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dc.contributor.authorMandayam, Narayan B.
Aazhang, Behnaam
dc.creatorMandayam, Narayan B.
Aazhang, Behnaam
dc.date.accessioned 2007-10-31T00:52:45Z
dc.date.available 2007-10-31T00:52:45Z
dc.date.issued 1997-05-20
dc.date.submitted 2002-04-17
dc.identifier.citation N. B. Mandayam and B. Aazhang, "Gradient estimation for stochastic optimization of optical code-division multiple-access systems. II. Adaptive detection," IEEE Journal in Selected Areas in Communication, vol. 15, no. 4, 1997.
dc.identifier.urihttps://hdl.handle.net/1911/20083
dc.description Journal Paper
dc.description.abstract For pt.I see ibid., vol.15, no.4, p.731-41 (1997). We develop infinitesimal perturbation analysis (IPA)-based stochastic gradient algorithms for deriving optimum detectors with the average probability of bit error being the objective function that is minimized. Specifically, we develop both a class of linear as well as nonlinear (threshold) detectors. In the linear scheme, the receiver despreads the received optical signal with a sequence that minimizes the average bit-error rate. In the case of the threshold detector, the detection threshold for the photoelectron count is optimized to achieved minimum average bit-error rate. These algorithms use maximum likelihood estimates of the multiple access interference based on observations of the photoelectron counts during each bit interval, and alleviate the disadvantage of previously proposed schemes that require explicit knowledge of the interference statistics. Computer-aided implementations of the detectors derived are shown to outperform the correlation detector. Sequential implementations of the adaptive detectors that require no preamble are also developed, and make them very viable detectors for systems subject to temporal variations.
dc.language.iso eng
dc.publisher IEEE
dc.subjectcode division multiple access optical fibre communication optimisation parameter estimation stochastic processes adaptive signal detection optical sig
dc.title Gradient estimation for stochastic optimization of optical code-division multiple-access systems. II. Adaptive detection
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle IEEE Journal in Selected Areas in Communication
dc.date.modified 2002-04-17
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)
dc.subject.keywordcode division multiple access optical fibre communication optimisation parameter estimation stochastic processes adaptive signal detection optical sig
dc.citation.volumeNumber 15
dc.citation.issueNumber 4
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/49.585784
dc.citation.firstpage 742
dc.citation.lastpage 750


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    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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