Blind reconstruction of Reed-Solomon encoder and interleavers over noisy environment

Blind estimation of code and interleaver parameters is useful in smart storage systems and ubiquitous communication applications such as adaptive modulation and coding, reconfigurable radio systems, non-cooperative radio systems, etc. In this paper, we analyze Reed-Solomon (RS) encoded data stream a...

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Main Authors: Swaminathan, Ramabadran, Madhukumar, A. S., Wang, Guohua, Ting, Shang Kee
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/144731
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author Swaminathan, Ramabadran
Madhukumar, A. S.
Wang, Guohua
Ting, Shang Kee
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Swaminathan, Ramabadran
Madhukumar, A. S.
Wang, Guohua
Ting, Shang Kee
author_sort Swaminathan, Ramabadran
collection NTU
description Blind estimation of code and interleaver parameters is useful in smart storage systems and ubiquitous communication applications such as adaptive modulation and coding, reconfigurable radio systems, non-cooperative radio systems, etc. In this paper, we analyze Reed-Solomon (RS) encoded data stream and propose blind estimation algorithms to identify RS code parameters. We also provide algorithms to estimate block interleaver parameters from RS coded and block interleaved data stream. In addition, synchronization compensation through appropriate bit/symbol positioning is integrated with the proposed code and interleaver parameter estimation algorithms. Simulation results validating the proposed algorithms are given for various test cases involving both erroneous and non-erroneous scenarios. Moreover, the accuracy of estimation of RS code and block interleaver parameters are also given with detailed inferences for different modulation schemes, codeword length, and code dimension values. It has been inferred that the accuracy of parameter estimation improves with decrease in code dimension and codeword length values of RS codes. Further, the accuracy of estimation of lower modulation order schemes is better when compared to higher modulation order schemes as expected. It has also been noted that the proposed code and interleaver parameter estimation algorithms for noisy environment consistently outperform the algorithms proposed in the prior works.
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spelling ntu-10356/1447312020-11-23T02:43:57Z Blind reconstruction of Reed-Solomon encoder and interleavers over noisy environment Swaminathan, Ramabadran Madhukumar, A. S. Wang, Guohua Ting, Shang Kee School of Computer Science and Engineering Engineering::Computer science and engineering Parameter Estimation Blind estimation of code and interleaver parameters is useful in smart storage systems and ubiquitous communication applications such as adaptive modulation and coding, reconfigurable radio systems, non-cooperative radio systems, etc. In this paper, we analyze Reed-Solomon (RS) encoded data stream and propose blind estimation algorithms to identify RS code parameters. We also provide algorithms to estimate block interleaver parameters from RS coded and block interleaved data stream. In addition, synchronization compensation through appropriate bit/symbol positioning is integrated with the proposed code and interleaver parameter estimation algorithms. Simulation results validating the proposed algorithms are given for various test cases involving both erroneous and non-erroneous scenarios. Moreover, the accuracy of estimation of RS code and block interleaver parameters are also given with detailed inferences for different modulation schemes, codeword length, and code dimension values. It has been inferred that the accuracy of parameter estimation improves with decrease in code dimension and codeword length values of RS codes. Further, the accuracy of estimation of lower modulation order schemes is better when compared to higher modulation order schemes as expected. It has also been noted that the proposed code and interleaver parameter estimation algorithms for noisy environment consistently outperform the algorithms proposed in the prior works. Accepted version 2020-11-23T02:43:56Z 2020-11-23T02:43:56Z 2018 Journal Article Swaminathan, R., Madhukumar, A. S., Wang, G., & Ting, S. K. (2018). Blind reconstruction of Reed-Solomon encoder and interleavers over noisy environment. IEEE Transactions on Broadcasting, 64(4), 830-845. doi:10.1109/TBC.2018.2795461 0018-9316 https://hdl.handle.net/10356/144731 10.1109/TBC.2018.2795461 4 64 830 845 en IEEE Transactions on Broadcasting © 2018 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/TBC.2018.2795461 application/pdf
spellingShingle Engineering::Computer science and engineering
Parameter Estimation
Swaminathan, Ramabadran
Madhukumar, A. S.
Wang, Guohua
Ting, Shang Kee
Blind reconstruction of Reed-Solomon encoder and interleavers over noisy environment
title Blind reconstruction of Reed-Solomon encoder and interleavers over noisy environment
title_full Blind reconstruction of Reed-Solomon encoder and interleavers over noisy environment
title_fullStr Blind reconstruction of Reed-Solomon encoder and interleavers over noisy environment
title_full_unstemmed Blind reconstruction of Reed-Solomon encoder and interleavers over noisy environment
title_short Blind reconstruction of Reed-Solomon encoder and interleavers over noisy environment
title_sort blind reconstruction of reed solomon encoder and interleavers over noisy environment
topic Engineering::Computer science and engineering
Parameter Estimation
url https://hdl.handle.net/10356/144731
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