Exit chart analysis of parallel data convolutional codes

Xiang, Wei and Pietrobon, Steven S. and Leis, John ORCID: https://orcid.org/0000-0001-5930-8139 (2005) Exit chart analysis of parallel data convolutional codes. In: ISPACS 2005: International Symposium on Intellegent Signal Processing and Communication Systems, 13-16 Dec 2005, Hong Kong.

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Abstract

We recently proposed a new class of turbo-like codes
called parallel data convolutional codes (PDCCs). The distinct characteristics of PDCCs include parallel data input bits and a self-iterative soft-in/soft-out a posteriori probability(APP) decoder. In this paper, we analyse this turbolike code by means of the extrinsic information transfer chart (EXIT chart). Our results show that the threshold Eb/N0 point for a rate 1/2 8-state PDCC is 0.6 dB, which is the same as the threshold point for a punctured rate 1/2 16-state parallel concatenated convolutional code (turbo code).

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Item Type:	Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed:	Yes
Item Status:	Live Archive
Additional Information:	© 2005 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.
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Date Deposited:	11 Oct 2007 00:25
Last Modified:	08 Nov 2022 05:59
Uncontrolled Keywords:	exit chart analysis; convultion; codes; parallel data convolutional codes (PDCCs); a posteriori probability (APP); decoder
Fields of Research (2008):	09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing 01 Mathematical Sciences > 0104 Statistics > 010404 Probability Theory
Fields of Research (2020):	40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400799 Control engineering, mechatronics and robotics not elsewhere classified 40 ENGINEERING > 4006 Communications engineering > 400607 Signal processing 49 MATHEMATICAL SCIENCES > 4905 Statistics > 490506 Probability theory
Socio-Economic Objectives (2008):	E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI:	http://eprints.usq.edu.au/id/eprint/592

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