Date of Award
3-2022
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Electrical and Computer Engineering
First Advisor
Robert C. Leishman, PhD
Abstract
When navigating using Global Navigation Satellite Systems (GNSS), multiple/redundant, synchronous pseudorange measurements are readily available. However, when navigating in a GNSS degraded and/or denied region, this is not guaranteed. In response to this challenge, the ANT Center developed a framework known as Autonomous and Resilient Management of All-source Sensors (ARMAS). The ARMAS framework is designed to be resilient towards data corruption caused from mismodeled, uncalibrated, and faulty sensors. This thesis further expands on this work by performing a comparison against a Residual-Based Receiver Autonomous Integrity Monitoring (RBRAIM) scheme using simulated and real flight data to evaluate each systems performance.
AFIT Designator
AFIT-ENG-MS-22-M-065
DTIC Accession Number
AD1166938
Recommended Citation
Tate, Niles A., "Autonomous and Resilient Management of All-Source Sensors for Navigation Integrity: A Comparison and Analysis" (2022). Theses and Dissertations. 5360.
https://scholar.afit.edu/etd/5360