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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Junhee Cho Wonyong Sung |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Electrical Engineering, Seoul National University, 599 Gwanangno, Gwanak-gu, Seoul, 151-744, Korea (Junhee Cho; Wonyong Sung) |
| Abstract | Turbo product codes (TPC) are very suitable for applications requiring a large code length, a high code-rate, and good error performance. In the Chase decoding algorithm, normally a few least reliable positions are selected and the test sequences are generated from these positions. This paper proposes two methods to lower the complexity of the Chase-Pyndiah decoding algorithm. The first scheme reduces the number of least reliable positions by excluding those having relatively low error probabilities. The other one minimizes computations on unnecessary positions in an algebraic decoder. With these methods, we can significantly reduce the number of test sequences and lower the number of utilized positions for constructing an extended candidate codeword set. We show the simulation results with a squared (64, 57, 4) extended Hamming code-based TPC. |
| Starting Page | 210 |
| Ending Page | 215 |
| File Size | 228112 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457719202 |
| ISSN | 21623562 |
| e-ISBN | 9781457719219 |
| DOI | 10.1109/SiPS.2011.6088976 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-04 |
| Publisher Place | Lebanon |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decoding Iterative decoding Reliability Complexity theory Product codes Bit error rate iterative decoding Block codes linear codes turbo codes product codes |
| Content Type | Text |
| Resource Type | Article |
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