Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5636
Title: Blind Estimation of Code Parameters for Product Codes over Noisy Channel Conditions
Authors: Ramabadran, Swaminathan
Keywords: Blind equalization;Convolutional codes;Inventory control;Blind estimations;Code parameters;Component codes;Multiple components;Noisy channel;Novel algorithm;Product code;Reed solomon;Parameter estimation
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Swaminathan, R., Madhukumar, A. S., & Guohua, W. (2020). Blind estimation of code parameters for product codes over noisy channel conditions. IEEE Transactions on Aerospace and Electronic Systems, 56(2), 1460-1473. doi:10.1109/TAES.2019.2934308
Abstract: Product codes are multidimensional codes constructed using multiple component codes. In this paper, novel algorithms are proposed for the blind estimation of two-dimensional product code parameters over the noisy channel conditions considering Reed-Solomon and Bose-Chaudhuri-Hocquenghem as component codes. The performance of the algorithms in terms of probability of the correct estimation is investigated for different code parameters. It is observed that the accuracy improves with the decrease in modulation order and code dimension values. © 1965-2011 IEEE.
URI: https://doi.org/10.1109/TAES.2019.2934308
https://dspace.iiti.ac.in/handle/123456789/5636
ISSN: 0018-9251
Type of Material: Journal Article
Appears in Collections:Department of Electrical Engineering

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