Abstract
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.
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Acknowledgments
The work is supported by the National Natural Science Foundation of China (60772054) and the Specialized Research Fund for the Doctoral Program of Higher Education of China (20102102110003).
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Yan, H., Zhang, Y., Yang, Q. (2013). Time-Delay Estimation Based on Cross-Correlation and Wavelet Denoising. In: Sun, Z., Deng, Z. (eds) Proceedings of 2013 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 255. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38460-8_93
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DOI: https://doi.org/10.1007/978-3-642-38460-8_93
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