Spectral Estimation by Means of Overlapped Fast Fourier Transform Processing of Windowed Data

Abstract

An investigation of power-density autospectrum estimation by means of overlapped Fast Fourier Transform (FFT) processing of windowed data is conducted for four candidate spectral windows with good side-lobe behavior. A comparison of the four spectral windows is made on the basis of equal half-power resolution bandwidths. The criteria for comparison are statistical stability of the spectral estimates, leakage (side lobes) of the spectral windows, number of FFTs (number of overlapped pieces) required, and size of each FFT required. Some striking invariances are discovered in the ultimate variance-reduction capabilities and in the number of FFTs required to realize 99 percent (or less) of the maximum EDF. The only trade-off among the four windows is that those with better side lobes require larger-size FFTs.

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Document Details

Document Type
Technical Report
Publication Date
Oct 13, 1971
Accession Number
AD0739315

Entities

People

  • Albert H. Nuttail

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Bandwidth
  • Computer Programming
  • Continuous Processing
  • Covariance
  • Data Processing
  • Data Science
  • Discrete Fourier Transforms
  • Equations
  • Fast Fourier Transforms
  • Fourier Transformation
  • Frequency
  • Frequency Domain
  • Gaussian Processes
  • Information Science
  • Integrals
  • Intervals
  • Numbers

Fields of Study

  • Engineering

Readers

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  • Radar Systems Engineering.
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