2001
DOI: 10.1002/wcm.15
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Cauchy–Schwarz bound on the generalized Marcum Q‐function with applications

Abstract: The Cauchy-Schwarz bounding technique is used to derive useful bounds on the generalized Marcum Q-function and its complement. Three new exponential-type bounds on Q M (˛,ˇ) are derived, and these are found to be tight and useful for a number of applications of interest. One such example is the derivation of an upper bound on the average symbol error rate probability for noncoherent and differentially coherent communication systems over generalized fading channels. It is shown that these exponential-type bound… Show more

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Cited by 29 publications
(18 citation statements)
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“…We also prove that Q m+0.5 (a, b) and Q m−0.5 (a, b) are, respectively, upper and lower bounds on Q m (a, b), irrespective of whether n is even or odd. Thus, for the case of even n, or equivalently integer m, Q m (a, b) can be bounded by Q m+0.5 (a, b) and Q m−0.5 (a, b) which can be evaluated using our new representation for odd n. Our numerical results show that these new bounds are very tight, much tighter than the existing bounds available in the literature [5], [6] in most cases, and their average also approximates Q m (a, b) very well.…”
Section: Introductionmentioning
confidence: 60%
“…We also prove that Q m+0.5 (a, b) and Q m−0.5 (a, b) are, respectively, upper and lower bounds on Q m (a, b), irrespective of whether n is even or odd. Thus, for the case of even n, or equivalently integer m, Q m (a, b) can be bounded by Q m+0.5 (a, b) and Q m−0.5 (a, b) which can be evaluated using our new representation for odd n. Our numerical results show that these new bounds are very tight, much tighter than the existing bounds available in the literature [5], [6] in most cases, and their average also approximates Q m (a, b) very well.…”
Section: Introductionmentioning
confidence: 60%
“…Since, the precise computation of the Marcum Q -function, generalized Marcum Q -function, respectively is quite difficult, in the last few decades many engineers, statisticians and mathematicians established approximation formulas and bounds for the function b → Q ν (a, b). For more details on approximations, lower and upper bounds we refer to the most recent papers [2,5,7,9,12,13,20,21,27,28] and to the references therein. In this field ν is the number of independent samples of the output of a square-law detector, and hence in most of the papers the authors deduce lower and upper bounds for the generalized Marcum Q -function with order ν integer.…”
Section: Introduction and Preliminary Resultsmentioning
confidence: 99%
“…We now show some numerical results, and compare the tightness of our new bounds on Q m (a, b) in Section II with the tightness of the existing exponential bounds in [5], [6].…”
Section: Comparison and Numerical Resultsmentioning
confidence: 92%
“…(18)]. Our new bounds include the generic exponential bounds GUBm1-KL in (5) and GLBm1-KL in (6). For simplicity, we just choose equispaced points for the parameter θ i in GUBm1-KL and GLBm1-KL, i.e., θ i = iπ/N .…”
Section: A Bounds For the Case Of B > Amentioning
confidence: 98%
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