The Research on Data-Fusion Methods Based on Wavelet Neural Network

The wavelet transform is introduced into pretreatments and feature extractions in the paper. The threshold value is determined according to the change of wavelet coefficients which can reduce noises and extract effective characteristic parameters. The neural net is used for fusion calculations, realizing the data fusion of multi-sensor. The simulation results show the feasibility and validity of the method.