Target Classification by Time Domain Analysis of Radar Signatures.

Abstract

The purpose of this investigation is to examine a time domain pattern recognition algorithm which will identify targets by analysis of their radar signatures. The essence of the algorithm is a conversion of an analog waveform to a binary sequence, from which binary words are selected as attributes. The selection of attributes is a heuristic, nonexhaustive process, and each target is eventually described in a statistical sense by the frequency of occurrence of the binary attributes. A relationship between this Frequency of Occurrence of Binary Words method and the Fourier transform is also known. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1977
Accession Number
ADA055221

Entities

People

  • Delbert Glenn Kulchak

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Aspect Angle
  • Computer Programming
  • Databases
  • Doppler Effect
  • Electrical Engineering
  • Frequency
  • Pattern Recognition
  • Plastic Explosives
  • Radar Signatures
  • Recognition
  • Signal Processing
  • Target Classification
  • Test Sets
  • Time Domain
  • Waveforms

Readers

  • Radar Systems Engineering.
  • Regression Analysis.

Technology Areas

  • AI & ML