Paper Info
Title
New asymptotics for performance of energy detector
Abstract
Performance analysis of the energy detector (ED) in fading channels has received enormous attention recently. However, averaging the generalized Marcum-Q function over fading statistics often results in complicated special functions and/or infinite series based expressions. Motivated by the need for simple expressions without compromising the accuracy, we propose a new representation for the probability density function (PDF) of the fading channel gain. This representation is then used to derive simple, unified expression for asymptotic miss-detection probability in closed-form. The derived expression is evaluated for several fading channels and antenna diversity schemes. Numerical results reveal its high accuracy over a wide range of signal-to-noise-ratio (SNR) (as low as 0 dB) unlike the existing asymptotic expression which is accurate only for high SNR regime (say, SNR ≥ 20 dB).
Year
DOI
Venue
2014
10.1109/GLOCOM.2014.7037436
Global Communications Conference
Keywords
Field
DocType
antennas,diversity reception,fading channels,probability,series (mathematics),signal detection,ED,Marcum-Q function,PDF,SNR,antenna diversity scheme,asymptotic missdetection probability,energy detector performance,fading channel,fading statistics,infinite series based expression,probability density function,signal-to-noise-ratio,Energy detector,diversity combining,fading
Antenna diversity,Diversity scheme,Rayleigh fading,Fading,Algorithm,Real-time computing,Fading distribution,Statistics,Asymptotic analysis,Probability density function,Mathematics,Channel state information
Conference
ISSN
Citations 
PageRank 
2334-0983
2
0.39
References 
Authors
9
3
Name
Order
Citations
PageRank
Vesh Raj Sharma Banjade171.33
C. Tellambura24889374.02
Hai Jiang32173139.46