Algorithm of Alignment of Multi-Sensor Time Based on Wavelet and RBF Neural Network
Deng Ji · Technology and Economy in Areas of Communications · 2014
It proposed the use of wavelet reduces noise and RBF neural network for time alignment algorithm,first,this way can reduce the collected noise of data,as providing accurate data to next step; and then sampling period corresponds to the same point in time of different sensors collect data by RBF neural different networks,to the back data feature extraction and data fusion to provide high-precision data support by multi-sensor time alignment.The simulation results compared with other methods,the method computing is speeder,capacity of correcting data and higher accuracy,suitable for multi-sensor time alignment.