Anomalous propagation echo belongs to representative non-precipitation echoes which have very similar characteristics of precipitation echoes. It occurs due to superrefraction or ducting phenomenon of radar beam by temperature or humidity. There are a lot of ongoing researches about detecting and removing the anomalous propagation echo in radar data in order to improve accuracy of data analysis. This paper suggests a detection method with artificial neural network for separating the anomalous propagation echo from radar data, which uses discrete wavelet transform in order to extract characteristics of the anomalous propagation echo. The result derives that artificial neural network with discrete wavelet transform shows good performances.
anomalous propagation;;neural network;;discrete wavelet transform
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