deposit_your_work

Channel estimation for code division multiple access communication systems

Files in this item

Files Size Format View
1360024.PDF 1.812Mb application/pdf Thumbnail

Show simple item record

Item Metadata

dc.contributor.advisor Aazhang, Behnaam
dc.creator Bensley, Stephen Edward
dc.date.accessioned 2009-06-03T23:53:11Z
dc.date.available 2009-06-03T23:53:11Z
dc.date.issued 1994
dc.identifier.uri http://hdl.handle.net/1911/13813
dc.description.abstract We consider the estimation of channel parameters for code division multiple access (CDMA) communication systems operating over channels with either single or multiple propagation paths. We present two approaches for decomposing this multiuser channel estimation problem into a series of single user problems. In the first method, the interfering users are treated as colored, non-Gaussian noise, and the maximum likelihood estimate is formed from the sample mean and sample covariance matrix of the received signal. In the second method, we exploit the eigenstructure of the sample correlation matrix to partition the observation space into a signal subspace and a noise subspace. The channel estimate is formed by projecting a given user's spreading waveform into the estimated noise subspace and then either maximizing the likelihood or minimizing the Euclidean norm of this projection. Both of these approaches yield algorithms which are near-far resistant and are capable of tracking slowly varying channels.
dc.format.extent 62 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subject Engineering, Electronics and Electrical
dc.title Channel estimation for code division multiple access communication systems
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Electrical and Computer Engineering
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science
dc.identifier.citation Bensley, Stephen Edward. (1994) "Channel estimation for code division multiple access communication systems." Masters Thesis, Rice University. http://hdl.handle.net/1911/13813.

This item appears in the following Collection(s)