Convolutional coding based iterative detection algorithm for DFT-S-GMC systems

A new iterative detection method for discrete Fourier transform spread generalized multi-carrier (DFT-S-GMC) system was proposed. Based on the frequency-domain transceiver structure of DFT-S-GMC system, the linear minimum mean-square error (LMMSE) estimation was performed, which was characterized by...

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Vydané v:Tongxin Xuebao Ročník 32; číslo 3; s. 33 - 39
Hlavní autori: Rui, Yun, Tang, Si-Liang, Li, Ming-Qi, Luo, Yin-Hui
Médium: Journal Article
Jazyk:Chinese
Vydavateľské údaje: 01.03.2011
Predmet:
Decoders
Fourier transforms
Likelihood ratio
Probability density functions
Receivers
Spreads
Transceivers
ISSN:1000-436X
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Shrnutí:A new iterative detection method for discrete Fourier transform spread generalized multi-carrier (DFT-S-GMC) system was proposed. Based on the frequency-domain transceiver structure of DFT-S-GMC system, the linear minimum mean-square error (LMMSE) estimation was performed, which was characterized by the posterior mean and variance. Then, the log likelihood ratio (LLR) information is transferred between detector and decoder according to the probability density function (PDF) of the transmitted symbols. Simulation results show that based on the convolutional decoder, the performance of proposed iterative receiver is much better than the traditional, no-iterative receiver. Moreover, it outperforms the no-iterative receiver based on the Turbo decoder, while its complexity is greatly reduced.
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ISSN:1000-436X