A Co-channel interference cancellation technique using orthogonal convolutional code

Simple item page
dc.contributor.authorSanada, Yukitoshien_US
dc.date.accessioned2024-08-15T18:18:53Z
dc.date.available2024-08-15T18:18:53Z
dc.date.copyright1995en_US
dc.date.issued1995
dc.degree.departmentDepartment of Electrical and Computer Engineering
dc.degree.levelMaster of Applied Science M.A.Sc.en
dc.description.abstractIn this thesis a new parallel co-channel interference cancellation technique which utilizes orthogonal convolutional codes is proposed and investigated. In a spread spectrum multiple access environment, co-channel interference (CCI) limits the performance of the communication link. To remove this interference, several CCI cancellation techniques have been proposed, including those techniques which do not require the receiver to have knowledge of the cross-correlation between user sequences. These methods leave residual interference after the cancellation caused by errors on the initial decisions. To improve the initial decisions and reduce the residual interference, the proposed scheme utilizes the error correcting capability of the orthogonal convolutional code. It is shown that the proposed CCI canceller offers an improvement in capacity by a factor of 1.5 ~ 3 as compared with a conventional canceller on A WGN channel and multipath Rayleigh fading channel. The proposed canceller works in the presence of residual interference due to imperfect cancellation. The proposed canceller also has a capacity improvement with the use of soft handoff in a multicell configuration.
dc.format.extent88 pages
dc.identifier.urihttps://hdl.handle.net/1828/19557
dc.rightsAvailable to the World Wide Weben_US
dc.titleA Co-channel interference cancellation technique using orthogonal convolutional codeen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
SANADA_YUKITOSHI_MASc_1995_678347.pdf
Size:
1.74 MB
Format:
Adobe Portable Document Format
Download

Collections

Electronic Theses and Dissertations (ETD)
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.