Application of Wavelet Neural Network to Radar Signal Sorting
Zhai Wei-jun · Radar Science and Technology · 2004
An efficient method of radar signal sorting based on wavelet neural network is proposed in this paper. Firstly, the traditional histogram classification is applied to sort coarsely pulse stream signal, the wavelet neural network and pattern matching are then combined to implement signal subdivision. The simulation results show that the method proposed has better sorting performance for the pulse stream signal with noise.