Application of a constrained linear inversion algorithm for removing turbulent broadening in Doppler power spectra

Research output: Contribution to journalArticle

Abstract

A method was developed to deconvolve turbulence broadening in radar Doppler spectra. The developed method is based on linear algebra techniques which allow incorporation of a priori knowledge about the expected solution. The performance of the method was confirmed using both simulated and observed data.

Original languageEnglish (US)
Pages (from-to)501-504
Number of pages4
JournalConference on Radar Meteorology
StatePublished - 1999

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Doppler radar
Linear algebra
Power spectrum
Turbulence
turbulence
inversion
method

All Science Journal Classification (ASJC) codes

  • Atmospheric Science
  • Electrical and Electronic Engineering

Cite this

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title = "Application of a constrained linear inversion algorithm for removing turbulent broadening in Doppler power spectra",
abstract = "A method was developed to deconvolve turbulence broadening in radar Doppler spectra. The developed method is based on linear algebra techniques which allow incorporation of a priori knowledge about the expected solution. The performance of the method was confirmed using both simulated and observed data.",
author = "Babb, {David Malcolm} and Johannes Verlinde",
year = "1999",
language = "English (US)",
pages = "501--504",
journal = "Conference on Radar Meteorology",

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