Title :
Energy Detection Limits Under Log-Normal Approximated Noise Uncertainty
Author_Institution :
IETR, SUPELEC, Cesson Sevigne, France
fDate :
7/1/2011 12:00:00 AM
Abstract :
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.
Keywords :
approximation theory; log normal distribution; noise; probability; signal detection; SNR-wall; energy detection; false alarm function; fixed probability; log-normal approximated noise uncertainty; Approximation methods; Detectors; Mathematical model; Noise level; Signal to noise ratio; Uncertainty; Energy detection, detection limits, Log-Normal noise uncertainty, SNR-wall;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2011.2155649