Abstract
A new soft-input soft-output (SISO) decoding algorithm based on minimum distance search (MDS), called SISO-IMDS, is presented. The bit error rate of the proposed SISO decoding algorithm is almost the same as those of Max-Log-MAP and Log-MAP algorithms. Moreover, the average decoding complexity of the MDS based SISO decoding algorithm is much smaller than those of trellis-based SISO decoding algorithms. Consequently, the proposed SISO-IMDS can be applied in practical iterative decoding algorithms for a product code and a block turbo code.
| Original language | English |
|---|---|
| Pages (from-to) | 345 |
| Number of pages | 1 |
| Journal | IEEE International Symposium on Information Theory - Proceedings |
| Publication status | Published - 2004 |
| Event | Proceedings - 2004 IEEE International Symposium on Information Theory - Chicago, IL, United States Duration: Jun 27 2004 → Jul 2 2004 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Information Systems
- Modelling and Simulation
- Applied Mathematics