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Blind Estimation of the PN Sequence in Lower SNR DS/SS Signals
Tianqi ZHANG Xiaokang LIN Zhengzhong ZHOU
IEICE TRANSACTIONS on Communications
Publication Date: 2005/07/01
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Wireless Communication Technologies
DS/SS signal, PN sequence, blind estimation, principal eigenvector,
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An approach based on signal subspace analysis is proposed to blind estimation of the PN (Pseudo Noise) sequence from lower SNR (Signal to Noise Ratios) DS/SS (Direct Sequence Spread Spectrum) signals. The received signal is divided into vectors according to a temporal window, from which an autocorrelation matrix is computed and accumulated. The PN sequence can be reconstructed from principal eigenvectors of the matrix.