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dc.contributor.authorSengupta, Chaitali
Cavallaro, Joseph R.
Aazhang, Behnaam
dc.creatorSengupta, Chaitali
Cavallaro, Joseph R.
Aazhang, Behnaam 2007-10-31T01:05:54Z 2007-10-31T01:05:54Z 2001-03-20 2001-09-20
dc.description Journal Paper
dc.description.abstract This paper focuses on the design of a multiuser receiver structure for the reverse link of a code-division multiple-access communication system, in the presence of multipath effects and using an antenna array at the base station receiver. The algorithm presented in this paper solves the complex multidimensional problem of channel estimation in this complex scenario using a maximum-likelihood approach. This channel estimation technique requires the transmission of a training sequence or feedback of detected data. Once a composite channel-impulse response of each user is estimated, it is directly used in the detection process instead of first extracting the individual channel parameters, such as path delays and attenuation factors. The paper presents a framework that facilitates a computationally efficient solution to the combined problem of channel estimation and detection in a scenario involving multiple users, multiple paths, and multiple sensors at the receiver.
dc.description.sponsorship Texas Advanced Technology Program
dc.description.sponsorship Nokia
dc.description.sponsorship National Science Foundation
dc.language.iso eng
channel estimation
multiple sensors
dc.title On Multipath Channel Estimation for CDMA Systems Using Multiple Sensors
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle IEEE Transactions on Communications 2003-11-10
dc.contributor.orgCenter for Multimedia Communications (
channel estimation
multiple sensors
dc.citation.volumeNumber 49
dc.citation.pageNumber 543-553
dc.citation.issueNumber 3
dc.type.dcmi Text
dc.identifier.citation C. Sengupta, J. R. Cavallaro and B. Aazhang, "On Multipath Channel Estimation for CDMA Systems Using Multiple Sensors," IEEE Transactions on Communications, vol. 49, no. 3, pp. 543-553, 2001.

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  • ECE Publications [1074]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • CMC Publications [275]
    Publications by Rice Faculty and graduate students in multimedia communications

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