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


Citation

Mohamad, Roslina and Harun, Harlisya and Mokhtar, Makhfudzah and Dimyati, K. and Wan Adnan, Wan Azizun (2015) Robust stopping criterion in signal-to-noise ratio uncertainty environment. Electronics Letters, 51 (23). 1875 - 1877. ISSN 0013-5194; ESSN: 1350-911X

Abstract

A robust stopping criterion (called online-BER [OB]) that can terminate iterative turbo decoding in a signal-to-noise ratio (SNR) uncertainty environment is proposed. OB is based on the online bit error rate (BER) estimation and 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 also more robust than other stopping criteria in a SNR uncertainty environment while being capable of reducing the average iteration number and resulting in less degradation in BER performance.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1049/el.2015.0908
Publisher: Institution of Engineering and Technology (IET)
Keywords: Robust stopping criterion; BER estimation; Turbo codes; Iterative decoding
Depositing User: Ms. Ainur Aqidah Hamzah
Date Deposited: 31 May 2022 20:43
Last Modified: 31 May 2022 20:43
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1049/el.2015.0908
URI: http://psasir.upm.edu.my/id/eprint/46203
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