Paper Info
Title
Iterative Soft QRD-M Decoding of Coded IFDMA Systems
Abstract
We introduce an iterative decoding algorithm for the decoding of coded interleaved frequency division multiple access (IFDMA) system in this paper. The iterative decoding algorithm incorporates a low complexity a posterior probability (APP) detector based on breadth-first tree search algorithm with a soft-input soft-out (SISO) error-correcting codes (ECC) decoder. The proposed detector combines the principles of the M-algorithm with QR decomposition (QRD-M) to generate soft decision statistics in place of the conventional APP detector which has a high computational cost. We show through simulations that the purposed iterative decoding algorithm is able to achieve significant performance gain using only very small number of iterations. Furthermore, the simulated bit error rate (BER) performance of a system using the proposed algorithm not only exhibits similar diversity order as the hypothetical matched filter bound but also approaches it at high signal-to-noise ratio (SNR).
Year
DOI
Venue
2010
10.1109/WCNC.2010.5506327
WCNC
Keywords
Field
DocType
detectors,search algorithm,computational modeling,error correction code,posterior probability,convolutional codes,bit error rate,decoding,signal to noise ratio,iterative algorithm,qr decomposition,statistics,probability
Convolutional code,Sequential decoding,Iterative method,Computer science,Algorithm,Theoretical computer science,Real-time computing,Matched filter,Decoding methods,List decoding,QR decomposition,Bit error rate
Conference
ISSN
ISBN
Citations 
1525-3511
978-1-4244-6396-1
0
PageRank 
References 
Authors
0.34
8
4
Name
Order
Citations
PageRank
Khiam-Boon Png1144.33
Xiaoming Peng29520.72
Francois P. S. Chin333047.00
Chi Chung Ko475381.90