The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Detectores não coerentes para uso na aquisição de sinais de espectro espalhado de sequência direta (DS/SS) modulados por dados são considerados neste artigo. Levando em consideração a modulação de dados e a incerteza temporal e usando as abordagens de detecção de máxima verossimilhança generalizada (GML) ou máxima verossimilhança (ML), derivamos detectores ótimos no sentido de Bayes ou Neyman-Pearson e propomos vários detectores subótimos. Um meio sistemático simples para sua realização é sugerido e o desempenho numérico destes detectores é apresentado. Também comparamos seu desempenho com o do detector de combinação não coerente (NC1) que foi proposto para atender à mesma necessidade. Os resultados numéricos mostram que mesmo os detectores subótimos propostos podem superar o detector NC1 na maioria dos casos de interesse.
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Ru-Chwen WU, Yu Ted SU, Wen-Chang LIN, "Noncoherent Detectors for PN Code Acquisition in the Presence of Data Modulation" in IEICE TRANSACTIONS on Communications,
vol. E83-B, no. 11, pp. 2455-2463, November 2000, doi: .
Abstract: Noncoherent detectors for use in acquiring data-modulated direct-sequence spread-spectrum (DS/SS) signals are considered in this paper. Taking data modulation and timing uncertainty into account and using the generalized maximum likelihood (GML) or maximum likelihood (ML) detection approaches, we derive optimal detectors in the sense of Bayes or Neyman-Pearson and propose various suboptimal detectors. A simple systematic means for their realization is suggested and the numerical performance of these detectors is presented. We also compare their performance with that of the noncoherent combining (NC1) detector that had been proposed to serve the same need. Numerical results show that even the proposed suboptimal detectors can outperform the NC1 detector in most cases of interest.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e83-b_11_2455/_p
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@ARTICLE{e83-b_11_2455,
author={Ru-Chwen WU, Yu Ted SU, Wen-Chang LIN, },
journal={IEICE TRANSACTIONS on Communications},
title={Noncoherent Detectors for PN Code Acquisition in the Presence of Data Modulation},
year={2000},
volume={E83-B},
number={11},
pages={2455-2463},
abstract={Noncoherent detectors for use in acquiring data-modulated direct-sequence spread-spectrum (DS/SS) signals are considered in this paper. Taking data modulation and timing uncertainty into account and using the generalized maximum likelihood (GML) or maximum likelihood (ML) detection approaches, we derive optimal detectors in the sense of Bayes or Neyman-Pearson and propose various suboptimal detectors. A simple systematic means for their realization is suggested and the numerical performance of these detectors is presented. We also compare their performance with that of the noncoherent combining (NC1) detector that had been proposed to serve the same need. Numerical results show that even the proposed suboptimal detectors can outperform the NC1 detector in most cases of interest.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - Noncoherent Detectors for PN Code Acquisition in the Presence of Data Modulation
T2 - IEICE TRANSACTIONS on Communications
SP - 2455
EP - 2463
AU - Ru-Chwen WU
AU - Yu Ted SU
AU - Wen-Chang LIN
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E83-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2000
AB - Noncoherent detectors for use in acquiring data-modulated direct-sequence spread-spectrum (DS/SS) signals are considered in this paper. Taking data modulation and timing uncertainty into account and using the generalized maximum likelihood (GML) or maximum likelihood (ML) detection approaches, we derive optimal detectors in the sense of Bayes or Neyman-Pearson and propose various suboptimal detectors. A simple systematic means for their realization is suggested and the numerical performance of these detectors is presented. We also compare their performance with that of the noncoherent combining (NC1) detector that had been proposed to serve the same need. Numerical results show that even the proposed suboptimal detectors can outperform the NC1 detector in most cases of interest.
ER -