Blind Estimation of the PN Sequence in Lower SNR DS/SS Signals

Tianqi ZHANG; Xiaokang LIN; Zhengzhong ZHOU

doi:10.1093/ietcom/e88-b.7.3087

Blind Estimation of the PN Sequence in Lower SNR DS/SS Signals

Tianqi ZHANG, Xiaokang LIN, Zhengzhong ZHOU

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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.

Publication: IEICE TRANSACTIONS on Communications Vol.E88-B No.7 pp.3087-3089

Publication Date: 2005/07/01

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DOI: 10.1093/ietcom/e88-b.7.3087

Type of Manuscript: LETTER

Category: Wireless Communication Technologies

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Tianqi ZHANG, Xiaokang LIN, Zhengzhong ZHOU, "Blind Estimation of the PN Sequence in Lower SNR DS/SS Signals" in IEICE TRANSACTIONS on Communications, vol. E88-B, no. 7, pp. 3087-3089, July 2005, doi: 10.1093/ietcom/e88-b.7.3087.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.7.3087/_p

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@ARTICLE{e88-b_7_3087,
author={Tianqi ZHANG, Xiaokang LIN, Zhengzhong ZHOU, },
journal={IEICE TRANSACTIONS on Communications},
title={Blind Estimation of the PN Sequence in Lower SNR DS/SS Signals},
year={2005},
volume={E88-B},
number={7},
pages={3087-3089},
abstract={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.},
keywords={},
doi={10.1093/ietcom/e88-b.7.3087},
ISSN={},
month={July},}

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TY - JOUR
TI - Blind Estimation of the PN Sequence in Lower SNR DS/SS Signals
T2 - IEICE TRANSACTIONS on Communications
SP - 3087
EP - 3089
AU - Tianqi ZHANG
AU - Xiaokang LIN
AU - Zhengzhong ZHOU
PY - 2005
DO - 10.1093/ietcom/e88-b.7.3087
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2005
AB - 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.
ER -