### 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 language | English (US) |
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Pages (from-to) | 276-277 |

Number of pages | 2 |

Journal | Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS |

Volume | 11 |

State | Published - 1997 |

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### All Science Journal Classification (ASJC) codes

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