NDLI: Unified analysis of energy detectors with diversity reception in generalised fading channels

Content Provider	IET Digital Library
Author	Adebola, Eyidayo Annamalai, Annamalai
Abstract	In this paper, the authors present a novel moment generating function-based technique to unify the performance evaluation of an average energy detector for detecting unknown deterministic signals over generalised fading environments (including the η-μ, κ-μ, α-μ, K, G and KG generalised fading distributions) with diversity reception. Specifically, the authors exploit a known exponential-type integral representation for the generalised Marcum Q-function Qv (a, b) that is valid for any ratio of a/b but for positive integer order v to greatly simplify the task of finding the statistical expectations over the fading signal-to-noise ratio random variables in the computation of the average detection probability metric. This new approach leads to a very compact and an elegant solution for many practical cases of interest including the independent but non-identically distributed fading statistics and/or arbitrarily correlated diversity branches in maximal-ratio combining, square-law combining and square-law selection diversity receivers. The authors’ numerical results also show that the performance of average energy detector is superior to the classical total energy detector with the increasing number of samples owing to the noise averaging effect. We have also demonstrated the versatility and utility of the proposed analytical framework to investigate the impact of dissimilar mean signal strengths, fading parameters, time-bandwidth product, diversity order and signal combining techniques on the receiver operating characteristics of diversity energy detectors in a myriad of fading environments that had heretofore resisted simple solutions.
Starting Page	3095
Ending Page	3104
Page Count	10
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 17, Nov (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2014.0199
Journal	IET Communications
Publisher Date	2014-09-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Average Detection Probability Metric Distributed Fading Statistics Diversity Energy Detectors Diversity Order Diversity Reception Fading Channel Generalised Fading Channel Generalised Marcum Q-function KG Generalised Fading Distribution Maximal Ratio Combining Performance Evaluation Radio Link And Equipment Radio Receiver Signal Combining Signal Detection Signal to Noise Ratio Square Law Combining Square Law Selection Diversity Receiver Α-μ Fading Channels Η-μ Fading Channels Κ-μ Fading Channels
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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