An adaptive information fusion method to vehicle integrated navigation

2003 ◽  
Author(s):  
Wu Qiuping ◽  
Gao Zhongyu ◽  
Wan Dejun
Keyword(s):  
Information Fusion ◽  
Fusion Method ◽  
Integrated Navigation

scholarly journals Research on the Relationship between Information Fusion Method and Information Failure Mode in Integrated Navigation System

2018 ◽  
Vol 2 (2) ◽  
pp. 53
Author(s):  
Binzi Han ◽  
Baiqing Hu
Keyword(s):  
Failure Mode ◽  
Information Fusion ◽  
Navigation Systems ◽  
Fusion Method ◽  
Integrated Navigation ◽  
Basic Principles ◽  
Weighted Fusion ◽  
Fusion Methods ◽  
Fault Mode ◽  
The Relationship

Abstract：On the basis of the basic principles of weighted fusion, Kalman filtering and BP neural networks, the basic principles of information fusion methods used in integrated navigation systems are expounded. Through the analysis of the basic principles, the association of information fusion methods commonly used in integrated navigation systems and information failure modes is obtained: the information fault mode of weighted fusion method The model is closely related to the specific weight allocation method, which depends on the fault mode of the sensor or sub-system in which the weight is dominant; the information fault mode of the Kalman filtering information fusion method is a continuous mutation fault corresponding to the nonlinear time interval of the system; the information fault mode of the BP neural network method is gradual with time. The information failure mode of the BP neural network method is a slowly varying fault that gradually accumulates over time. Starting from the complexity associated with the information fusion method and the information failure mode, it is pointed out that in order to systematically express the relationship between the information fusion method and the information failure mode, further research can be carried out.

scholarly journals Information Fusion Based on Complementary Filter for SINS/CNS/GPS Integrated Navigation System of Aerospace Plane

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7193
Author(s):  
Yanming Zhao ◽  
Gongmin Yan ◽  
Yongyuan Qin ◽  
Qiangwen Fu
Keyword(s):  
Real Time ◽  
Information Fusion ◽  
Navigation System ◽  
Physical Simulation ◽  
Fusion Method ◽  
Integrated Navigation ◽  
Real Time System ◽  
Integrated Navigation System ◽  
Complementary Filter ◽  
Aerospace Plane

In order to solve the problems of heavy computational load and poor real time of the information fusion method based on the federated Kalman filter (FKF), a novel information fusion method based on the complementary filter is proposed for strapdown inertial navigation (SINS)/celestial navigation system (CNS)/global positioning system (GPS) integrated navigation system of an aerospace plane. The complementary filters are designed to achieve the estimations of attitude, velocity, and position in the SINS/CNS/GPS integrated navigation system, respectively. The simulation results show that the proposed information fusion method can effectively realize SINS/CNS/GPS information fusion. Compared with FKF, the method based on complementary filter (CF) has the advantages of simplicity, small calculation, good real-time performance, good stability, no need for initial alignment, fast convergence, etc. Furthermore, the computational efficiency of CF is increased by 94.81%. Finally, the superiority of the proposed CF-based method is verified by both the semi-physical simulation and real-time system experiment.

Fault Classification of Hydroelectric Generating Unit Based on Improved Evidence Theory

2014 ◽  
Vol 7 (1) ◽  
pp. 78-83 ◽  
Author(s):  
Jiatang Cheng ◽  
Li Ai ◽  
Zhimei Duan ◽  
Yan Xiong
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Evidence Theory ◽  
Fault Classification ◽  
Fusion Method ◽  
Inconsistent Result ◽  
High Conflict

Aiming at the problem of the conventional vibration fault diagnosis technology with inconsistent result of a hydroelectric generating unit, an information fusion method was proposed based on the improved evidence theory. In this algorithm, the original evidence was amended by the credibility factor, and then the synthesis rule of standard evidence theory was utilized to carry out information fusion. The results show that the proposed method can obtain any definitive conclusion even if there is high conflict evidence in the synthesis evidence process, and may avoid the divergent phenomenon when the consistent evidence is fused, and is suitable for the fault classification of hydroelectric generating unit.

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