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Neural network approach to blind-estimation of PN spreading sequence in lower SNR DS/SS signals

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3 Author(s)
Zhang Tianqi ; Graduate School at Shenzhen, Tsinghua Univ., Shenzhen 518055, P. R. China ; Lin Xiaokang ; Zhou Zhengzhong

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.

Published in:

Journal of Systems Engineering and Electronics  (Volume:16 ,  Issue: 4 )