Maximum Entropy Spectral Analysis and Radar Signal Processing

Abstract

The theory and derivation of the maximum-entropy method of spectral analysis and the Burg algorithm, and the potential applicability of these techniques to radar signal processing, are reviewed. This material is presented in a readily comprehensible form for assessment by the practicing radar engineer. Topics such as computational complexity, statistical properties, adaptive clutter suppression and angular spectrum estimation are discussed. It is concluded that, at least at present, maximum-entropy spectral analysis is not a panacea for radar signal processing, due to its substantial computational requirements, and the relatively unknown and potentially unfavorable statistical properties of data analyzed using the Burg algorithm. A promising area of applicability appears to be that of adaptive Doppler filtering.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1980
Accession Number
ADA081343

Entities

People

  • R. W. Herring

Organizations

  • Communications Research Centre Canada

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Angle Of Arrival
  • Computational Complexity
  • Computational Science
  • Data Science
  • Data Sets
  • Detection
  • Doppler Effect
  • Dynamic Range
  • Estimators
  • Information Science
  • Power Spectra
  • Radar
  • Radar Signals
  • Signal Processing
  • Statistical Distributions
  • Wave Propagation

Fields of Study

  • Engineering

Readers

  • Radar Systems Engineering.
  • Statistical inference.
  • Systems Analysis and Design