C1921: Integrated Navigation for Versatility and Robustness: Addressing our Navigation and Tracking Challenges

Abstract

Content: The course material covered, begins with fundamentals of navigation for versatility and robustness, showing intuitive connections of mathematics to physical examples, followed by a natural transition to advanced topics. Addressing navigation and tracking challenges, practical realities are given top priority, by delivering maximum effectiveness from simplest permissible representations. This course will enable designers to extract maximum benefit from available sensors, however extravagant or austere they may be, at every instant of time throughout a mission. Administrators will be empowered to recognize what is achievable from any given array of equipment — without the common excessive dependence on GPS. The course will show methods capable of producing dramatic performance improvements, without which the challenges facing the industry today won’t be met.

Learning Objectives

Content

By attending this course, you will be able to identify and explain:

Widely accepted expressions for all pertinent translational and rotational motions clearly exhibited without distraction from nonessential complexity
Inertial navigation
Kalman filtering
GPS
How the real world doesn't quite follow theory and how to compensate for it
How to prepare and integrate raw GPS pseudorange measurements with raw data from gyros, accelerometers, and magnetometers (or other azimuth indicators) adhering to a separate independent time base; extension to GNSS
Dramatically simplified yet effective, flight-data validated, Kalman filter model with inertial error propagation counteracted by GPS/GNSS updating
How to achieve performance commensurate with GPS/GNSS measurement accuracy from low-cost IMU in presence of large long-term drifts
How to follow direct step-by-step procedures, giving you an entirely new depth of understanding
Closed form solution for inertial error propagation, tilt and velocity errors; intuitive quantitative results
Adaptation of navigation development for application to tracking; exploiting that commonality to characterize INS error propagation between updates
Receiver Autonomous Integrity Monitoring (RAIM) with advancements addressing independent usage for each separate measurement, to protect against erratic data points
Adaptation of all methods to a variety of PNT data sources other than GNSS

Who Should Attend

Content: This course will be of interest primarily to engineers and/or managers responsible for recommending, designing, or validating (by simulation, bench test, field test, or system test) sensors or software using the chosen array of sensors for navigation or tracking.

Prerequisites

Content: Bachelor’s Degree in engineering, physics or mathematics. Familiarity with matrix math is helpful, but not necessary.

Meta Tags

Topics: Global positioning systems (GPS)
Navigation and guidance systems
Sensors and actuators
Tools and equipment

Details

Additional Details