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Blind Estimation of the PN Sequence in Lower SNR DS/SS Signals
Tianqi ZHANG Xiaokang LIN Zhengzhong ZHOU
Publication
IEICE TRANSACTIONS on Communications
Vol.E88-B
No.7
pp.3087-3089 Publication Date: 2005/07/01 Online ISSN:
DOI: 10.1093/ietcom/e88-b.7.3087 Print ISSN: 0916-8516 Type of Manuscript: LETTER Category: Wireless Communication Technologies Keyword: DS/SS signal, PN sequence, blind estimation, principal eigenvector,
Full Text: PDF(325.1KB)>>
Summary:
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.
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