Stochastic prediction techniques for wind shear hazard assessment

D. Alexander Stratton, Robert F. Stengel

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

The threat of low-altitude wind shear has prompted development of aircraft-based sensors that measure winds directly on an aircraft's intended flight path. Measurements from these devices are subject to turbulence inputs and measurement error, as well as to the underlying wind profile. In this paper stochastic estimators are developed to process onboard Doppler sensor measurements, producing optimal estimates of the winds. A stochastic prediction technique determines the level of aircraft energy performance from the wind estimates. Aircraft performance degradation algorithms presented are based on optimal estimation techniques. The prediction algorithm must balance wind shear detection performance and turbulence rejection capability, as illustrated in simulations of microburst wind shear and severe turbulence environments.

Original languageEnglish (US)
Pages (from-to)1224-1229
Number of pages6
JournalJournal of Guidance, Control, and Dynamics
Volume15
Issue number5
DOIs
StatePublished - Jan 1 1992

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Aerospace Engineering
  • Space and Planetary Science
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Stochastic prediction techniques for wind shear hazard assessment'. Together they form a unique fingerprint.

  • Cite this