Accession Number : AD1045074


Title :   An Automated Energy Detection Algorithm Based on Kurtosis-Histogram Excision


Descriptive Note : Technical Report,01 Oct 2016,30 Sep 2017


Corporate Author : US Army Research Laboratory Adelphi United States


Personal Author(s) : Tom,Kwok F


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1045074.pdf


Report Date : 01 Jan 2018


Pagination or Media Count : 46


Abstract : This report is the result of applying statistical processing techniques to the energy detection scenario of signals in the RF spectrum domain. The algorithm was developed after examining the collected RF spectral data files and revisiting a previous effort on prognostics and diagnostics on ball bearing fault detection. The algorithm automatically establishes a detection threshold based on the data of the RF spectrum measurement. It is able to determine the threshold level even when there are signals present in the RF spectrum.


Descriptors :   algorithms , detection , radiofrequency , histograms , statistical analysis , Gaussian distributions , energy


Subject Categories : Radiofrequency Wave Propagation
      Statistics and Probability


Distribution Statement : APPROVED FOR PUBLIC RELEASE