Loosely coupled GNSS/INS integration based on an auto regressive model in a data gap environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geology,Geophysics,Building and Construction
Link
http://link.springer.com/article/10.1007/s40328-018-0238-8/fulltext.html
Reference30 articles.
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1. A Robust Adaptive Extended Kalman Filter Based on an Improved Measurement Noise Covariance Matrix for the Monitoring and Isolation of Abnormal Disturbances in GNSS/INS Vehicle Navigation;Remote Sensing;2023-08-22
2. A novel method of ambiguity resolution and cycle slip processing for single-frequency GNSS/INS tightly coupled integration system;Advances in Space Research;2022-01
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