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MAT-45806 Mathematics for positioning, 3 cr |
Robert Piche
No implementations
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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