A Neural Network Approach to Blind Estimation of PN Spreading Sequence in DS/SS Signals
Tianqi Zhang, Zhengzhong Zhou · Journal of Electronic Science and Technology · 2004
In this paper, a new approach is proposed to estimate pseudo noise(PN) sequence in the lower SNR DS/SS signals blindly. This method utilizes the characteristics of self-organization, principal components analysis and extraction of unsupervised neural networks adequately, in addition to its higher-speed operation ability, successfully solve the difficult problem about PN sequence blind estimation. The theoretic analysis and experimental results show that this approach can work very well on lower SNR input signals.