Course 537: Advanced Integration of GPS and inertial Navigation Systems (1.8 CEUs) (Public or On-Site)
Instructors: Dr. Alan Pue, Johns Hopkins University, Applied Physics Lab
This 3-day course concentrates on the software algorithms and practical implementations for aiding an inertial navigation system with a GPS receiver. You will learn the essential basics of Kalman filter theory and inertial navigation. A central topic is how the understanding and modeling of inertial navigation errors are used to develop the navigation Kalman filter for loosely, tightly and deeply coupled integration architectures. This course will focus on critical details such as timing synchronization, accounting for data latency, computation of measurement residuals, and adjustment of filter parameters to optimize navigation performance. The available inertial instrument technologies and operating principles for accelerometers, ring laser gyros, fiber optic gyros, and MEMS devices will be described. This course will highlight the nature of the inertial instrument error sources, strapdown computations, the meaning of manufacturer specifications, and show how they are applied to the filter design. Case studies are used to illustrate various implementation techniques such as inertial aiding of the GPS receiver to mitigate the effects of signal interference, integration with other aiding sources, carrier phase differential integration, and INS/GPS interferometer integration. The course includes with a discussion of trends in IMU and receiver technologies.
Who Should Attend?
Engineers, scientists, system analysts, program specialists and other concerned with the integration of inertial sensors and systems.