{"title":"实阶广义marcum q函数的指数型积分表示及其应用","authors":"A. Annamalai","doi":"10.1109/MICC.2015.7725405","DOIUrl":null,"url":null,"abstract":"This article derives new “exponential-type” contour and finite-range integral representations for the generalized M-th order Marcum Q-function Q<sub>M</sub>(α, β) when its real order M>0 is not necessarily an integer. These new forms have both computational and analytical utilities, and are very attractive for computing the statistical expectations of all three functions of the form Q<sub>M</sub>(a√γ, b√γ) and Q<sub>M</sub>(a√γ, b) with respect to the probablility density function of γ random variable. This feature is not possible with the existing trigonometric integral representations for Q<sub>M</sub>(α, β) due to the presence of cross-product terms. We also show that all known exponential-type integral representations for Q<sub>M</sub>(α, β) discovered by Helstom [2], Simon [15], Tellambura et. al. [9] and Annamalai et. al. [10] can be obtained from our contour integral via appropriate variable substutions. Several applications of our novel integral representations of Q<sub>M</sub>(α, β) are also provided such as the evaluation of the receiver operating characteristics (ROC) and the partial area under the ROC curves of diversity-enabled energy detectors, and unified error probability analyses of coherent, differentially coherent and noncoherent binary and quaternary digital modulations in a myriad of fading environments.","PeriodicalId":225244,"journal":{"name":"2015 IEEE 12th Malaysia International Conference on Communications (MICC)","volume":"590 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"New exponential-type integral representations of the generalized marcum Q-function of real-order with applications\",\"authors\":\"A. Annamalai\",\"doi\":\"10.1109/MICC.2015.7725405\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article derives new “exponential-type” contour and finite-range integral representations for the generalized M-th order Marcum Q-function Q<sub>M</sub>(α, β) when its real order M>0 is not necessarily an integer. These new forms have both computational and analytical utilities, and are very attractive for computing the statistical expectations of all three functions of the form Q<sub>M</sub>(a√γ, b√γ) and Q<sub>M</sub>(a√γ, b) with respect to the probablility density function of γ random variable. This feature is not possible with the existing trigonometric integral representations for Q<sub>M</sub>(α, β) due to the presence of cross-product terms. We also show that all known exponential-type integral representations for Q<sub>M</sub>(α, β) discovered by Helstom [2], Simon [15], Tellambura et. al. [9] and Annamalai et. al. [10] can be obtained from our contour integral via appropriate variable substutions. Several applications of our novel integral representations of Q<sub>M</sub>(α, β) are also provided such as the evaluation of the receiver operating characteristics (ROC) and the partial area under the ROC curves of diversity-enabled energy detectors, and unified error probability analyses of coherent, differentially coherent and noncoherent binary and quaternary digital modulations in a myriad of fading environments.\",\"PeriodicalId\":225244,\"journal\":{\"name\":\"2015 IEEE 12th Malaysia International Conference on Communications (MICC)\",\"volume\":\"590 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 12th Malaysia International Conference on Communications (MICC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MICC.2015.7725405\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 12th Malaysia International Conference on Communications (MICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICC.2015.7725405","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
本文导出了广义M阶Marcum q函数QM(α, β)在实阶M>不一定是整数时的新的“指数型”轮廓和有限值域积分表示。这些新形式具有计算和分析的双重效用,对于计算QM(a√γ, b√γ)和QM(a√γ, b)形式的三个函数相对于随机变量γ的概率密度函数的统计期望非常有吸引力。由于交叉积项的存在,现有的QM(α, β)的三角积分表示不可能实现该特征。我们还证明了Helstom [2], Simon [15], Tellambura et al.[9]和Annamalai et al.[10]等人发现的QM(α, β)的所有已知指数型积分表示都可以通过适当的变量替换从我们的轮廓积分中得到。我们的QM(α, β)的新颖积分表示还提供了一些应用,例如评估接收器工作特性(ROC)和基于分集的能量检测器的ROC曲线下的部分面积,以及在无数衰落环境中对相干、差分相干和非相干二进制和四元数字调制的统一误差概率分析。
New exponential-type integral representations of the generalized marcum Q-function of real-order with applications
This article derives new “exponential-type” contour and finite-range integral representations for the generalized M-th order Marcum Q-function QM(α, β) when its real order M>0 is not necessarily an integer. These new forms have both computational and analytical utilities, and are very attractive for computing the statistical expectations of all three functions of the form QM(a√γ, b√γ) and QM(a√γ, b) with respect to the probablility density function of γ random variable. This feature is not possible with the existing trigonometric integral representations for QM(α, β) due to the presence of cross-product terms. We also show that all known exponential-type integral representations for QM(α, β) discovered by Helstom [2], Simon [15], Tellambura et. al. [9] and Annamalai et. al. [10] can be obtained from our contour integral via appropriate variable substutions. Several applications of our novel integral representations of QM(α, β) are also provided such as the evaluation of the receiver operating characteristics (ROC) and the partial area under the ROC curves of diversity-enabled energy detectors, and unified error probability analyses of coherent, differentially coherent and noncoherent binary and quaternary digital modulations in a myriad of fading environments.