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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kou, Y. Lin, S. Fossorier, M.P.C. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA (Kou, Y.) |
| Abstract | Low density parity check (LDPC) codes with iterative decoding based on belief propagation (IDBP) achieve astonishing error performance close to the Shannon limit. Until now there has been no known method for constructing these Shannon limit approaching codes systematically. Good LDPC codes are largely generated by computer search. As a result, the encoding of long LDPC codes is in general very complex. This paper presents the first algebraic method for constructing LDPC codes systematically based on finite analytic geometries. Four classes of finite geometry LDPC codes with relatively good minimum distances are constructed. These codes are either cyclic or quasi-cyclic and therefore their encoding can be implemented with simple linear feedback shift registers. Long finite geometry LDPC codes have been constructed and they achieve an error performance only a few tenths of a dB away from the Shannon limit. Finite geometry LDPC codes are strong competitors to turbo codes for error control in communication and digital data storage systems. |
| Starting Page | 825 |
| Ending Page | 829 |
| File Size | 574285 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780364511 |
| DOI | 10.1109/GLOCOM.2000.891254 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-11-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Parity check codes Sparse matrices Computer errors Feedback Null space Computational geometry Iterative decoding Belief propagation Turbo codes Error correction |
| Content Type | Text |
| Resource Type | Article |
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