Abstract
The measuring accuracy of the TDR cable length measurement system relies on the recognition of the reflected wave. The reflected wave is susceptible to be affected by noise and the reflected wave detecting error is comparatively large. In order to correctly identifying and detecting the reflected wave, this dissertation studies four reflected wave recognition algorithms, which are established according to the threshold method, centroid method, polynomial fitting method and the wavelet modulus maxima method respectively. The advantages and disadvantages of these algorithms are analyzed. The repeatability and accuracies of the reflected wave arrival time for these algorithms are compared through practical applications.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Song, J., Zhang, G., Sun, P., Feng, N., Xu, S. (2012). Study on the Recognition Algorithms for TDR Reflected Wave. In: Jin, D., Lin, S. (eds) Advances in Future Computer and Control Systems. Advances in Intelligent and Soft Computing, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29390-0_47
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DOI: https://doi.org/10.1007/978-3-642-29390-0_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29389-4
Online ISBN: 978-3-642-29390-0
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