scholarly journals Discrete LPV Based Parameter Estimation For TIDM Patients By Using Dual Extended Kalman Filtering Method*

2019 ◽  
Author(s):  
Levente Kovacs ◽  
Mate Siket ◽  
Imre Rudas ◽  
Aniko Szakal ◽  
Gyorgy Eigner
Keyword(s):  
Parameter Estimation ◽  
Kalman Filtering ◽  
Extended Kalman Filtering ◽  
Filtering Method

Evaluation of spectral modulated interferograms by the extended Kalman filtering method

2005 ◽  
Author(s):  
Igor Gurov ◽  
Petr Hlubina ◽  
Mikhail Taratin ◽  
Alexey Zakharov
Keyword(s):  
Kalman Filtering ◽  
Extended Kalman Filtering ◽  
Filtering Method

An Improved of Extended Kalman Filtering Method on Tracking Accuracy of Bistatic Sonar System

2014 ◽  
Vol 596 ◽  
pp. 494-497
Author(s):  
Yong Sun ◽  
Jun Wei Zhao
Keyword(s):  
Kalman Filtering ◽  
Tracking Accuracy ◽  
Extended Kalman Filtering ◽  
Filtering Method ◽  
Filter Methods ◽  
Sonar System ◽  
Tracking Process ◽  
Measured Information ◽  
Tracing Algorithm ◽  
Simulation Results

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

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