Generalized Energy Detection under Generalized Noise Channels

Nikolaos I. Miridakis, Theodoros A. Tsiftsis, Guanghua Yang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Generalized energy detection (GED) is analytically studied when operates under fast-faded channels and in the presence of generalized noise. For the first time, the McLeish distribution is used to model the underlying noise, which is suitable for both non-Gaussian (impulsive) as well as classical Gaussian noise channels. Important performance metrics are presented in closed forms, such as the false-Alarm and detection probabilities as well as the decision threshold. Analytical and simulation results are cross-compared validating the accuracy of the proposed approach in the entire signal-To-noise ratio regime. Finally, useful outcomes are extracted with respect to GED system settings under versatile noise environments and when noise uncertainty is present.

Original languageEnglish
Article number9142247
Pages (from-to)2020-2024
Number of pages5
JournalIEEE Wireless Communications Letters
Volume9
Issue number12
DOIs
Publication statusPublished - Dec 2020

Keywords

  • Cognitive radio
  • generalized energy detection
  • impulsive non-Gaussian noise
  • spectrum sensing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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