Abstract
In order to solve the difficult problem on wavelet basis selection for the processing and analysis of GPR signal, the characteristics of GPR signal are analyzed in detail, On basis of this, firstly the paper discusses the criterion of wavelet basis selection in theory. Then we compare and distinguish in experiments, and if we want to assurance the accuracy of the signal reconstruction and enhance the ability of processing signal we should select a different wavelet basis in decomposition and reconstruction of wavelet transform individually, and breaking through the way that selects a same wavelet basis to process signal conventionally. Finally through processing the field data we present the wavelet basis of bior 2. 6 that has a best effect in processing the GPR signal. It not only eliminates the noise thoroughly, but also preserves high frequency signal of effective wave, and raises the signal/noise ratio and resolution of GPR signal. Meanwhile it is a good foundation for subsequent interpretive work.
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