Performance Analysis In Terms Of Bit Energy To Noise Ratio Spectral Density On Decoding Algorithms Of Turbo Codes

Noorlin Rawaida, Mohd Isa (2010) Performance Analysis In Terms Of Bit Energy To Noise Ratio Spectral Density On Decoding Algorithms Of Turbo Codes. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Turbo Codes are a class of high-performance error correction codes. It used to achieve maximal information transfer over a limited-bandwidth communication link in the presence of data-corrupting noise. Turbo codes come closest to approaching the Shannon limit, the theoretical limit of maximum information transfer rate over a noisy channel. This project is about performance analysis in terms of bit energy to noise ratio spectral density (Eb/No) on decoding algorithms of turbo codes. This project proposes a method to improve performance between Soft Output Viterbi Algoritms (SOVA) and Log-Maximum A Posteriori Probability (Log-MAP), and simulated by MATLAB. SOVA and Log-MAP can be used in an iterative decoder and share some common operation to reduced consumption power. The calculation of Log-Map algorithm is obviously more complex than Sova algorithm. The final simulation results will shows the best performance between Log-MAP and SOVA which methods can be improves the bit energy to noise ratio spectral density (Eb/No) on decoding algorithms of turbo by using MATLAB over AWGN channel. Besides that, the effect of a range of system parameters is investigated in a systematic fashion, in order to gauge Turbo Codes performance. Keywords: Turbo Codes, SOVA, Log-MAP, MATLAB

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