Statistical Cross-Correlation Algorithms for Temporal Pulse Profiles

Abstract

Two statistical techniques are presented for comparing temporal pulse trains received from an Electronic Support receiver to a priori templates representing the expected behaviour of radar signals. The techniques implement a specialized cross-correlation procedure and incorporate the effects of non-cumulative jitter. A theoretical basis is presented in which the signal of interest is modeled to be present in a noisy channel. The channel noise may include the failure to detect some expected pulses along with the detection of unexpected pulses. The methods are compared to the more straightforward approaches based on cross-correlation histograms and a simulated example scenario is presented.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2004
Accession Number
ADA436208

Entities

People

  • Fred A. Dilkes

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Autocorrelation
  • Correlation Techniques
  • Cross Correlation
  • Data Science
  • Detection
  • Histograms
  • Information Science
  • National Security
  • Pattern Recognition
  • Probability
  • Radar Signals
  • Random Variables
  • Security
  • Signal Processing
  • Template Patterns

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.

Technology Areas

  • Microelectronics