Stochastic prediction techniques for wind shear hazard assessment

D. Alexander Stratton, Robert F. Stengel

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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
Issue number5
StatePublished - 1992

All Science Journal Classification (ASJC) codes

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


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