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Feb 10, 2025
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EE 6063 - Integrated Navigation Systems
Theoretical development of positioning and navigation with multiple sensors; basics of estimation theory; complementary filters, least squares estimators, Kalman filters used for navigation purposes; GPS/INS integration.
Requisites: EE 6033 and 6053
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Students will be able to explain the fundamental concepts of estimation theory.
- Students will be able to explain the differences between least-squares and Kalman estimators.
- Students will be able to simulate univariate and multivariate Kalman filters.
- Students will be able to explain the concept of the complementary filter.
- Students will be able to simulate GPS-only Kalman filters.
- Students will be able to simulate GPS/INS integrations.
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