Kalman filtering of wind velocity measurements by use of a first order Gauss-Markov model

Eric P. Magee, Timothy Joseph Kane

Research output: Contribution to journalArticle

Abstract

A discrete Kalman filter was applied to measure wind velocity using Gauss-Markov (G-M) process to model the random nature of the velocity. The performance of the filter was not strongly dependent on the model parameters. For measurement variance on the order of 1 (m/s)2, there was little or no improvement in the estimate of the velocity. For measurement variance below about 0.8 (m/s)2, the implementation of the filter degraded the estimate. As the measurement variance increased, the amount of improvement added by the filter approached a constant value.

Original languageEnglish (US)
Pages (from-to)276-277
Number of pages2
JournalConference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS
Volume11
StatePublished - 1997

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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