Blind Estimation of Spreading Sequence Based on Neural Network by a Novel Information Criterion

To aim at the problem of blind estimation of low-SNR DS/SS signals spreading sequence, an approach is proposed to estimate the spreading sequence from DS/SS signals in this paper. The method is based on neural network by a novel information criterion. The theoretic analysis and computer simulation results show that this algorithm has much less computation and storage than EVD, and its performance is better than the primitive neural network algorithm.