Drift Improvement with Reinforcement Training of Inertial Sensors

The main objective of the Drift Improvement through Reinforcement Training – Inertial sensors (DIRT-I) project is to extend the holdover time of inertial sensors in the absence of a Global Navigation Satellite System (GNSS), through the use of Reinforcement Learning (RL) or training. For the purposes of this document, the acronyms GNSS and GPS (Global Positioning System) are used interchangeably. This report is a continuation of the year one effort that was reported on previously. The year two effort (and this report) focus on the use of different inertial sensors with a wide range of performance specifications.