Soft decision decoding is a decoding method which can cut the decoding error probability as compared with hard decision decoding by utilizing the channel measurement information effectively. In this paper, a new soft decision decoding method by which decoding operations can be efficiently carried ou
Lettersoft-decision decoding of linear block codes as optimization problem
✍ Scribed by Breitbach, Markus ;Bossert, Martin ;Lucas, Rainer ;Kempter, Christian
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 498 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1124-318X
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✦ Synopsis
Abstract
In this contribution the problem of channel decoding is considered from the viewpoint of optimization theory. The decoding problem is at first denoted as integer optimization problem. To solve this problem, well‐known methods from optimization theory are suitable. Two examples are presented: First, an Omura‐type algorithm from [13] can be derived from the Simplex algorithm. Second, the decoding problem is reformulated such that it can be solved by a Branch‐and‐Bound algorithm. By simulation results, questions concerning bit error rate and complexity will be discussed.
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