Graduate Thesis Or Dissertation
 

Complexity and performance analysis of turbo decoders for wireless communication systems

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  • The quest to achieve reliable communication has always existed. Error Correcting codes have made communication systems even more reliable under high signal to noise ratios. A new class of codes called Turbo codes have proved to be more effective compared to the other classes of codes and achieve performance close to the maximum theoretical limits. The iterative decoding schemes employed in turbo decoding enable us to tradeoff the bit error rate to the complexity of decoding by increasing or decreasing the number of iterations. Two classes of turbo decoders exist, one tries to estimate the transmit sequence and the other class of decoder tries to estimate the symbol transmitted at each time instant. The complexity of both the algorithms are different and we try to analyze the performance vs complexity of both classes of decoders at different conditions. We find the suitability of these algorithms for wireless personal communication systems. In this thesis, we find which class of algorithm performs well, given a fixed amount of processing power and under what conditions.
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