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| Content Provider | IET Digital Library |
|---|---|
| Author | Li, Xuemei Zhang, Wei Liu, Yanyan |
| Abstract | Reed–Solomon (RS) codes possess excellent error correction capability. Algebraic soft-decision decoding (ASD) of RS codes can provide better correction performance than the hard-decision decoding (HDD). The low-complexity Chase (LCC) decoding has the lowest complexity cost and similar or even higher coding gain among all of the available ASD algorithms. Instead of employing complicated interpolation technique, the LCC decoding can be implemented based on the HDD. This study proposes a modified serial LCC decoder, which employs a novel syndrome calculation, polynomial selection, Chien search and Forney algorithm block. In addition, an improved two-dimensional optimisation is provided to reduce the hardware complexity of the proposed decoder. Compared with the previous design, the proposed decoder can improve about 1.27 times speed and obtain 1.29 times higher efficiency in terms of throughput-over-slice ratio. |
| Starting Page | 10 |
| Ending Page | 16 |
| Page Count | 7 |
| ISSN | 17518628 |
| Volume Number | 9 |
| e-ISSN | 17518636 |
| Issue Number | Issue 1, Jan (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/9/1 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2014.0460 |
| Journal | IET Communications |
| Publisher Date | 2014-10-22 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | 2D Optimisation Algebraic Codes Algebraic Soft-decision Decoding ASD Algorithm Chien Search Code Coding Gain Error Correction Forney Algorithm Block Hard-decision Decoding HDD Interpolation Interpolation And Function Approximation Interpolation Technique LCC Decoding Low-complexity Chase Decoding Numerical Analysis Optimisation Optimisation Technique Polynomial Selection Reed-Solomon Code Reed–Solomon Codes RS Code |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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