Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCOMM.2010.01.070426
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dc.titleNew representations and bounds for the generalized marcum Q-function via a geometric approach, and an application
dc.contributor.authorLi, R.
dc.contributor.authorKam, P.Y.
dc.contributor.authorFu, H.
dc.date.accessioned2014-10-07T04:33:06Z
dc.date.available2014-10-07T04:33:06Z
dc.date.issued2010-01
dc.identifier.citationLi, R., Kam, P.Y., Fu, H. (2010-01). New representations and bounds for the generalized marcum Q-function via a geometric approach, and an application. IEEE Transactions on Communications 58 (1) : 157-169. ScholarBank@NUS Repository. https://doi.org/10.1109/TCOMM.2010.01.070426
dc.identifier.issn00906778
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/82754
dc.description.abstractThe generalized Marcum Q-function of order m, Qm(a, b), is interpreted geometrically as the probability of a 2m-dimensional, real, Gaussian random vector z2m, whose mean vector has a Frobenius norm of a, lying outside of a hyperball B2m o,b of 2m dimensions, with radius b, and centered at the origin O. Based on this new geometric view, some new representations and closed-form bounds are derived for Qm(a, b). For the case that m is an odd multiple of 0.5, a new closed-form representation is derived, which involves only simple exponential and erfc functions. For the case that m is an integer, a pair of new, finite-integral representations for Q m(a, b) is derived. Some generic exponential bounds and erfc bounds are also derived by computing the probability of z2m lying outside of various bounding geometrical shapes whose surfaces tightly enclose, or are tightly enclosed by the surface of B2m o,b. These bounding shapes consist of an arbitrarily large number of parts. As their closeness of fit with B2m o,b improves, our generic bounds approach the exact value of Qm(a, b). The function Qm(a, b) is proved to be an increasing function of its order when 2m is a positive integer. Thus, Qm+0.5(a, b) and Qm-0.5(a, b) can be used as tight upper and lower bounds, respectively, on Qm(a, b). Their average is a good approximation to Qm(a, b). An application of our new representations and bounds is also given. © 2010 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TCOMM.2010.01.070426
dc.sourceScopus
dc.subjectChi-square distribution
dc.subjectExponential function
dc.subjectGaussian distribution
dc.subjectGeometric view
dc.subjectMarcum Q-function
dc.subjectProbability bounds
dc.subjectRician distribution
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TCOMM.2010.01.070426
dc.description.sourcetitleIEEE Transactions on Communications
dc.description.volume58
dc.description.issue1
dc.description.page157-169
dc.description.codenIECMB
dc.identifier.isiut000273936500024
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