Research Article
Fast and Reliable Sensing Using a Background Process for Noise Estimation
@INPROCEEDINGS{10.4108/icst.crowncom.2011.245863, author={Dorin Panaitopol and Abdoulaye Bagayoko and Philippe Delahaye and Lanto Rakotoharison}, title={Fast and Reliable Sensing Using a Background Process for Noise Estimation}, proceedings={6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2012}, month={5}, keywords={Cognitive Radio Primary User Detection Spectrum Sensing Energy Detector Noise Estimation Opportunistic Access}, doi={10.4108/icst.crowncom.2011.245863} }- Dorin Panaitopol
Abdoulaye Bagayoko
Philippe Delahaye
Lanto Rakotoharison
Year: 2012
Fast and Reliable Sensing Using a Background Process for Noise Estimation
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2011.245863
Abstract
This paper presents an efficient way to ensure a good detection performance by implementing algorithms running in background a reliable noise estimation process. The proposed solution operates at two different time scales: a slow time scale to determine in adjacent sub-bands the supposed slowly varying noise level, and a faster time scale to determine in the band of interest the presence of signal, using a reliable energy detection solution. In order to identify the free bands where the noise variance can be estimated, the paper describes several blind and semi-blind strategies based on the statistical properties of the received signal. One of the benefits of the proposed solution is that the output of the described algorithm can populate the database of free/occupied bands, which classically needs to be regularly updated in a cognitive radio architecture.