TIE-52206 Inertial Sensors and Their Applications, 5 cr

Additional information

Suitable for postgraduate studies.

Person responsible

Jussi Collin

Lessons

Implementation Period Person responsible Requirements
TIE-52206 2017-01 3 - 4 Jussi Collin
Jussi Parviainen
Exercises and project work.

Learning Outcomes

After completing the course, the student can analyze inertial sensor requirements and their design parameters. Student can design inertial sensor applications, including inertial navigation, and understands the limits of consumer-grade sensors.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Sensor requirements, design parameters, basic principles of inertial sensor technology   optical gyroscopes   
2. Inertial navigation principles, coordinate frames   Tranformations between coordinate frames.  local level frame rotation 
3. Self-contained sensors: accelerometers and gyroscopes. Magnetometers, barometric altimeters. Sensor errors and related inertial sensor terminology  1/f noise, Allan variance   
4. Strapdown inertial navigation algorithms  sampling effects, coning motion  coning correction 
5. Filtering inertial sensor signals, Kalman filter  Non-linear filtering, particle filters, orientation estimation  Map-matching, indexing 
6. Applications: Pedestrian Dead Reckoning, orientation (UI), motion mode classification, games.   North finding with MEMS gyroscopes   

Study material

Type Name Author ISBN URL Additional information Examination material
Book   Principles of GNSS, inertial, and multisensor integrated navigation systems   P. D., Groves   ISBN-10: 1580532551       No   
Book   Strapdown Inertial Navigation Technology   D. H. Tittertton   1 56347 693 2     Second Edition   No   
Lecture slides   Lecture slides: TIE-52206 Inertial Sensors and their Applications           No   

Prerequisites

Course Mandatory/Advisable Description
SGN-11000 Signaalinkäsittelyn perusteet Advisable    

Additional information about prerequisites
Students are expected to be familiar with basic matrix algebra. Advisable background knowledge includes familiarity with sensor technologies (eg. ASE-3036 Microsensors) and positioning methods (eg. ELT-46006 Introduction to Satellite Positioning).



Correspondence of content

Course Corresponds course  Description 
TIE-52206 Inertial Sensors and Their Applications, 5 cr TKT-2556 Basics of Inertial Navigation, 5 cr  

Updated by: Collin Jussi, 04.04.2017