Course Catalog 2009-2010 Postgraduate Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Person responsible

Robert Piche

Implementations

No implementations

Requirements

Exam.
Completion parts must belong to the same implementation

Principles and baselines related to teaching and learning

-

Learning outcomes

To familiarise the student with the essential mathematical methods needed in positioning and navigation engineering.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Review of probability and the multivariable normal distribution	Conditional probability density
2.	Static positioning, measurement equations, least squares method	Sensitivity analysis, closed form positioning formulas
3.	Kalman filter, Bayesian filter	Nonlinear Kalman filters, Monte Carlo integration

Study material

Type	Name	Author	ISBN	URL	Edition, availability, ...	Examination material	Language
Summary of lectures	Mathematics for Positioning	S. Ali-Löytty et al.			download from course home page		English
Summary of lectures	Mathematics for Positioning 2010	S. Ali-Löytty et al.			download from course home page		English

Correspondence of content

Last modified	23.12.2009
Modifier	Simo Ali-Löytty