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Neural network approach to blindestimation of PN spreading sequence in lower SNR DS/SS signals 被引量:6
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作者 Zhang Tianqi Lin Xiaokang Zhou Zhengzhong 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2005年第4期756-760,共5页
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 extr... 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. 展开更多
关键词 discrete Karhunen-Loeve transformation neural networks direct sequence spread spectrum (DS/ss signal PN sequence.
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