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
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;
Conference_Titel :
Computing, Networking and Communications (ICNC), 2014 International Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/ICCNC.2014.6785432