PN code acquisition detection for CDMA networks based on wavelet transform and artificial neural network

In this paper, a novel coarse acquisition method based on wavelet transform (WT) and artificial neural network (ANN) is proposed in order to increase the detection probability of the code acquisition system. In the proposed scheme, the transient behaviors of the input signal are extracted and the characteristic parameters, signal power and phase, are acquired by WT. By means of these characteristic parameters, a template matching is performed in the artificial neural network for identification. Simulation results show a dramatic reduction in the false alarm and miss detection rate when synchronization is acquired through using the proposed scheme, compared to the traditional pure energy accumulation synchronization method.