Neural Network Approach to blind-estimation of PN Spreading Sequence in Lower SNR DS/SS Signals
Tianqi Zhang, Xiaokang Lin, Zhengzhong Zhou · Journal of Systems Engineering and Electronics · 2012
An approach based on discrete Karhunen-Loeve transformation of the DS/SS signals is proposed to estimate PN sequence in lower S/N ratio DS/SS signals. Characteristics of self-organization and principle components extraction of unsupervised neural networks are exploited adequately. Theoretical analysis and experimental results are provided to show that this approach can work well on the lower S/N ratio input signals.