DocumentCode
2158586
Title
Iterative interference cancellation and decoding for convolutional coded pre-transformed communication systems
Author
Yan, Wu ; Li, Yuan ; Sun, Sumei
Author_Institution
Inst. for InfoCom Res., Singapore
Volume
1
fYear
2004
fDate
5-8 Sept. 2004
Firstpage
259
Abstract
In this paper, we propose a low complexity iterative interference cancellation and decoding (IICD) scheme for serial concatenated coded and pre-transformed communication systems. In this scheme, soft reliability information of the transmitted bits is exchanged between the maximum a posteriori (MAP) decoder and the detector employing interference cancellation (IC) technique. The complexity of the proposed scheme is only linear with respect to the size of the pre-transform and constellation set. This leads to significant reduction in computation complexity compared to conventional iterative detection and decoding (IDD), where the complexity is exponential with respect to the transform size and constellation size. We show that the proposed scheme can fully exploit the diversity of the fading channel and it reaches the BER bound of IDD at high SNR values after 3 to 4 iterations.
Keywords
concatenated codes; convolutional codes; diversity reception; fading channels; interference suppression; iterative decoding; maximum likelihood decoding; MAP decoder; SNR; computation complexity; convolutional code; decoding; fading channel diversity; iterative interference cancellation; maximum a posteriori decoder; pre-transformed communication systems; serial concatenated code; soft reliability information; Bit error rate; Concatenated codes; Convolutional codes; Detectors; Diversity reception; Fading; Interference cancellation; Iterative algorithms; Iterative decoding; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Personal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. 15th IEEE International Symposium on
Print_ISBN
0-7803-8523-3
Type
conf
DOI
10.1109/PIMRC.2004.1370875
Filename
1370875
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