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Exploring Parallel Processing Levels for Convolutional Turbo Decoding
2006 2nd International Conference on Information & Communication Technologies
In forward error correction, convolutional turbo codes were introduced to increase error correction capability approaching the Shannon bound. Decoding of these codes, however, is an iterative process requiring high computation rate and latency. Thus, in order to achieve high throughput and to reduce latency, crucial in emerging digital communication applications, parallel implementations become mandatory. In this paper, we explore the parallelism in convolutional turbo decoding with the BCJRdoi:10.1109/ictta.2006.1684774 fatcat:yo2yzpt7bjcebpj5pydfnx27zu