - SCOPUS:85010471664
T3 - Proceedings - 2016 6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016
SP - 629
EP - 633
BT - Proceedings - 2016 6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016
A2 - Li, Junbao
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016
Y2 - 21 July 2016 through 23 July 2016
ER -