Efficient computation of symbol statistics from bit a priori information in turbo receivers

In this paper, an efficient computational scheme is proposed to calculate the symbol mean and variance from bit a priori information, when a so-called multilinear mapping is employed. The multilinear mapping is exploited to reduce the number of the terms needed for the calculation of the symbol mean...

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Veröffentlicht in:	IEEE transactions on communications 2009-07, Vol.57 (7), p.1889-1891
Hauptverfasser:	Jianfeng Liu, Vanhaute, H., Moonen, M., Bourdoux, A., Man, H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Coding, codes Computation Computational efficiency Decoding Detection, estimation, filtering, equalization, prediction Detectors Equalizers Exact sciences and technology Information, signal and communications theory Interference cancellation iterative detection Mapping Mathematical analysis Mean square error methods MIMO MMSE Multiuser detection Probability Receivers Signal and communications theory Signal, noise Statistics Symbols Telecommunications and information theory turbo receivers Variance
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Beschreibung
Zusammenfassung:	In this paper, an efficient computational scheme is proposed to calculate the symbol mean and variance from bit a priori information, when a so-called multilinear mapping is employed. The multilinear mapping is exploited to reduce the number of the terms needed for the calculation of the symbol mean and variance.
ISSN:	0090-6778 1558-0857
DOI:	10.1109/TCOMM.2009.07.050241