Iterative LMMSE channel estimation and decoding based on probabilistic bias

IEEE Transactions on Communications

Volumn 61, Issue 7, 2013, Pages 2853-2863

  Takeuchi, Keigo ^a   Müller, Ralf R ^b,d   Vehkapera, Mikko ^c  

^a UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

^b UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^c ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^d NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

Belief propagation; Biased convolutional codes; Density evolution; Iterative decoding; Linear minimum mean squared error (LMMSE) channel estimation

Indexed keywords

BELIEF PROPAGATION; CONVERGENCE PROPERTIES; DENSITY EVOLUTION; ITERATIVE CHANNEL ESTIMATION; LINEAR MINIMUM MEAN-SQUARED ERRORS; LMMSE CHANNEL ESTIMATION; PERFORMANCE DEGRADATION; SIGNALTONOISE RATIO (SNR);

CONVOLUTIONAL CODES; MEAN SQUARE ERROR; SIGNAL TO NOISE RATIO; TURBO CODES;

ITERATIVE DECODING;

EID: 84881134098     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCOMM.2013.053013.120919     Document Type: Article

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