Time-Delay Estimation Based on Cross-Correlation and Wavelet Denoising

被引：3
|
作者：
Yan, Hua [1 ]
Zhang, Yepeng [1 ]
Yang, Qi [2 ]
机构：
[1] Shenyang Univ Technol, Sch Informat Sci & Engn, Shenyang, Liaoning, Peoples R China
[2] Coll Police & Justice, Liaoning Adm, Shenyang 110161, Liaoning, Peoples R China
来源：
PROCEEDINGS OF 2013 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT AUTOMATION & INTELLIGENT TECHNOLOGY AND SYSTEMS | 2013年 / 255卷
基金：
高等学校博士学科点专项科研基金; 中国国家自然科学基金;
关键词：
Time-delay estimation; Cross-correlation; Compromise threshold function; Wavelet denoising;
D O I：
10.1007/978-3-642-38460-8_93
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new time-delay estimation method based on the combination of wavelet transform and cross-correlation is proposed. This method uses compromise threshold function and Birge-Massart threshold selection strategy to denoise signals, and then determines the time-delay between the signals by computing the cross-correlation of the denoise signals. Comparative study of the new method, cross-correlation method and second correlation method were carried out. Results show that these three methods can give good time-delay estimations when the SNR is not low; however, only the new method can give good time-delay estimations if the SNR is very low and the noises are strongly correlated.
引用
收藏
页码：841 / 848
页数：8
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