DocumentCode
124581
Title
Energy detection of unknown deterministic signals in κ-μ and η-μ generalized 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
2014
fDate
3-6 Feb. 2014
Firstpage
761
Lastpage
765
Abstract
In this article, we present an alternative moment generating function (MGF) based method for evaluating the receiver operating characteristics (ROC) of diversity energy detectors in a generalized fading environment. In contrast to the existing approaches that are based on either the circular contour integral and/or infinite series representations of the generalized Marcum Q-function Qu(.,.), we utilize an exponential-type integral for Qu(.,.) to facilitate the statistical averaging task over the independent and non-identically distributed (i.n.d) fading signal-to-noise ratios (SNRs). This leads to a very compact, exact, and an efficient solution for computing the average detection probabilities of diversity enabled energy detectors in a myriad of fading environments especially for the practical cases of square law selection (SLS) and square-law combining (SLC) diversity receivers with i.n.d and correlated fading statistics. Our unified analytical framework also encapsulates the existing results for Rayleigh, Nakagami-m, Nakagami-q and Rice fading environments by appropriate substitutions of the fading parameters in the κ-μ and η-μ generalized stochastic channel models.
Keywords
Nakagami channels; Rayleigh channels; Rician channels; diversity reception; probability; signal detection; statistical analysis; η-μ generalized fading channel; κ-μ generalized fading channel; MGF-based method; Nakagami-m fading environment; Nakagami-q fading environment; Rayleigh fading environment; Rice fading environment; SLC diversity receiver; SLS diversity receiver; average detection probability; circular contour integral; correlated fading statistics; diversity energy detectors; exponential-type integral; generalized Marcum Q-function; i.n.d fading signal-to-noise ratio; independent-nonidentically-distributed fading SNR; infinite series representations; moment generating function; receiver operating characteristics; square-law combining diversity receiver; square-law selection diversity receiver; statistical averaging task; unknown deterministic signal; Cognitive radio; Detectors; Diversity reception; Rayleigh channels; Receivers; Signal to noise ratio; κ-μ and η-μ fading channels; energy detection; maximal-ratio combining; moment generating function method; square-law combining; square-law selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Networking and Communications (ICNC), 2014 International Conference on
Conference_Location
Honolulu, HI
Type
conf
DOI
10.1109/ICCNC.2014.6785432
Filename
6785432
Link To Document