University of Calgary

ENGO 629 - Adv Estimation Methods & Analysis - Winter 2018

Introduction of different estimation criteria, error sources in estimation, modeling and testing requirements. Advanced least squares method, estimation equations and analysis. Random processes, dynamic models, Kalman filter equations and analysis. Implementation aspects. Concept of signal, least squares collocation equations and applications. Robust estimation principle and robustified least squares and Kalman filter. Data modeling issue in estimation, functional and stochastic model development for least squares and Kalman filter. Error analysis, conventional and robust statistical testing methods and analysis. Applications to geomatics engineering problems in geodesy, positioning and navigation, photogrammetry, etc.
This course may not be repeated for credit.

Hours

  • H(3-0)

Sections

This course will be offered next in Fall 2018.
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