DocumentCode :
1890525
Title :
On the energy detection of unknown signals in κ-μ and η-μ fading channels with diversity receivers
Author :
Annamalai, A. ; Olaluwe, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Prairie View A&M Univ., Prairie View, TX, USA
fYear :
2013
fDate :
2-6 Dec. 2013
Firstpage :
127
Lastpage :
132
Abstract :
In this article, we present two distinct moment generating function (MGF) based methods for evaluating the receiver operating characteristics (ROC) of diversity-enabled energy detectors in κ-μ and η-μ generalized fading environments and their corresponding area under the ROC curve (AUC) performance measure. In contrast to the existing approaches that are based on either the circular contour integral (i.e., MGF-residue technique) and/or infinite series representations of the generalized Marcum Q-function Qu(.,.), we utilize an exponential-type integral for Qu(.,.) to facilitate the tasks of finding the statistical expectations over the probability density function (PDF) of combiner output signal-to-noise ratio (SNR) with independent and non-identically distributed (i.n.d) fading statistics and/or correlated diversity paths. The resulting unified analytical expressions are very compact and easy to program/compute.
Keywords :
fading channels; radio receivers; sensitivity analysis; signal detection; statistical analysis; η-μ fading channels; κ-μ fading channels; AUC performance; MGF; PDF; ROC curve; SNR; circular contour integral; correlated diversity paths; distinct moment generating function; diversity receivers; diversity-enabled energy detectors; energy detection; exponential-type integral; generalized Marcum Q-function; i.n.d fading statistics; independent and nonidentically distributed fading statistics; infinite series representations; probability density function; receiver operating characteristics; signal- to-noise ratio; statistical expectations; Correlation; Detectors; Diversity methods; Diversity reception; Fading; Receivers; Signal to noise ratio; κ-μ and η-μ fading channels; diversity methods; energy detector; moment generating function method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Connected Vehicles and Expo (ICCVE), 2013 International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/ICCVE.2013.6799781
Filename :
6799781
Link To Document :
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