An On-line Calibration Method of SINS/Odometer Integrated Navigation System

2017 ◽  
Author(s):  
Yiding Sun ◽  
Gongliu Yang ◽  
Qingzhong Cai ◽  
Suier Wang
Keyword(s):  
Navigation System ◽  
Calibration Method ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
On Line

scholarly journals Estimation of UAV Position with Use of Smoothing Algorithms

2017 ◽  
Vol 24 (1) ◽  
pp. 127-142 ◽  
Author(s):  
Piotr Kaniewski ◽  
Rafał Gil ◽  
Stanisław Konatowski
Keyword(s):  
Kalman Filter ◽  
Navigation System ◽  
Position Estimation ◽  
Fixed Interval ◽  
Smoothing Algorithm ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
Gnss Receiver ◽  
On Line

Abstract The paper presents methods of on-line and off-line estimation of UAV position on the basis of measurements from its integrated navigation system. The navigation system installed on board UAV contains an INS and a GNSS receiver. The UAV position, as well as its velocity and orientation are estimated with the use of smoothing algorithms. For off-line estimation, a fixed-interval smoothing algorithm has been applied. On-line estimation has been accomplished with the use of a fixed-lag smoothing algorithm. The paper includes chosen results of simulations demonstrating improvements of accuracy of UAV position estimation with the use of smoothing algorithms in comparison with the use of a Kalman filter.

A Position Observation-Based Calibration Method for LDV/SINS Integrated Navigation System

2021 ◽  
Author(s):  
Zhiyi Xiang ◽  
Qi Wang ◽  
Rong Huang ◽  
Chongbin Xi ◽  
Xiaoming Nie ◽  
...  
Keyword(s):  
Navigation System ◽  
Calibration Method ◽  
Integrated Navigation ◽  
Integrated Navigation System

scholarly journals Data Fusion Based on Adaptive Interacting Multiple Model for GPS/INS Integrated Navigation System

2018 ◽  
Vol 8 (9) ◽  
pp. 1682 ◽  
Author(s):  
Chuang Zhang ◽  
Chen Guo ◽  
Daheng Zhang
Keyword(s):  
Navigation System ◽  
Integrated System ◽  
Filter Method ◽  
Integration Scheme ◽  
Interacting Multiple Model ◽  
Integrated Navigation ◽  
Multiple Model ◽  
Integrated Navigation System ◽  
Comparison Results ◽  
On Line

The extended Kalman filter (EKF) as a primary integration scheme has been applied in the Global Positioning System (GPS) and inertial navigation system (INS) integrated system. Nevertheless, the inherent drawbacks of EKF contain not only instability caused by linearization, but also massive calculation of Jacobian matrix. To cope with this problem, the adaptive interacting multiple model (AIMM) filter method is proposed to enhance navigation performance. The soft-switching characteristic, which is provided by interacting multiple model algorithm, permits process noise to be converted between upper and lower limits, and the measurement covariance is regulated by Sage adaptive filtering on-line Moreover, since the pseudo-range and Doppler observations need to be updated, an updating policy for classified measurement is considered. Finally, the performance of the GPS/INS integration method on the basis of AIMM is evaluated by a real ship, and comparison results demonstrate that AIMM could achieve a more position accuracy.

scholarly journals On-Line Smoothing for an Integrated Navigation System with Low-Cost MEMS Inertial Sensors

Sensors ◽  
2012 ◽  
Vol 12 (12) ◽  
pp. 17372-17389 ◽  
Author(s):  
Kai-Wei Chiang ◽  
Thanh Duong ◽  
Jhen-Kai Liao ◽  
Ying-Chih Lai ◽  
Chin-Chia Chang ◽  
...  
Keyword(s):  
Navigation System ◽  
Inertial Sensors ◽  
Low Cost ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
On Line

Calibration Method of Two-Dimensional Laser Doppler Velocimeter in Land Integrated Navigation System

2018 ◽  
Vol 45 (8) ◽  
pp. 0804004
Author(s):  
王琦 Wang Qi ◽  
高春峰 Gao Chunfeng ◽  
聂晓明 Nie Xiaoming ◽  
周健 Zhou Jian ◽  
魏国 Wei Guo ◽  
...  
Keyword(s):  
Navigation System ◽  
Calibration Method ◽  
Laser Doppler ◽  
Laser Doppler Velocimeter ◽  
Two Dimensional ◽  
Integrated Navigation ◽  
Integrated Navigation System
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