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Performance of a Low Rate Duo - Binary Turbo Decoder With Genetic Optimization

Chowdhari, Vikram

Abstract Details

2009, Master of Science (MS), Ohio University, Electrical Engineering (Engineering and Technology).
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.
Jeffrey Dill (Advisor)
Trent Skidmore (Committee Member)
Savas Kaya (Committee Member)
William Kaufman (Committee Member)
67 p.

Recommended Citations

Citations

  • Chowdhari, V. (2009). Performance of a Low Rate Duo - Binary Turbo Decoder With Genetic Optimization [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1244495510

    APA Style (7th edition)

  • Chowdhari, Vikram. Performance of a Low Rate Duo - Binary Turbo Decoder With Genetic Optimization. 2009. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1244495510.

    MLA Style (8th edition)

  • Chowdhari, Vikram. "Performance of a Low Rate Duo - Binary Turbo Decoder With Genetic Optimization." Master's thesis, Ohio University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1244495510

    Chicago Manual of Style (17th edition)