Compensation Method for the Estimation of the Autospectral Density Function of the Unevenly Spaced HIFiRE-1 Flight Data (Postprint)

Abstract

The time series data collected during the HIFiRE-1 flight experiment was sampled unevenly due to telemetry dropouts and the sampling scheme selected. Sampling unevenly results in frequency translation of power to artificial sidelobes. These sidelobes distort the real and imaginary components of the Fourier transform such that the spectrum of the sampled data no longer represents the spectrum of the physical process generating the data. These sidelobes can be eliminated by resampling the data onto an evenly spaced grid at the cost of under predicting the power of the higher frequency components in the data. In this paper, a compensation procedure is developed to recover the power loss caused by resampling. This compensation procedure is suitable for stochastic time series data having red-noise spectra such as the pressure fluctuations recorded underneath laminar and turbulent boundary layers.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2013
Accession Number
ADA588995

Entities

People

  • Roger L. Kimmel
  • Scott A. Stanfield

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Boundaries
  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Data Analysis
  • Fluid Dynamics
  • Fluid Mechanics
  • Frequency
  • Information Science
  • Layers
  • Least Squares Method
  • Pressure Measurement
  • Sampling
  • Turbulent Boundary Layer
  • United States

Readers

  • Control Systems Engineering.
  • Radio communications and signal processing.
  • Statistical inference.

Technology Areas

  • Space
  • Space - Space Objects