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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiangli Zhu Xinmiao Zhang |
| Copyright Year | 2010 |
| Description | Author affiliation: Case Western Reserve University, USA (Jiangli Zhu; Xinmiao Zhang) |
| Abstract | Reed-Solomon (RS) codes are widely used as error-correcting codes in digital communication and storage systems. This paper proposes an efficient architecture for RS decoder with adaptive error-correcting capability. This decoder can be employed to enable complexity-performance tradeoff and ensure data reliability in applications with time-varying channel condition, such as wireless communications. Specifically, the proposed decoder adopts the low-complexity Chase (LCC) algebraic soft-decision decoding algorithm. This algorithm tests 2η vectors, and larger η leads to higher error-correcting capability. The proposed decoder is capable of implementing LCC decoding with variable η. In addition, the decoder hardware units are reused to incorporate hard-decision decoding (HDD). Detailed hardware requirement and latency analysis is provided for a (255, 239) RS code. Compared to the LCC decoder for η = 3 only, the adaptive RS decoder that can take care of both the HDD and LCC decoding with η ∈ {3, 4, 5} only has 1% area overhead. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 373515 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424475971 |
| e-ISBN | 9781424475964 |
| DOI | 10.1109/WOCC.2010.5510637 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Low-complexity Chase VLSI design Decoding Delay Reed-Solomon codes Interpolation Adaptive error-correcting capability Algebraic soft-decision decoding Variable speed drives Time-varying channels Digital communication Hardware Polynomials Hard-decision decoding Testing |
| Content Type | Text |
| Resource Type | Article |
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