DocumentCode :
1925914
Title :
Comparison of Estimation Techniques Using Kalman Filter and Grid-Based Filter for Linear and Non-linear System
Author :
Bhowmik, Subrata ; Roy, Chandrani
Author_Institution :
Nat. Inst. of Technol., Rourkela
fYear :
2007
fDate :
5-7 March 2007
Firstpage :
516
Lastpage :
520
Abstract :
The objective is to investigate the relative advantages and performance of grid based method. To achieve this, the grid-based method was compared with one of the known optimal filter i.e. Kalman filter. First two linear system models were tested by using these two methods. One was 1st order system and another was 2nd order system. The results obtained by these two methods were then compared. Again one nonlinear system model was tested by using these two methods. For non-linear system extended Kalman filter was used in which linearization takes place about a trajectory that was continually updated with the state estimates resulting from the measurement. For non-linear system grid-based approximation method was used. The results obtained by these two methods were then compared
Keywords :
Kalman filters; linear systems; nonlinear systems; state estimation; Kalman filter; estimation technique; grid-based filter; linear system; nonlinear system; optimal filter; Bayesian methods; Equations; Linear systems; Noise measurement; Nonlinear filters; Recursive estimation; State estimation; System testing; Time measurement; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing: Theory and Applications, 2007. ICCTA '07. International Conference on
Conference_Location :
Kolkata
Print_ISBN :
0-7695-2770-1
Type :
conf
DOI :
10.1109/ICCTA.2007.41
Filename :
4127423
Link To Document :
بازگشت