Paper Info
Title
Effects of Noise Power Estimation on Energy Detection for Cognitive Radio Applications
Abstract
An uncertain knowledge of the noise power level can severely limit the energy detector (ED) spectrum sensing capability. In some situations this uncertainty can cause signal-to-noise ratio (SNR) penalties or even the rise of the SNR wall phenomenon. In this paper we analyze the performance of the ED with estimated noise power (ENP), addressing the threshold design and giving the conditions for the existence of the SNR wall. We derive analytical expressions for the design curves (SNR vs. observation time for a target performance) for the ENP-ED. Then we apply our analysis to cognitive radio (CR) systems where energy detection is used for fast sensing. For example it is shown that the SNR penalty with respect to ideal ED is of 5 log10(1+λ/λ) dB, when the time dedicated to noise power estimation is a multiple λ of the ED observation interval.
Year
DOI
Venue
2011
10.1109/TCOMM.2011.102011.100708
IEEE Transactions on Communications
Keywords
Field
DocType
cognitive radio,noise,ENP-ED,SNR wall,cognitive radio applications,energy detection,energy detector spectrum sensing capability,estimated noise power,noise power estimation,Energy detection,SNR wall,noise power estimation,noise uncertainty
Noise power,Noise measurement,Expression (mathematics),Computer science,Signal-to-noise ratio,Maximum likelihood,Electronic engineering,Uncertain systems,Detector,Cognitive radio
Journal
Volume
Issue
ISSN
59
12
0090-6778
Citations 
PageRank 
References 
84
3.21
13
Authors
3
Name
Order
Citations
PageRank
Andrea Mariani11659.14
Andrea Giorgetti224015.57
Marco Chiani31869134.93