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Journal ArticleDOI

Iterative demapping for QPSK modulation

S. ten Brink, +2 more
- 23 Jul 1998 - 
- Vol. 34, Iss: 15, pp 1459-1460
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TLDR
In this paper, an iterative decoding scheme for quadrature phase shift keying (QPSK) modulation with anti-gray mapping is presented, where a soft demapper accepting a priori information and a convolutional decoder are applied in a serial concatenation.
Abstract
The authors present an iterative decoding scheme which is particularly suited for quadrature phase shift keying (QPSK) modulation with anti-Gray mapping. At the receiver, a soft demapper accepting a priori information and a convolutional decoder are applied in a serial concatenation. Numerical results are presented for QPSK in additive white Gaussian noise and Rayleigh-fading channels. The iterated system applying anti-Gray mapping outperforms the conventional system using Gray mapping after only one iteration.

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Citations
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TL;DR: The theoretical foundations of BICM are reviewed under the unified framework of error exponents for mismatched decoding, which allows an accurate analysis without any particular assumptions on the length of the interleaver or independence between the multiple bits in a symbol.
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Convergence of iterative decoding

TL;DR: A novel method for visualising the convergence behaviour of iterative decoding schemes is proposed, which describes the flow of extrinsic information through the soft in/soft out decoder.
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Iterative demapping and decoding for multilevel modulation

TL;DR: It is shown how iterative demapping reduces the bit error rate in conventional communication systems applying multilevel modulation combined with simple channel coding.
References
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Proceedings ArticleDOI

Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1

TL;DR: In this article, a new class of convolutional codes called turbo-codes, whose performances in terms of bit error rate (BER) are close to the Shannon limit, is discussed.
Proceedings ArticleDOI

A comparison of optimal and sub-optimal MAP decoding algorithms operating in the log domain

TL;DR: A log- MAP algorithm is presented that avoids the approximations in the max-log-MAP algorithm and hence is equivalent to the true MAP, but without its major disadvantages, and it is concluded that the three algorithms increase in complexity in the order of their optimality.
Journal ArticleDOI

Iterative correction of intersymbol interference: Turbo‐equalization

TL;DR: The results obtained show that turbo-equalization manages to overcome multipath effects, totally on Gauss channels, and partially but still satisfactorily on Rayleigh channels.
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