Detection of Moving Targets by adaptive Clutter Suppression

Abstract

An adaptive filtering method is developed for detecting a moving target in the presence of strong interference. The motion of the target is utilized to create a high frequency component in the observed signal. The filtering is performed in terms of the running transform of the data and the local statistics of the interference. Other problems considered include spectral estimation and image restoration by extrapolation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1981
Accession Number
ADA102273

Entities

People

  • A. Papoulis

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Autocorrelation
  • Data Science
  • Detection
  • Detectors
  • Extrapolation
  • Frequency Domain
  • Information Science
  • Linear Systems
  • Power Spectra
  • Probability
  • Random Variables
  • Signal Processing
  • Spectra
  • Stationary Processes
  • Statistical Algorithms
  • Statistics

Fields of Study

  • Engineering
  • Physics

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.