Hybrid Kalman filter-fuzzy logic adaptive multisensor data fusion architectures

2004 ◽  
Author(s):  
P.J. Escamilla-Ambrosio ◽  
N. Mort
Keyword(s):  
Fuzzy Logic ◽  
Kalman Filter ◽  
Data Fusion ◽  
Multisensor Data Fusion ◽  
Multisensor Data

scholarly journals Adaptive Fusion Design Using Multiscale Unscented Kalman Filter Approach for Multisensor Data Fusion

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Huadong Wang ◽  
Shi Dong
Keyword(s):  
Kalman Filter ◽  
Data Fusion ◽  
Observational Data ◽  
Measurement System ◽  
Unscented Kalman Filter ◽  
Measurement Data ◽  
Fusion Algorithm ◽  
Multisensor Data Fusion ◽  
Multiple Sensors ◽  
Multisensor Data

In order to improve the reliability of measurement data, the multisensor data fusion technology has progressed greatly in improving the accuracy of measurement data. This paper utilizes the real-time, recursive, and optimal estimation characteristics of unscented Kalman filter (UKF), as well as the unique advantages of multiscale wavelet transform decomposition in data analysis to effectively integrate observational data from multiple sensors. A new multiscale UKF-based multisensor data fusion algorithm is proposed by combining the UKF with multiscale signal analysis. Firstly, model-based UKF is introduced into the multiple sensors, and then the model is decomposed at multiple scales onto the coarse scale with wavelets. Next, signals decomposed from fine to coarse scales are adjusted using the denoised observational data from corresponding sensors and reconstructed with wavelets to obtain the fused signals. Finally, the processed data are fused using adaptive weighted fusion algorithm. Comparison of simulation and experimental results shows that the proposed method can effectively improve the antijamming capability of the measurement system and ensure the reliability and accuracy of sensor measurement system compared to the use of data fusion algorithm alone.

Comparison of Three Fuzzy Logic-Based Adaptive Multisensor Data Fusion Architectures

2004 ◽  
Vol 37 (14) ◽  
pp. 103-108
Author(s):  
P.J. Escamilla-Ambrosio ◽  
N. Mort
Keyword(s):  
Fuzzy Logic ◽  
Data Fusion ◽  
Multisensor Data Fusion ◽  
Multisensor Data

A fuzzy-logic architecture for autonomous multisensor data fusion

1996 ◽  
Vol 43 (3) ◽  
pp. 403-410 ◽  
Author(s):  
J.A. Stover ◽  
D.L. Hall ◽  
R.E. Gibson
Keyword(s):  
Fuzzy Logic ◽  
Data Fusion ◽  
Multisensor Data Fusion ◽  
Multisensor Data

Research on Kalman-filter based multisensor data fusion

2007 ◽  
Vol 18 (3) ◽  
pp. 497-502 ◽  
Author(s):  
Chen Yukun ◽  
Si Xicai ◽  
Li Zhigang
Keyword(s):  
Kalman Filter ◽  
Data Fusion ◽  
Multisensor Data Fusion ◽  
Multisensor Data
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