4.6 Article

A Novel Method of Fault Detection and Identification in a Tightly Coupled, INS/GNSS-Integrated System

Related references

Note: Only part of the references are listed.
Article Environmental Sciences

GNSS/INS Integration with Integrity Monitoring for UAV No-fly Zone Management

Rui Sun et al.

REMOTE SENSING (2020)

Article Statistics & Probability

Use of likelihood ratio tests to detect outliers under the variance shift outlier model

Freedom N. Gumedze

JOURNAL OF APPLIED STATISTICS (2019)

Proceedings Paper Automation & Control Systems

Robust GPS-INS Outlier Accommodation: A Soft-thresholded Optimal Estimator

Paul F. Roysdon et al.

IFAC PAPERSONLINE (2017)

Article Engineering, Electrical & Electronic

Performance evaluation of Cubature Kalman filter in a GPS/IMU tightly-coupled navigation system

Yingwei Zhao

SIGNAL PROCESSING (2016)

Article Automation & Control Systems

A derivative UKF for tightly coupled INS/GPS integrated navigation

Gaoge Hu et al.

ISA TRANSACTIONS (2015)

Article Computer Science, Interdisciplinary Applications

A variance shift model for detection of outliers in the linear mixed model

Freedom N. Gumedze et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2010)

Article Engineering, Electrical & Electronic

Robust Kalman Filter Based on a Generalized Maximum-Likelihood-Type Estimator

Mital A. Gandhi et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2010)

Article Engineering, Civil

Extended Receiver Autonomous Integrity Monitoring (eRAIM) for GNSS/INS Integration

Steve Hewitson et al.

JOURNAL OF SURVEYING ENGINEERING (2010)

Article Remote Sensing

Carrier phase-based integrity monitoring for high-accuracy positioning

Shaojun Feng et al.

GPS SOLUTIONS (2009)