RADAR OBJECT RECOGNITION BY WAVELET TRANSFORM

摘要

This paper presents method of radar object recognition by wavelet transform and neural network. Analyzing range profiles by wavelet transform can show information about tracking object more clearly. It also gives a method of constructing feature vector for automatic recognition, which can make the dimension of feature vector be much smaller than dimension of primitive echo signal. A three-layer backpropagation neural network is used as recognizer. This problem is aimed to radar systems with the duration of transmitted pulses longer than size of object.