An Automated Energy Detection Algorithm Based on Morphological and Statistical Processing Techniques

reportActive / Technical Report | Accession Number: AD1047096 | Open PDF

Abstract:

This report is the result of applying morphological image and statistical processing techniques to the energy detection scenario of signals in the RF spectrum domain. 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.

Author(s):
Tom, Kwok F
Author Organization(s):
US Army Research Laboratory Adelphi United States
Descriptive Note:
Technical Report,01 Oct 2016,30 Sep 2017
Pagination:
0070

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release;

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
ARL-TR-8272
 Subject Terms
Joint Capability Areas:
JCA_6.3.3_Spectrum Management; JCA_6_Net Centric; JCA_6.3_Net Management; JCA_5_Command and Control; JCA_6.1_Information Transport; JCA_5.3_Planning; JCA_8_Building Partnerships
Modernization Areas:
Directed Energy
Communities of Interest:
Energy and Power Technologies
Descriptor(s):
erosion, statistical processes, algorithms, statistical analysis, moments, mean, standard deviation, RADIO FREQUENCY SPECTRUM ANALYZERS, image processing
Field(s)/Group(s):
Numerical Mathematics, Statistics and Probability
Keyword(s):
RF spectrum, morphological imaging processing, detection threshold algorithm, dilation, opening
Report Date:
2018 Jan 09
Creation Date:
2018 Feb 15