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 language | English |
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Article number | 9142247 |
Pages (from-to) | 2020-2024 |
Number of pages | 5 |
Journal | IEEE Wireless Communications Letters |
Volume | 9 |
Issue number | 12 |
DOIs | |
Publication status | Published - 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