Charles Darwin University

CDU eSpace
Institutional Repository

 
CDU Staff and Student only
 

Design of orthogonal convolutional codes and their applications in high performance transmission systems

Karim, Hasan (2013). Design of orthogonal convolutional codes and their applications in high performance transmission systems. Master of Engineering Thesis, Charles Darwin University.

Document type: Thesis
Citation counts: Google Scholar Search Google Scholar

Author Karim, Hasan
Title Design of orthogonal convolutional codes and their applications in high performance transmission systems
Institution Charles Darwin University
Publication Date 2013
Thesis Type Master of Engineering
Supervisor Vafi, Sina
Subjects ENGINEERING
Abstract FEC codes mainly consist of two major categories: Block Codes and Convolutional Codes. The major difference between them is that convolutional codes have memory bits whereas block codes do not. In general, FEC codes add redundancies to the original information so that the receiver can detect and correct errors appeared during transmission. Error correcting capability is vital since in FEC codes it is not practical to resend information changed by the channel noise. As a result, high performance FEC codes should be implemented to mitigate effect of noise and any unwanted signals.

Similar to orthogonal block codes, convolutional codes can be designed as orthogonal codes. Considering orthogonality of convolutional codes, it is possible to apply them in construction of concatenated codes. The main advantage of orthogonal convolutional codes is the ability to decode by majority logic decoding. This technique is simple, efficient, and easy to implement. In this project, various codes will be studied, but the focus will be on the design of self-orthogonal convolutional codes and on decoding them by using majority logic decoding. The challenge is to present codes, which effectively protect information against different types of errors.
Additional Notes How to deposit your thesis see: http://www.cdu.edu.au/library/how/deposit.html
 
Versions
Version Filter Type
Access Statistics: 9 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 24 Aug 2017, 13:33:43 CST by Jessie Ng