Investigation of the different weight models in Kalman filter: A case study of GNSS monitoring results
During geodetic monitoring with GNSS technology one of important steps is the correct processing and analysis of the measured displacements. We used the processing method of Kalman filter smoothing algorithm, which allows to evaluate not only displacements, but also the speed, acceleration, and othe...
Main Authors: | Roman Shults, Andriy Annenkov |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2018-05-01
|
Series: | Geodesy and Geodynamics |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1674984717301611 |
Similar Items
-
Differential Kalman Filter Design for GNSS Open Loop Tracking
by: Tian Jin, et al.
Published: (2020-03-01) -
Limited constraint, robust Kalman filtering for GNSS troposphere tomography
by: W. Rohm, et al.
Published: (2014-05-01) -
GNSS DOPPLER VELOCITY BASED ON ADAPTIVE ROBUST KALMAN FILTERING
by: H. Liu, et al.
Published: (2020-02-01) -
Effective Efficiency Advantage Assessment of Information Filter for Conventional Kalman Filter in GNSS Scenarios
by: Yanning Zheng, et al.
Published: (2019-09-01) -
Deep Kalman Filter: Simultaneous Multi-Sensor Integration and Modelling; A GNSS/IMU Case Study
by: Siavash Hosseinyalamdary
Published: (2018-04-01)