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Content Provider | IEEE Xplore Digital Library |
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Author | Soo-Woong Lee Kumar, B.V.K.V. |
Copyright Year | 1983 |
Abstract | Towards the goal of achieving better error correction performance in data storage systems, iterative soft decoding of low density parity check (LDPC) codes and soft-decision decoding of Reed-Solomon (RS) codes have started receiving increasing research attention. However, even with increased computing power, complexities of soft-decision decoding algorithms are still too high for real products which require high throughput and small hardware area. Another problem is that the performance gains of those approaches are smaller for magnetic recording channels than they are for memoryless additive white Gaussian noise (AWGN) channels. We propose a new soft-decision decoding algorithm (based on the Chase algorithm), which takes advantage of pattern reliability instead of symbol reliability or bit reliability. We also present a modified Viterbi algorithm that provides probable error patterns with corresponding reliabilities. Simulation results of the proposed algorithms over the partial response (PR) channel show attractive performance gains. The proposed algorithm dramatically reduces the number of iterations compared to the conventional Chase2 algorithm over the PR channel. |
File Size | 424388 |
File Format | |
ISSN | 07338716 |
Volume Number | 28 |
Issue Number | 2 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-02-01 |
Publisher Place | U.S.A. |
Access Restriction | One Nation One Subscription (ONOS) |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Viterbi algorithm Partial response channels Iterative decoding Parity check codes Performance gain AWGN Data mining Error correction codes Data storage systems Reed-Solomon codes Reed-Solomon codes, Chase2 algorithm, pattern flipping, soft-decision decoding, Viterbi algorithm, error event, partial response channel |
Content Type | Text |
Resource Type | Article |
Subject | Computer Networks and Communications Electrical and Electronic Engineering |
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