Performance Analysis of Recurrence Matrix Statistics for the Detection of Deterministic Signals in Noise

Abstract

Understanding the limitations to detecting deterministic signals in the presence of noise, especially additive, white Gaussian noise, is of importance for the design of LPI systems and anti-LPI signal defense. In this report, we investigate the use of recurrence plots for such detection, and we compare the performance of a recurrence-plot-based detector to a standard power-detection approach. Performance is evaluated using receiver-operator characteristic (ROC) curves.

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Document Details

Document Type
Technical Report
Publication Date
Jan 04, 2008
Accession Number
ADA475758

Entities

People

  • Frank Bucholtz
  • Jonathan M. Nichols
  • Joseph V. Michalowicz

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Background Noise
  • Data Science
  • Detection
  • Detectors
  • False Alarms
  • Gaussian Distributions
  • Gaussian Noise
  • Goodness Of Fit Tests
  • Information Science
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Radar
  • Random Variables
  • Signal Detection
  • Sine Waves
  • Warning Systems

Readers

  • Radar Systems Engineering.
  • Statistical inference.

Technology Areas

  • AI & ML