• Joint iterative channel estima...

Treffer: Joint iterative channel estimation and decoding for bit-interleaved coded modulation over correlated fading channels

Title:
Joint iterative channel estimation and decoding for bit-interleaved coded modulation over correlated fading channels
Authors:
YUHENG HUANG, RITCEY, James A
Source:
IEEE transactions on wireless communications. 4(5):2549-2558
Publisher Information:
Piscataway, NJ: Institute of Electrical and Electronics Engineers, 2005.
Publication Year:
2005
Physical Description:
print, 22 ref
Original Material:
INIST-CNRS
Subject Terms:
Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Télécommunications, Telecommunications, Systèmes, réseaux et services de télécommunications, Systems, networks and services of telecommunications, Transmission et modulation (techniques et équipements), Transmission and modulation (techniques and equipments), Algorithme, Algorithm, Algoritmo, Canal évanouissement, Fading channels, Code imbriqué, Interleaved codes, Coefficient corrélation, Correlation coefficient, Coeficiente correlación, Comportement asymptotique, Asymptotic behavior, Comportamiento asintótico, Décodage itératif, Iterative decoding, Erreur estimation, Estimation error, Error estimación, Erreur transmission, Transmission error, Error transmisión, Estimation canal, Channel estimation, Estimación canal, Estimation erreur, Error estimation, Estimación error, Estimation paramètre, Parameter estimation, Estimación parámetro, Evanouissement, Fading, Desvanecimiento, Fréquence intermédiaire, Intermediate frequency, Frecuencia intermediaria, Modulation, Modulación, Multiplexage spatial, Spatial multiplexing, Multiplaje espacial, Méthode analytique, Analytical method, Método analítico, Méthode itérative, Iterative method, Método iterativo, Performance algorithme, Algorithm performance, Resultado algoritmo, Propagation erreur, Growth of error, Propagación error, Simulation, Simulación, Surmodulation, Overmodulation, Sobremodulación, Taux erreur bit, Bit error rate, Tasa error bit, Bit-interleaved coded modulation (BICM), bit- interleaved coded modulation with iterative decoding (BICM-ID), channel state information (CSI), fading, joint channel estimation and decoding, pilot symbol-assisted modulation (PSAM)
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical Engineering, University of Washington, Seattle, WA 98195, United States
Qualcomm Inc, San Diego, CA 92121, United States
ISSN:
1536-1276
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=17351494
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.17351494
Database:
PASCAL Archive

Weitere Informationen

We design and evaluate a novel and highly efficient algorithm, named sparsely interleaved estimation and decoding (SIED), for joint iterative channel estimation and decoding for bit-interleaved coded modulation (BICM) over flat correlated fading channels. In SIED, in order to effectively prevent error propagation, the decoding proceeds until the current decoder stage converges, and only then feeds back the best achievable decoding results to refine channel estimates. The on-line convergence is detected through the soft decoding metrics (SDMs). Further, we provide a unified analytic framework for both the choice of filter length and an asymptotic bit error rate (BER) analysis, where the key parameter is the power correlation coefficient between the fading and its estimate. Simulation results verify that our SIED algorithm can successfully break the barrier of the channel estimation error caused by conventional pilot symbol-assisted modulation (PSAM), and lead the BER to approach the ideal asymptotic performance. Compared to the classical iteratively filtered PSAM (IF-PSAM) algorithm, our proposed SIED algorithm has more than 0.5-dB improvement in Eb/No for the normalized fade rate fdTs = 0.05 with much lower complexity.