Trial of Real Rainfall Detection by Digital Signal Processing from Turbulence of Electric Field Around Leaky Coaxial Cable

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Outdoor experiments were conducted to detect the torrential rain from the signal of LCX(Leaky Coaxial Cables). The received signal was contaminated by high-frequency and high-intensity noise, thus, we removed the high frequency components using discrete wavelet transform, and could extract the low frequency components of the discontinuous points due to the heavy rain. Because the discontinuous points originating in external noise were also extracted simultaneously, we built an algorism which eliminatesunnecessary discontinuous points. The algorithm(Unnecessary Discontinuous Point Exclusion Algorithm) consists of three steps ; 1)"Detection of the large impulsive noise by the threshold-judge of the signal-fluctuation", 2)"Detection of the edges of the continuous noise by the Lipschitz-Holder index", and 3)"Detection of the small impulsive noise by the test of outliers using percentile". As a result of applying the algorithm to the signal-fluctuation, it was shown that heavy rain with 1 min rainfall intensity greater than 30mm/h is detectable.