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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Abolfazli, A.R. Shayan, Y.R. Cowan, G.E.R. |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec (Abolfazli, A.R.; Shayan, Y.R.; Cowan, G.E.R.) |
| Abstract | It has been shown that Min-Sum (MS) algorithms have low complexity in the implementation of analog VLSI decoders compared to the Sum-Product (SP) algorithm. Moreover, Turbo-structured LDPC (TS-LDPC) codes are known to have lower error floor than random LDPC codes. In this paper, Min-Sum and Min-Sum with correction factor algorithms are reviewed and adapted with TS-LDPC codes for future analog VLSI implementation. Simulation results show that the error performance of the Min-Sum algorithm is comparable with the Sum-Product algorithm for the same block length. This means that the lower error floor property of TS-LDPC codes is preserved when MS algorithms are used. Moreover, analog decoder implementation of TS-LDPC codes is studied. To test the suitability of the MS algorithm based TS-LDPC decoder some analog impairments such as mismatch, leakage and noise are considered in the decoding procedure of TS-LDPC codes. In each case, it is shown that the degradation of the error performance of TS-LDPC codes due to analog impairments is negligible. Therefore, it can be concluded that the analog decoder of the TS-LDPC code using MS algorithm is fairly robust against analog imperfections and may be considered in future implementation of analog VLSI decoder. |
| Starting Page | 162 |
| Ending Page | 167 |
| File Size | 433231 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467311137 |
| e-ISBN | 9781467311144 |
| e-ISBN | 9781467311120 |
| DOI | 10.1109/QBSC.2012.6221374 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-28 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Simulation Very large scale integration Approximation algorithms Decoding Iterative decoding |
| Content Type | Text |
| Resource Type | Article |
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