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Energy Detection Limits Under Log-Normal Approximated Noise Uncertainty
44
Citations
8
References
2011
Year
Noise MitigationStatistical Signal ProcessingEnergy Detection LimitsEngineeringMeasurementUncertainty QuantificationEntropyEnergy DetectorUncertainty PrincipleNoiseSignal ProcessingMild ApproximationsUncertainty RepresentationSignal DetectionApproximation TheoryUncertainty ModelingNoise Uncertainty
We revisit, in this letter, the impact of noise uncertainty on the performance of the well known energy detector. Mainly, we reconsider the case of a Log-Normal approximated noise uncertainty suggested in the work of Alexander Sonnenschein and Philip M. Fishman. We show that under a Log-Normal noise uncertainty, closed form expressions of the detector's performances and limits can be provided. Thus we show that, relying on mild approximations, we can design a detector with a fixed probability of false alarm function of the uncertainty, and present a new expression of the SNR-wall that depends on the desired performances of the detector as well as the introduced uncertainty parameter.
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