An Automated Energy Detection Algorithm Based on Morphological Filter Processing with a Modified Watershed Transform

Abstract

This report is the application of morphological image 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. Initially, a modified watershed transform was applied to form an envelope of the spectral data. Then a morphological opening operation was applied to the spectral envelope data to establish the noise floor. Using this noise floor estimation, an energy detection threshold was determined.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2018
Accession Number
AD1047086

Entities

People

  • Kwok F. Tom

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Data Acquisition
  • Detection
  • Drainage Basins
  • False Alarms
  • Frequency
  • Image Processing
  • Information Processing
  • Information Science
  • Measurement
  • Military Research
  • Normal Distribution
  • Observation
  • Probability
  • Spectra
  • Statistical Analysis
  • Statistics

Fields of Study

  • Engineering

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