Journal ArticleDOI
Dual-optimization for a MEMS-INS/GPS system during GPS outages based on the cubature Kalman filter and neural networks
TLDR
The dual optimization process using different estimators provides better error compensation results than a single optimization method, which demonstrates that the proposed solution leads to the better performance of a MEMS-based INS/GPS navigation system.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 2019-11-01. It has received 119 citations till now. The article focuses on the topics: Extended Kalman filter & Assisted GPS.read more
Citations
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Journal ArticleDOI
Seamless GPS/Inertial Navigation System Based on Self-Learning Square-Root Cubature Kalman Filter
TL;DR: The proposed SL-SRCKF strategy is a hybrid navigation strategy called the self-learning square-root- cubature Kalman filter that comprises two cycle filtering systems that work in a tightly coupled mode and allows more accurate error correction results to be obtained during GPS outages.
Journal ArticleDOI
Vehicle Localization During GPS Outages With Extended Kalman Filter and Deep Learning
Jiageng Liu,Ge Guo +1 more
TL;DR: In this paper, an improved extended Kalman filter (IEKF) was used to eliminate the influence of noises in MEMS-INS and mitigate dependence on the process model, and a deep learning framework with multiple long short-term memory (LSTM) modules was proposed to predict the increment of the vehicle position based on Gaussian mixture model (GMM) and Kullback-Leibler (KL) distance.
Journal ArticleDOI
An approach towards missing data management using improved GRNN-SGTM ensemble method
TL;DR: A prediction method for probable recovery of partially missing or completely lost data based on the improvement of an ensemble of two GRNNs by the additional use of extended-input SGTM neural-like structure is proposed, which has been tested for the task of completing the gaps in the real dataset reflecting air condition monitoring.
Journal ArticleDOI
A Fast Robust In-Motion Alignment Method for SINS With DVL Aided
TL;DR: Simulation and field tests showed that the proposed fast robust in-motion alignment method can obtain a high-accuracy initial alignment results and suppress the interference of the outliers of the DVL outputs.
Journal ArticleDOI
Multi-rate strong tracking square-root cubature Kalman filter for MEMS-INS/GPS/polarization compass integrated navigation system
Chong Shen,Yufeng Xiong,Donghua Zhao,Chenguang Wang,Huiliang Cao,Xiang Song,Jun Tang,Jun Liu +7 more
TL;DR: An improved multi-rate strong tracking square-root cubature Kalman filter (MR-STSCKF) for a MEMS-INS/GPS/polarization compass integrated navigation system is proposed and can overcome the problem of the inconsistency between the sampling frequencies of different sensors while maintaining the high precision of the integrated navigation results.
References
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Journal ArticleDOI
Applying the unscented Kalman filter for nonlinear state estimation
TL;DR: In this article, a simple procedure to include state constraints in the UKF is proposed and tested and the overall impression is that the performance of UKF was better than the EKF in terms of robustness and speed of convergence.
Journal ArticleDOI
An innovative information fusion method with adaptive Kalman filter for integrated INS/GPS navigation of autonomous vehicles
TL;DR: In this article, a navigation technology based on Adaptive Kalman Filter with attenuation factor is proposed to restrain noise in order to improve the precision of navigation information, and the accuracy of the integrated navigation can be improved due to the reduction of the influence of environment noise.
Journal ArticleDOI
Constrained nonlinear state estimation based on the UKF approach
TL;DR: The conclusion is that with an algebraic reformulation of the correction part, the reformulated UKF shows strong performance on the selection of nonlinear constrained process systems.
Journal ArticleDOI
Temperature drift modeling of MEMS gyroscope based on genetic-Elman neural network
Shen Chong,Shen Chong,Song Rui,Li Jie,Li Jie,Zhang Xiaoming,Zhang Xiaoming,Tang Jun,Tang Jun,Shi Yun-bo,Shi Yun-bo,Liu Jun,Liu Jun,Cao Huiliang,Cao Huiliang +14 more
TL;DR: The Allan analysis results validate that, compared to traditional single input/single output model, the novel multiple inputs/ single output model can guarantee high accurate fitting ability because the proposed model can provide more plentiful controllable information.
Journal ArticleDOI
Novel hybrid of strong tracking Kalman filter and wavelet neural network for GPS/INS during GPS outages
TL;DR: Comparison results indicate that the proposed model combined with STKF/WNN algorithms can effectively provide high accurate corrections to the standalone INS during GPS outages.