Evaluation of multilayer tissues in optical coherence tomography by the extended Kalman filtering method

Author(s):  
Igor Gurov ◽  
Maxim Volynsky ◽  
Alexey Zakharov
2005 ◽  
Author(s):  
Igor Gurov ◽  
Petr Hlubina ◽  
Mikhail Taratin ◽  
Alexey Zakharov

2014 ◽  
Vol 596 ◽  
pp. 494-497
Author(s):  
Yong Sun ◽  
Jun Wei Zhao

The Extended Kalman Filter methods were widely used in the estimation of tracing situation in military fields. In this paper, we proposed a method of using multiple iteration of the observation and covariance matrix in the measuring equations during the tracking process in bistatic sonar system. Therefore the iterating extended kalman filtering (IEKF) algorithm was emerged at this situation. The simulation results show that the proposed tracing algorithm exhibits higher accuracy compared with the EKF algorithm. This new method can take full application of the measured information to improved the tracing accuracy in the whole controlled area. Keywords: bistatic sonar; tracing accuracy; IEKF algorithm; target moving analysis


Measurement ◽  
2020 ◽  
pp. 108657
Author(s):  
Xiao Yin ◽  
Hongzhou Chai ◽  
Minzhi Xiang ◽  
Zhenqiang Du ◽  
Xiangyu Tian

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