The time-domain reflectometry signal is susceptible to noise. The reflected wave de-noising techniques based on wavelet analysis is studied. The selection of optimal decomposition level is a key technology of wavelet de-noising. The level determination function is built to indicate the optimal decomposition level. A new adaptive de-noising method for time-domain reflectometry based on wavelet analysis is developed. The method is capable to adaptively choose the optimal decomposition level to achieve the optimal noise elimination effect. The simulation results and engineering application verify that the method can significantly improve the measuring accuracy of the time-domain reflectometry cable length measurement system.
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