DocumentCode
2394880
Title
A New Suboptimal Filter and Numerical Solutions for the Cubic Sensor Problem
Author
Yan, Changlin ; Yau, Stephen S.-T
Author_Institution
Dept. of Math., Stat. & Comput. Sci., Illinois Univ., Chicago, IL
fYear
0
fDate
0-0 0
Firstpage
351
Lastpage
356
Abstract
In this paper, we present a new suboptimal filter for the cubic sensor problem. Then we use this new suboptimal filter and Yau´s method as well as the extended Kalman filter to obtain numerical solutions for the cubic sensor problem. Results show that both our new suboptimal filter and Yau´s method work very well, but the extended Kalman filter fails to give an accurate estimation for the cubic sensor problem
Keywords
Kalman filters; filtering theory; Yau method; accurate estimation; extended Kalman filter; numerical cubic sensor problem solutions; suboptimal filter; Approximation methods; Computer science; Equations; Filtering; Mathematics; Nonlinear filters; Nonlinear systems; Numerical simulation; Polynomials; Statistics; Cubic Sensor problem; Extended Kalman Filter; Numerical Simulation; Yau´s method;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on
Conference_Location
Ft. Lauderdale, FL
Print_ISBN
1-4244-0065-1
Type
conf
DOI
10.1109/ICNSC.2006.1673171
Filename
1673171
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