A novel fast calculation algorithm (FCA) for calculating the decision metric of the multiple-symbol differential detection (MSDD) considering the autocorrelation of a received sequence is proposed. In correspondence to the star quadrature amplitude modulation (QAM), the M algorithm is adopted to MSDD over Rayleigh fading channels, in order to reduce the number of search paths. The computational complexity of the decision metric can be greatly reduced by the proposed FCA and the M algorithm. Through computer simulations, it is confirmed that the symbol error rate (SER) performance of the MSDD considering autocorrelation is closer to that of the ideal coherent detection as the length of an observed sequence becomes larger over Rayleigh fading channels.
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Shiro HANDA, Yusuke OKANO, Mingya LIU, Fumihito SASAMORI, Shinjiro OSHITA, "Fast Calculation Algorithm and Error Performance of Multiple-Symbol Differential Detection over Fading Channels" in IEICE TRANSACTIONS on Communications,
vol. E86-B, no. 3, pp. 1050-1056, March 2003, doi: .
Abstract: A novel fast calculation algorithm (FCA) for calculating the decision metric of the multiple-symbol differential detection (MSDD) considering the autocorrelation of a received sequence is proposed. In correspondence to the star quadrature amplitude modulation (QAM), the M algorithm is adopted to MSDD over Rayleigh fading channels, in order to reduce the number of search paths. The computational complexity of the decision metric can be greatly reduced by the proposed FCA and the M algorithm. Through computer simulations, it is confirmed that the symbol error rate (SER) performance of the MSDD considering autocorrelation is closer to that of the ideal coherent detection as the length of an observed sequence becomes larger over Rayleigh fading channels.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e86-b_3_1050/_p
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@ARTICLE{e86-b_3_1050,
author={Shiro HANDA, Yusuke OKANO, Mingya LIU, Fumihito SASAMORI, Shinjiro OSHITA, },
journal={IEICE TRANSACTIONS on Communications},
title={Fast Calculation Algorithm and Error Performance of Multiple-Symbol Differential Detection over Fading Channels},
year={2003},
volume={E86-B},
number={3},
pages={1050-1056},
abstract={A novel fast calculation algorithm (FCA) for calculating the decision metric of the multiple-symbol differential detection (MSDD) considering the autocorrelation of a received sequence is proposed. In correspondence to the star quadrature amplitude modulation (QAM), the M algorithm is adopted to MSDD over Rayleigh fading channels, in order to reduce the number of search paths. The computational complexity of the decision metric can be greatly reduced by the proposed FCA and the M algorithm. Through computer simulations, it is confirmed that the symbol error rate (SER) performance of the MSDD considering autocorrelation is closer to that of the ideal coherent detection as the length of an observed sequence becomes larger over Rayleigh fading channels.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - Fast Calculation Algorithm and Error Performance of Multiple-Symbol Differential Detection over Fading Channels
T2 - IEICE TRANSACTIONS on Communications
SP - 1050
EP - 1056
AU - Shiro HANDA
AU - Yusuke OKANO
AU - Mingya LIU
AU - Fumihito SASAMORI
AU - Shinjiro OSHITA
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E86-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2003
AB - A novel fast calculation algorithm (FCA) for calculating the decision metric of the multiple-symbol differential detection (MSDD) considering the autocorrelation of a received sequence is proposed. In correspondence to the star quadrature amplitude modulation (QAM), the M algorithm is adopted to MSDD over Rayleigh fading channels, in order to reduce the number of search paths. The computational complexity of the decision metric can be greatly reduced by the proposed FCA and the M algorithm. Through computer simulations, it is confirmed that the symbol error rate (SER) performance of the MSDD considering autocorrelation is closer to that of the ideal coherent detection as the length of an observed sequence becomes larger over Rayleigh fading channels.
ER -