Multi-Sensor Data Fusion For Civil Aircraft IRS/GPS/ILS Integrated Navigation System

Author(s):  
Sara Ifqir ◽  
Christophe Combastel ◽  
Ali Zolghadri ◽  
Guillaume Alcalay ◽  
Philippe Goupil ◽  
...  
2015 ◽  
Vol 8 (1) ◽  
pp. 93-102 ◽  
Author(s):  
Jie Shen ◽  
Zhen Zhang ◽  
Hongyang Bai ◽  
Shengchun Liu ◽  
Hui Gu ◽  
...  

2013 ◽  
Vol 739 ◽  
pp. 580-585
Author(s):  
He Nian Wang ◽  
Guo Xing Yi ◽  
Chang Hong Wang ◽  
Yang Guang Xie

In research of SINS/GPS/SS integrated navigation system and multi sensor data fusion method, we proposed an adaptive federated Kalman filtering method based on convex optimization. The method uses real-time OLS-SVM obtained information distribution factor, so that the information distribution factor can change with the local filter performance. So that can make timely response to the performance and failure of local sensors and filter, which affects the whole system accuracy. The simulation results show that, the method has stronger adaptability of model and noise interference, can effectively restrain the divergence and improves the system precision and real time.


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