Display Full Text | Download Full Text
460.23 kB PDF file

Degree

Master of Science (MS), Ohio University, Electrical Engineering (Engineering and Technology), 2009.

Abstract

Turbo Code is a method of error correction coding, whose performance is veryclose to the Shannon limit. It has a feedback loop which decodes the data more efficiently. For several years, improvement in the performance of the system using turbo codes is obtained. In this thesis various non-linear and stochastic optimizing techniques are tested to improve the codeword error rate, by bringing it close to Shannon limit. A mathematic optimization called Genetic Algorithm is used and good performance is obtained.

Subject Headings

Electrical engineering

Keywords

turbo codes; genetic algorithm; duo binary turbo codes; error correction codes

Committee / Advisors

Jeffrey Dill (Advisor)
Trent Skidmore (Committee Member)
Savas Kaya (Committee Member)
William Kaufman (Committee Member)

Pages

67p.

Document number: ohiou1244495510
Permalink: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1244495510

This ETD has been downloaded 542 times (through March 2013)