Abstract
Traveling wave propagation velocity is the key to the measuring accuracy of the time-domain reflectometry cable length measurement system. The accurate velocity value is difficult to be decided because it is vulnerable to many factors. The TDR cable length measurement model based on neural network is established in order to reduce the impact of velocity on the measuring accuracy of the TDR cable length measurement system. The model does not require a direct definition of velocity. Experimental results show that the model can reduce the velocity impact on measuring accuracy of the TDR cable length measurement system and improve the measuring accuracy of the system.
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Song, J., Yu, Y., Chen, L. (2011). TDR Cable Length Measurement Model Based on Neural Network. In: Shen, G., Huang, X. (eds) Advanced Research on Electronic Commerce, Web Application, and Communication. ECWAC 2011. Communications in Computer and Information Science, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20370-1_23
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DOI: https://doi.org/10.1007/978-3-642-20370-1_23
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