Blind recognition of LDPC code parameters over erroneous channel conditions

Blind reconstruction of channel coding parameters plays a significant role in non-cooperative military and spectrum surveillance applications. Further, it also gives additional advantages in applications such as cognitive radio, adaptive modulation and coding, and so on. In this study, blind estimat...

Full description

Saved in:
Bibliographic Details
Main Authors: Ramabadran, Swaminathan, Madhukumar, A. S., Wang, Guohua, Ting, Shang Kee
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/144700
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-144700
record_format dspace
spelling sg-ntu-dr.10356-1447002020-11-19T09:25:05Z Blind recognition of LDPC code parameters over erroneous channel conditions Ramabadran, Swaminathan Madhukumar, A. S. Wang, Guohua Ting, Shang Kee School of Computer Science and Engineering Engineering::Computer science and engineering Adaptive Modulation Cognitive Radio Blind reconstruction of channel coding parameters plays a significant role in non-cooperative military and spectrum surveillance applications. Further, it also gives additional advantages in applications such as cognitive radio, adaptive modulation and coding, and so on. In this study, blind estimation algorithms are proposed to identify code dimension and codeword length parameters of low-density parity-check (LDPC) codes at the receiver over noisy or erroneous channel conditions assuming a non-cooperative scenario. The proposed algorithms are validated using different test cases. Moreover, the accuracy of estimation of code dimension and codeword length parameters of LDPC codes using the proposed algorithms is also given for different M -ary phase-shift keying schemes. From the simulation results, it is observed that the accuracy of estimation improves with decrease in code rate, codeword length, and modulation order. Accepted version 2020-11-19T09:08:41Z 2020-11-19T09:08:41Z 2019 Journal Article Ramabadran, S., Madhukumar, A. S., Wang, G., & Ting, S. K. (2019). Blind recognition of LDPC code parameters over erroneous channel conditions. IET Signal Processing, 13(1), 86-95. doi:10.1049/iet-spr.2018.5025 1751-9683 https://hdl.handle.net/10356/144700 10.1049/iet-spr.2018.5025 1 13 86 95 en IET Signal Processing This paper is a postprint of a paper submitted to and accepted for publication in IET Signal Processing and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
Adaptive Modulation
Cognitive Radio
spellingShingle Engineering::Computer science and engineering
Adaptive Modulation
Cognitive Radio
Ramabadran, Swaminathan
Madhukumar, A. S.
Wang, Guohua
Ting, Shang Kee
Blind recognition of LDPC code parameters over erroneous channel conditions
description Blind reconstruction of channel coding parameters plays a significant role in non-cooperative military and spectrum surveillance applications. Further, it also gives additional advantages in applications such as cognitive radio, adaptive modulation and coding, and so on. In this study, blind estimation algorithms are proposed to identify code dimension and codeword length parameters of low-density parity-check (LDPC) codes at the receiver over noisy or erroneous channel conditions assuming a non-cooperative scenario. The proposed algorithms are validated using different test cases. Moreover, the accuracy of estimation of code dimension and codeword length parameters of LDPC codes using the proposed algorithms is also given for different M -ary phase-shift keying schemes. From the simulation results, it is observed that the accuracy of estimation improves with decrease in code rate, codeword length, and modulation order.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Ramabadran, Swaminathan
Madhukumar, A. S.
Wang, Guohua
Ting, Shang Kee
format Article
author Ramabadran, Swaminathan
Madhukumar, A. S.
Wang, Guohua
Ting, Shang Kee
author_sort Ramabadran, Swaminathan
title Blind recognition of LDPC code parameters over erroneous channel conditions
title_short Blind recognition of LDPC code parameters over erroneous channel conditions
title_full Blind recognition of LDPC code parameters over erroneous channel conditions
title_fullStr Blind recognition of LDPC code parameters over erroneous channel conditions
title_full_unstemmed Blind recognition of LDPC code parameters over erroneous channel conditions
title_sort blind recognition of ldpc code parameters over erroneous channel conditions
publishDate 2020
url https://hdl.handle.net/10356/144700
_version_ 1688665712244031488