Performance Enhanced Iterative Soft-Input Soft-Output Decoding Algorithms for Block Turbo Codes
Keywords:
Block Turbo Codes (BTCs), Chase-2 Algorithm, Genetic Algorithm (GA), Iterative Soft-Input Soft-Output Decoding, Particle Swarm Optimization (PSO) Algorithm, Support Vector Machine (SVM)Abstract
Recently, there has been an extensive research on the decoding of Block Turbo Codes (BTCs) achieving near optimum performance at higher noise levels. In this paper, two performances for enhancing novel BTC decoders based on Particle Swarm Optimisation (PSO) and Support Vector Machine (SVM) have been proposed. The decoding latency for the PSO based BTC decoder was much lesser for higher block length BTCs. SVM was adaptable to the channel characteristics and this made it easy to design application specific decoder for BTCs based on SVM.Downloads
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)