Weighted Least Squares Fit of a Real Tone to Discrete Data, by Means of an Efficient Fast Fourier Transform Search

Abstract

The weighted least squares fit of a real tone with arbitrary amplitude, frequency, and phase, to a given set of real discrete data, is reduced to a one-dimensional maximization o fa function of frequency only. This function is manipulated into a form that can be efficiently calculated by one FFT of a complex sequence that is related to the available real data and the arbitrary real weight sequence utilized. The decoupling of the complex FFT outputs, to yield the two functions that are necessary to conduct the coarse search in frequency, is accomplished in an extremely simple fashion. A refined interpolation procedure then fits a parabola in the region near the maximum and gives a fine-grained estimate of frequency. An explanation of the apparently anomalous behavior near zero and Nyquist frequencies is given, which shows that in the limit, a constant plus linear trend is being fitted to the discrete data. A program is presented for the complete procedure, including evaluation of the best frequency, amplitude, and phase of the fitted tone. The technique is applicable to short data records, without any approximations, and for arbitrary weight sequences.

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Document Details

Document Type
Technical Report
Publication Date
Aug 27, 1986
Accession Number
ADA185910

Entities

People

  • Albert H. Nuttall

Organizations

  • Naval Underwater Systems Center

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Amplitude
  • Classification
  • Coefficients
  • Decoupling
  • Errors
  • Fast Fourier Transforms
  • Fittings
  • Frequency
  • Interpolation
  • Maximum Likelihood Estimation
  • Naval Personnel
  • Noise
  • Nova Scotia
  • Security
  • Sequences
  • Signal Processing
  • Universities

Readers

  • Approximation Theory.
  • Radar Systems Engineering.