DocumentCode :
539992
Title :
Code-aided iterative channel estimation for OFDM signals with non-binary LDPC codes
Author :
Bacci, Giacomo ; Maggiora, M.D. ; Luise, Marco
Author_Institution :
Wireless Syst. Eng. & Res. (WISER), Livorno, Italy
fYear :
2010
fDate :
16-18 June 2010
Firstpage :
1
Lastpage :
8
Abstract :
This work considers the problem of channel estimation in the context of non-binary-LDPC-coded OFDM transmission over doubly-selective multipath channels. The potential of channel encoding is exploited to derive an iterative Wiener-filter-based estimation method using both time and frequency autocorrelation of the channel. The proposed algorithm can use either the soft information or the hard decisions fed back by the non-binary LDPC decoder to refine the channel estimation, so as to improve the system performance at the expense of an increased receiver complexity. Simulation results under typical working conditions are presented to compare the performance of the proposed method with respect to classical techniques.
Keywords :
OFDM modulation; Wiener filters; channel coding; channel estimation; iterative methods; multipath channels; parity check codes; radio receivers; OFDM signal; channel encoding; code aided iterative channel estimation; doubly selective multipath channel; frequency autocorrelation; iterative Wiener filter-based estimation; low density parity check code; nonbinary LDPC code; receiver complexity; system performance; Channel estimation; Correlation; Decoding; Frequency domain analysis; Iterative decoding; OFDM; “turbo” principle; IEEE 802.16; IMT-advanced technologies; Iterative channel estimation; LTE; OFDM; WiMax; Wiener filter; non-binary LDPC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Network and Mobile Summit, 2010
Conference_Location :
Florence
Print_ISBN :
978-1-905824-16-8
Type :
conf
Filename :
5722464
Link To Document :
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