Performance comparison of turbo codes with LDPC codes and with BCH codes for forward error correcting codes

Mohammed Hasan Alwan, Mandeep Singh Jit Singh, Hussain Falih Mahdi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In the field of communication, one of the most thriving and prevalent subject is the channel coding. Channel coding generally deals with the bandwidth which is the bit-rate or information storage capacity. It is a technical field which relies heavily on cost. In fact, it is undeniable that cost is the most crucial element in every system. Nowadays, together with the latency or time element which is also an equally significant factor, especially in mobile communication. The objective of this paper is to analyse and compare distinctively the three types of codes namely, turbo codes, LDBC codes and BCH codes, all simulated respectively in MATLAB environment. According to the conducted studies, it is evident that the BCH codes are excellent in performance compared to other codes. The turbo code, despite requiring maximum processing to decode the message has fairly good performance as well. Regardless of the level of processing, all the codes possess good & reliable performances compared to other codes.

Original languageEnglish
Title of host publication2015 IEEE Student Conference on Research and Development, SCOReD 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages556-560
Number of pages5
ISBN (Print)9781467395724
DOIs
Publication statusPublished - 7 Apr 2016
EventIEEE Student Conference on Research and Development, SCOReD 2015 - Kuala Lumpur, Malaysia
Duration: 13 Dec 201514 Dec 2015

Other

OtherIEEE Student Conference on Research and Development, SCOReD 2015
CountryMalaysia
CityKuala Lumpur
Period13/12/1514/12/15

Fingerprint

Turbo codes
Channel coding
Communication
Processing
MATLAB
Costs
Bandwidth
Data storage equipment

Keywords

  • BCH codes
  • belief propagation
  • Channel coding
  • LDPC code
  • Map Algorithm
  • Turbo code

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Alwan, M. H., Jit Singh, M. S., & Mahdi, H. F. (2016). Performance comparison of turbo codes with LDPC codes and with BCH codes for forward error correcting codes. In 2015 IEEE Student Conference on Research and Development, SCOReD 2015 (pp. 556-560). [7449398] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCORED.2015.7449398

Performance comparison of turbo codes with LDPC codes and with BCH codes for forward error correcting codes. / Alwan, Mohammed Hasan; Jit Singh, Mandeep Singh; Mahdi, Hussain Falih.

2015 IEEE Student Conference on Research and Development, SCOReD 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 556-560 7449398.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Alwan, MH, Jit Singh, MS & Mahdi, HF 2016, Performance comparison of turbo codes with LDPC codes and with BCH codes for forward error correcting codes. in 2015 IEEE Student Conference on Research and Development, SCOReD 2015., 7449398, Institute of Electrical and Electronics Engineers Inc., pp. 556-560, IEEE Student Conference on Research and Development, SCOReD 2015, Kuala Lumpur, Malaysia, 13/12/15. https://doi.org/10.1109/SCORED.2015.7449398
Alwan MH, Jit Singh MS, Mahdi HF. Performance comparison of turbo codes with LDPC codes and with BCH codes for forward error correcting codes. In 2015 IEEE Student Conference on Research and Development, SCOReD 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 556-560. 7449398 https://doi.org/10.1109/SCORED.2015.7449398
Alwan, Mohammed Hasan ; Jit Singh, Mandeep Singh ; Mahdi, Hussain Falih. / Performance comparison of turbo codes with LDPC codes and with BCH codes for forward error correcting codes. 2015 IEEE Student Conference on Research and Development, SCOReD 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 556-560
@inproceedings{d34ad73410e342aaadd1e5a0ad4b9f31,
title = "Performance comparison of turbo codes with LDPC codes and with BCH codes for forward error correcting codes",
abstract = "In the field of communication, one of the most thriving and prevalent subject is the channel coding. Channel coding generally deals with the bandwidth which is the bit-rate or information storage capacity. It is a technical field which relies heavily on cost. In fact, it is undeniable that cost is the most crucial element in every system. Nowadays, together with the latency or time element which is also an equally significant factor, especially in mobile communication. The objective of this paper is to analyse and compare distinctively the three types of codes namely, turbo codes, LDBC codes and BCH codes, all simulated respectively in MATLAB environment. According to the conducted studies, it is evident that the BCH codes are excellent in performance compared to other codes. The turbo code, despite requiring maximum processing to decode the message has fairly good performance as well. Regardless of the level of processing, all the codes possess good & reliable performances compared to other codes.",
keywords = "BCH codes, belief propagation, Channel coding, LDPC code, Map Algorithm, Turbo code",
author = "Alwan, {Mohammed Hasan} and {Jit Singh}, {Mandeep Singh} and Mahdi, {Hussain Falih}",
year = "2016",
month = "4",
day = "7",
doi = "10.1109/SCORED.2015.7449398",
language = "English",
isbn = "9781467395724",
pages = "556--560",
booktitle = "2015 IEEE Student Conference on Research and Development, SCOReD 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Performance comparison of turbo codes with LDPC codes and with BCH codes for forward error correcting codes

AU - Alwan, Mohammed Hasan

AU - Jit Singh, Mandeep Singh

AU - Mahdi, Hussain Falih

PY - 2016/4/7

Y1 - 2016/4/7

N2 - In the field of communication, one of the most thriving and prevalent subject is the channel coding. Channel coding generally deals with the bandwidth which is the bit-rate or information storage capacity. It is a technical field which relies heavily on cost. In fact, it is undeniable that cost is the most crucial element in every system. Nowadays, together with the latency or time element which is also an equally significant factor, especially in mobile communication. The objective of this paper is to analyse and compare distinctively the three types of codes namely, turbo codes, LDBC codes and BCH codes, all simulated respectively in MATLAB environment. According to the conducted studies, it is evident that the BCH codes are excellent in performance compared to other codes. The turbo code, despite requiring maximum processing to decode the message has fairly good performance as well. Regardless of the level of processing, all the codes possess good & reliable performances compared to other codes.

AB - In the field of communication, one of the most thriving and prevalent subject is the channel coding. Channel coding generally deals with the bandwidth which is the bit-rate or information storage capacity. It is a technical field which relies heavily on cost. In fact, it is undeniable that cost is the most crucial element in every system. Nowadays, together with the latency or time element which is also an equally significant factor, especially in mobile communication. The objective of this paper is to analyse and compare distinctively the three types of codes namely, turbo codes, LDBC codes and BCH codes, all simulated respectively in MATLAB environment. According to the conducted studies, it is evident that the BCH codes are excellent in performance compared to other codes. The turbo code, despite requiring maximum processing to decode the message has fairly good performance as well. Regardless of the level of processing, all the codes possess good & reliable performances compared to other codes.

KW - BCH codes

KW - belief propagation

KW - Channel coding

KW - LDPC code

KW - Map Algorithm

KW - Turbo code

UR - http://www.scopus.com/inward/record.url?scp=84966648401&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84966648401&partnerID=8YFLogxK

U2 - 10.1109/SCORED.2015.7449398

DO - 10.1109/SCORED.2015.7449398

M3 - Conference contribution

AN - SCOPUS:84966648401

SN - 9781467395724

SP - 556

EP - 560

BT - 2015 IEEE Student Conference on Research and Development, SCOReD 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -