Bias-based training for iterative channel estimation and data decoding in fast fading channels

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autor(en): Takeuchi K, Müller R, Vehkapera M
Zeitschrift: IEICE Transactions on Communications
Verlag: Institute of Electronics, Information and Communication Engineers
Jahr der Veröffentlichung: 2011
Heftnummer: 7
Seitenbereich: 2161-2165
ISSN: 0916-8516


Abstract


A novel signaling scheme is proposed for iterative channel estimation and data decoding in fast fading channels. The basic idea is to bias the occurrence probability of transmitted symbols. A priori information about the bias is utilized for channel estimation. The bias-based scheme is constructed as a serially concatenated code, in which a convolutional code and a biased nonlinear block code are used as the outer and inner codes, respectively. This construction allows the receiver to estimate channel state information (CSI) efficiently. The proposed scheme is numerically shown to outperform conventional pilot-based schemes in terms of spectral efficiency for moderately fast fading channels. Copyright © 2011 The Institute of Electronics, Information and Communication Engineers.



FAU-Autoren / FAU-Herausgeber

Müller, Ralf Prof. Dr.-Ing.
Professur für Informationsübertragung


Autor(en) der externen Einrichtung(en)
NTNU Trondheim - Norwegian University of Science and Technology
University of Electro-Communications / 電気通信大学 (Denki-Tsūshin Daigaku)


Zitierweisen

APA:
Takeuchi, K., Müller, R., & Vehkapera, M. (2011). Bias-based training for iterative channel estimation and data decoding in fast fading channels. IEICE Transactions on Communications, 7, 2161-2165. https://dx.doi.org/10.1587/transcom.E94.B.2161

MLA:
Takeuchi, Keigo, Ralf Müller, and Mikko Vehkapera. "Bias-based training for iterative channel estimation and data decoding in fast fading channels." IEICE Transactions on Communications 7 (2011): 2161-2165.

BibTeX: 

Zuletzt aktualisiert 2018-10-08 um 05:09