Joint Recognition of Error Correcting Codes and Interleaver Parameters in a Robust Environment
To improve the error performance of digital storage and communication systems, forward error correcting (FEC) codes and interleaver play a significant role by counteracting random and burst errors, respectively. In most of the applications, accurate information about the type of FEC codes, coding an...
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sg-ntu-dr.10356-818492020-03-07T11:48:45Z Joint Recognition of Error Correcting Codes and Interleaver Parameters in a Robust Environment Swaminathan, Ramabadran Madhukumar, A. S. School of Computer Science and Engineering 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) Automatic recognition Blind/semi-blind estimation To improve the error performance of digital storage and communication systems, forward error correcting (FEC) codes and interleaver play a significant role by counteracting random and burst errors, respectively. In most of the applications, accurate information about the type of FEC codes, coding and interleaving parameters are known at the receiver in order to successfully decode and de-interleave the message bits, respectively. However, in certain applications such as spectrum surveillance, adaptive modulation and coding (AMC)-based communication systems, cognitive radio, etc., all the coding and interleaving parameters need not be known at the receiver and blind/semiblind recognition of the same is mandatory. Therefore, in this paper, innovative algorithms for automatic recognition of type of FEC codes along with the parameter estimation of helical scan interleaver are proposed considering both erroneous and non-erroneous scenarios without any prior knowledge about the encoding scheme used in the transmitter. Note that the proposed algorithms will classify among block coded, convolutional coded, and uncoded data streams. Accepted version 2017-04-17T09:22:21Z 2019-12-06T14:41:30Z 2017-04-17T09:22:21Z 2019-12-06T14:41:30Z 2016-09-01 2016 Conference Paper Swaminathan, R., & MadhuKumar, A. S. (2016). Joint recognition of error correcting codes and interleaver parameters in a robust environment. 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 16555847-. https://hdl.handle.net/10356/81849 http://hdl.handle.net/10220/42280 10.1109/PIMRC.2016.7794694 197648 en © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [https://doi.org/10.1109/PIMRC.2016.7794694]. 6 p. application/pdf |
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Automatic recognition Blind/semi-blind estimation |
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Automatic recognition Blind/semi-blind estimation Swaminathan, Ramabadran Madhukumar, A. S. Joint Recognition of Error Correcting Codes and Interleaver Parameters in a Robust Environment |
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To improve the error performance of digital storage and communication systems, forward error correcting (FEC) codes and interleaver play a significant role by counteracting random and burst errors, respectively. In most of the applications, accurate information about the type of FEC codes, coding and interleaving parameters are known at the receiver in order to successfully decode and de-interleave the message bits, respectively. However, in certain applications such as spectrum surveillance, adaptive modulation and coding (AMC)-based communication systems, cognitive radio, etc., all the coding and interleaving parameters need not be known at the receiver and blind/semiblind recognition of the same is mandatory. Therefore, in this paper, innovative algorithms for automatic recognition of type of FEC codes along with the parameter estimation of helical scan interleaver are proposed considering both erroneous and non-erroneous scenarios without any prior knowledge about the encoding scheme used in the transmitter. Note that the proposed algorithms will classify among block coded, convolutional coded, and uncoded data streams. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Swaminathan, Ramabadran Madhukumar, A. S. |
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Conference or Workshop Item |
author |
Swaminathan, Ramabadran Madhukumar, A. S. |
author_sort |
Swaminathan, Ramabadran |
title |
Joint Recognition of Error Correcting Codes and Interleaver Parameters in a Robust Environment |
title_short |
Joint Recognition of Error Correcting Codes and Interleaver Parameters in a Robust Environment |
title_full |
Joint Recognition of Error Correcting Codes and Interleaver Parameters in a Robust Environment |
title_fullStr |
Joint Recognition of Error Correcting Codes and Interleaver Parameters in a Robust Environment |
title_full_unstemmed |
Joint Recognition of Error Correcting Codes and Interleaver Parameters in a Robust Environment |
title_sort |
joint recognition of error correcting codes and interleaver parameters in a robust environment |
publishDate |
2017 |
url |
https://hdl.handle.net/10356/81849 http://hdl.handle.net/10220/42280 |
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1681048600293933056 |