Multipath Mitigation of GPS Carrier Phase Measurement Using Unscented Kalman Filter
0
Citation
0
Reference
20
Related Paper
Cite
Orbit Determination
Orbit (dynamics)
Cite
Citations (2)
The global positioning system (GPS) with accurate positioning and timing properties has become integral part of all applications around the world.Radio frequency interference can significantly decrease the performance of GPS receivers or even completely prohibit the acquisition or tracking of satellites.The approaches of system performances that can be further enhanced by preprocessing to reject the jamming signal will be investigated.A recurrent neural network (RNN) predictor for the GPS anti-jamming applications will be proposed.The adaptive RNN predictor is utilized to accurately predict the narrowband waveform based on an unscented Kalman filter (UKF)-based algorithm.The UKF algorithm as a derivative-free alternative to the extended Kalman filter (EKF) in the framework of state-estimation is adopted to achieve better performance in terms of convergence rate and quality of solution.The adaptive UKF-RNN filter can be successfully applied for the suppression of interference with a number of different narrowband formats, i.e. continuous wave interference (CWI), multi-tone CWI, swept CWI and pulsed CWI, to emulate realistic circumstances.Simulation results show that the proposed UKF-based scheme can offer the superior performances to suppress the interference over the conventional methods by computing mean squared prediction error (MSPE) and signal-to-noise ratio (SNR) improvements.
Cite
Citations (8)
Abstract. In order to realize fast and accurate BDS/GPS integrated positioning, it is necessary to overcome the adverse effects of signal attenuation, multipath effect and echo interference to ensure the result of continuous and accurate navigation and positioning. In this paper, pseudo-range positioning is used as the mathematical model. In the stage of data preprocessing, using precise and smooth carrier phase measurement value to promote the rough pseudo-range measurement value without ambiguity. At last, the Extended Kalman Filter(EKF), the Unscented Kalman Filter(UKF) and the Particle Filter(PF) algorithm are applied in the integrated positioning method for higher positioning accuracy. The experimental results show that the positioning accuracy of PF is the highest, and UKF is better than EKF.
Precise Point Positioning
Cite
Citations (1)
Cite
Citations (3)
In this paper, a new particle filter algorithm - unscented particle filter (UPF) is given based on the analysis of extended Kalman filter (EKF), general particle filter (PF) and unscented Kalman filter (UKF), and then it is applied to GPS/DR integrated navigation system. Finally, the feasibility and accuracy of UPF algorithm are proved, with a simulation and compare of UPF and PF in GPS/DR integrated navigation system
Unscented transform
GPS/INS
Auxiliary particle filter
Cite
Citations (3)
The unscented Kalman filter (UKF) became very attractive for the navigation sensors data fusion, because of algorithm significant accuracy and implementation advantages. The unscented Kalman filter is based on the unscented transform (UT) to perform the estimation of the system states. The main idea of the unscented transformation is following. It’s more effective to approximate probability distribution function than arbitrary transformation or nonlinear function.The developed sensors data fusion algorithm using the UKF is considered in this work. This algorithm was applied for the state estimation of the loosely coupled GPS/INS integrated navigation system. GPS/INS integrated navigation system contains low cost inertial sensors and low cost GPS receiver. To demonstrate the estimation performance, the processing of sensors data was done using linear Kalman filter (KF), extended Kalman filter (EKF) and UKF. As a result, UKF has lower velocity estimation error than EKF during simulated GPS signal outage.DOI: http://dx.doi.org/10.5755/j01.eee.19.10.5886
GPS/INS
Unscented transform
Sensor Fusion
Navigation System
Cite
Citations (7)
Performance comparison of extended and unscented kalman filter implementation in INS-GPS integration
The objective of this thesis is to implement an unscented kalman filter for integrating INS with GPS and to analyze and compare the results with the extended kalman filter approach. In a loosely c ...
GPS/INS
Unscented transform
Alpha beta filter
Cite
Citations (6)
Dynamic positioning
Cite
Citations (0)
Phase compensation
Cite
Citations (0)
Unavailability
SIGNAL (programming language)
Cite
Citations (1)