DocumentCode :
1174810
Title :
A factor graph approach to iterative channel estimation and LDPC decoding over fading channels
Author :
Niu, Huaning ; Shen, Manyuan ; Ritcey, James A. ; Liu, Hui
Author_Institution :
Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
Volume :
4
Issue :
4
fYear :
2005
fDate :
7/1/2005 12:00:00 AM
Firstpage :
1345
Lastpage :
1350
Abstract :
This letter provides a comparative study of joint channel estimation and low-density parity-check decoding algorithms for flat Rayleigh fading channels based on the receiver factor graphs. Two approaches for joint channel estimation and decoding are proposed. Intensive simulation studies are carried out to evaluate the receiver sensitivity to the choice of the factor graph. Results show that when channel statistical information is not available at the receiver, a low-pass filtering approach gives a more robust and simpler solution, and it is only 0.5 dB worse than the optimum Wiener filtering. All methods have about 2 dB improvements over the noniterative receivers.
Keywords :
Rayleigh channels; Wiener filters; channel coding; channel estimation; filtering theory; graph theory; iterative decoding; low-pass filters; parity check codes; radio receivers; statistical analysis; Rayleigh fading channel; Wiener filtering; channel estimation; channel statistical information; factor graph approach; iterative receiver; low-density parity-check decoding algorithm; low-pass filtering approach; radio receiver; receiver sensitivity; Channel estimation; Fading; Information filtering; Information filters; Iterative algorithms; Iterative decoding; Iterative methods; Low pass filters; Parity check codes; Wiener filter; Factor graph; LDPC; PSAM; iterative receiver;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2005.850273
Filename :
1512089
Link To Document :
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