A Systematic Framework for Iterative Maximum Likelihood Receiver Design

In this paper, we link the turbo principle to unconstrained maximum likelihood (ML) sequence detection and joint ML parameter estimation. First, we demonstrate for memoryless channels with complete channel state information how the turbo decoder can be systematically derived starting from the ML seq...

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Vydané v:	IEEE transactions on communications Ročník 58; číslo 7; s. 2035 - 2045
Hlavní autori:	Schmitt, Lars, Meyr, Heinrich
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.07.2010 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Approximation Channel state information Channels Concatenated codes Decoding Design engineering Equations Equivalence Fading Iterative algorithms Iterative decoding iterative receiver design Mathematical analysis Maximum likelihood decoding Maximum likelihood detection Maximum likelihood estimation Memoryless systems Parameter estimation Receivers soft-symbol estimation turbo decoding turbo estimation
ISSN:	0090-6778, 1558-0857
On-line prístup:	Získať plný text
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