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

Zhang、Tianqi、Lin -、Xiao-kang、Zhou、Zhengzhong

2005Acta Scientiarum Naturalium Universitatis SunyatseniComputer Science被引 1

摘要

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.

引用本文（GB/T 7714）

Zhang, Tianqi, Lin -, 等. Neural network approach to blind-estimation of PN spreading sequence in lower SNR DS/SS signals[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2005.

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