Information Package

Program of Electrical and Electronics Engineering (English 30%)

EEM429

INTRODUCTION TO ANS/GNSS NAVIGATION SYSTEMS

Course Code
EEM429
Semester
-
Theory+Practice
3 + 1
ECTS
5
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS5
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Analyze random variable systems.
  2. Analyze and design filters for random variable systems.
  3. Analyze and design Kalman filters.
  4. Model inertial navigation sensors and systems.
  5. Use and design inertial navigation systems.
  6. Understand satellite navigation systems, advantages and limitations.
  7. Understand navigation system errors and able to model them.
  8. Understand and analyze different INS GNSS integration techniques.
  9. Design and demonstrate INS GNSS integrated navigation system.
  10. Prepare technical presentation and present it in English.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsEEE301 Signals and Systems I EEE310 Signals and Systems II EEE311 Control Systems
Course Description.
Course Contents
WEEK TOPICS
1st Week Review of State Space
2nd Week Review of Random Variables and Random Processes
3rd Week Review of Filtering
4th Week Kalman Filters, Properties and Design
5th Week Kalman Filters, Properties and Design
6th Week Inertial Navigation Sensors and sensor modelling
7th Week Inertial Navigation Systems
8th Week Inertial Navigation Systems
9th Week Global Satellite Navigation Systems
10th Week INS/GNSS integrated navigation systems
11th Week INS/GNSS integrated navigation systems
12th Week Design of INS/GNSS integrated navigation systems
13th Week Term Project
14th Week Term Project
15th Week Term Project
Recommended or Required ReadingPaul D. Groves ?Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems?, 2nd Edition, Artech House 2013.
D.H. Titterton and J.L. Weston ?Strapdown Inertial Navigation Technology?, 2nd Edition, IET 2004.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Problem Solving
  • Questions/Answers
  • Project
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 10 30
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam
Preparation for Quiz
Individual or group work
Preparation for Final exam
Course hours
Preparation for Midterm exam
Laboratory (including preparation)
Final exam
Homework
Total Work Load0
Total Work Load / 30 (h)0
ECTS Credit of the Course5
Language of InstructionTurkish
Work Placement(s)No
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