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Turbo-coded OCC-CDMA with spatial diversity for wireless mobile communications

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dc.contributor.advisor Magana, Mario E.
dc.creator Tjahjadi, Aldo
dc.date.accessioned 2012-07-24T19:39:55Z
dc.date.available 2012-07-24T19:39:55Z
dc.date.copyright 2002-11-04
dc.date.issued 2002-11-04
dc.identifier.uri http://hdl.handle.net/1957/31498
dc.description Graduation date: 2003 en_US
dc.description.abstract Turbo codes have been used successfully for error correction in digital communications, however, their application to wireless mobile communications is still a fresh research topic. The objective of this thesis is to present a new solution that involves the usage of turbo codes, spatial diversity, and orthogonal complementary codes in a CDMA spread spectrum system in order to deliver good performance in a fading environment at low signal-to-noise ratios. The results of the research that was performed to write this thesis are presented in a modular and progressive fashion. That is, the design of a basic turbo-coded system in additive white Gaussian noise (AWGN) is developed first in order to get a good understanding of its potential in a wireless communication environment. Then the basic system design is expanded to include fading channel characteristics and multiple access spread spectrum capabilities using classical code division multiple access (CDMA) techniques. Finally, orthogonal complementary codes are used in lieu of traditional spreading codes and spatial diversity is introduced to maximize system performance. en_US
dc.language.iso en_US en_US
dc.subject.lcsh Code division multiple access en_US
dc.title Turbo-coded OCC-CDMA with spatial diversity for wireless mobile communications en_US
dc.type Thesis/Dissertation en_US
dc.degree.name Master of Science (M.S.) in Electrical and Computer Engineering en_US
dc.degree.level Master's en_US
dc.degree.discipline Engineering en_US
dc.degree.grantor Oregon State University en_US
dc.description.digitization File scanned at 300 ppi (Monochrome, 256 Grayscale) using Capture Perfect 3.0.82 on a Canon DR-9080C in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR. en_US
dc.description.peerreview no en_us

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