AOA - redundant INS integrated navigation algorithm based on federated Kalman filter
Author:
Affiliation:
1. Xi’an University of Posts & Telecommunications,School of Communication and Information Engineering,Xi’an,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10280770/10280781/10280840.pdf?arnumber=10280840
Reference17 articles.
1. A comparative study and review of different Kalman filters by applying an enhanced validation method
2. Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources
3. Optimal Configuration of Redundant Inertial Sensors for Navigation and FDI Performance
4. Fault detection, isolation and quantification from Gaussian residuals with application to structural damage diagnosis
5. An Autonomous Initial Alignment and Observability Analysis for SINS With Bio-Inspired Polarized Skylight Sensors
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