Robust Kalman Filter Design for Predictive Wind Shear Detection

Alexander Stratton, Robert F. Stengei

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Severe low-altitude wind shear is a threat to aviation safety. Newly developed airborne sensors measure the radial component of wind along a line directly in front of an aircraft In this paper, we use optimal estimation theory to define a detection algorithm to warn of hazardous wind shear from these sensors. To achieve robustness, a wind shear detection algorithm must distinguish threatening wind shear from less hazardous gustiness, despite variations in wind shear structure. Statistical analysis methods to refine wind shear detection algorithm robustness are presented. Computational methods predict the ability to warn of severe wind shear and avoid false warning. Comparative capability of the detection algorithm as a function of its design parameters is determined, identifying designs that provide robust detection of severe wind shear.

Original languageEnglish (US)
Pages (from-to)1185-1194
Number of pages10
JournalIEEE Transactions on Aerospace and Electronic Systems
Issue number4
StatePublished - Oct 1993

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Electrical and Electronic Engineering


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