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Robust stopping criterion in signal-to-noise ratio uncertainty environment

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PROJECT TITLE :

Robust stopping criterion in signal-to-noise ratio uncertainty environment

ABSTRACT:

A robust stopping criterion (called online-BER [OB]) that can terminate iterative turbo decoding during a signal-to-noise ratio (SNR) uncertainty environment is proposed. OB is predicated on the online bit error rate (BER) estimation and also the BER thresholds. Both values are used to detect convergence and non-convergence decoder output and also to halt iterative decoding in various SNRs. Unlike other well-known stopping criteria, OB does not depend on SNR information in its stopping rules and hence it is less complex. OB is additionally more strong than other stopping criteria in a very SNR uncertainty surroundings while being capable of reducing the typical iteration range and ensuing in less degradation in BER performance.


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Robust stopping criterion in signal-to-noise ratio uncertainty environment - 4.9 out of 5 based on 71 votes

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