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MAT-45806 Mathematics for positioning, 3 cr |
Robert Piche
Lecture times and places | Target group recommended to | |
Implementation 1 |
Periods 3 3 - 0 |
Exam.
Completion parts must belong to the same implementation
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To familiarise the student with the essential mathematical methods needed in positioning and navigation engineering.
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 |
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 |
Course | Corresponds course | Description |
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Description | Methods of instruction | Implementation | |
Implementation 1 | This is a parallel implementation of the Finnish language course MAT-45800. The course concentrates on mathematical concepts and tools behind the positioning and navigation algorithms, which are meant to be applied on the follow-up course TKT-2540. The course is lectured in Finnish, but the course notes are available also in English for self-study. The exercise sessions and exam will be held in English if needed. | Excercises |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |