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Content Provider | IEEE Xplore Digital Library |
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Author | Hua Xiao Tolouei, S. Banihashemi, A.H. |
Copyright Year | 2008 |
Description | Author affiliation: Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON (Hua Xiao; Tolouei, S.; Banihashemi, A.H.) |
Abstract | The application of successive relaxation (SR) to the fixed-point problem associated with the iterative decoding of low-density parity-check (LDPC) codes is studied. We consider finite-length codes decoded by belief propagation (BP) and a well-known approximation of it, referred to as min-sum (MS), over a binary input additive white Gaussian noise (BIAWGN) channel. For both algorithms, we show that the application of SR in different domains results in different error correcting performance. In particular, the performances of SR in log-likelihood ratio (LLR) and LR domains for BP and MS are compared, and it is shown that SR-MS-LLR has the best performance. For the tested codes, SR-MS-LLR outperforms standard BP by up to about 0.5 dB, offering an attractive solution in terms of performance/complexity tradeoff. We also investigate the effects of quantization on SR-MS-LLR and demonstrate that at least 6-7 bits of quantization is required to capture close to floating-point performance. |
Starting Page | 107 |
Ending Page | 110 |
File Size | 334184 |
Page Count | 4 |
File Format | |
ISBN | 9781424419456 |
DOI | 10.1109/BSC.2008.4563216 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-06-24 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Strontium Quantization Additive white noise Parity check codes Iterative algorithms Error correction Code standards Iterative decoding Belief propagation Testing |
Content Type | Text |
Resource Type | Article |
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