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Abstract
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Article Information:
Covariance Intersection Kalman Fuser for Two-Sensor System with Time-Delayed Measurements
Peng Zhang and Zi-Li Deng
Corresponding Author: Peng Zhang
Submitted: December 31, 2012
Accepted: February 08, 2013
Published: October 20, 2013 |
Abstract:
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To handle the estimation fusion problem between local estimation errors for the system with unknown cross-covariances and to avoid a large computed burden and computational complexity of cross-covariances, for a two-sensor linear discrete time-invariant stochastic system with time-delayed measurements, by the measurement transformation method, an equivalent system without measurement delays is obtained and then using the Covariance Intersection (CI) fusion method, the covariance intersection steady-state Kalman fuser is presented. It is proved that its accuracy is higher than that of each local estimator and is lower than that of optimal Kalman fuser weighted by matrices with known cross-covariances. A Monte-Carlo simulation example shows the above accuracy relation and indicates that its actual accuracy is close to that of the Kalman fuser weighted by matrices, hence it has good performances.
Key words: Consistency, covariance intersection fusion, information fusion kalman fuser, time-delayed measurement, unknown cross-covariance, ,
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Cite this Reference:
Peng Zhang and Zi-Li Deng, . Covariance Intersection Kalman Fuser for Two-Sensor System with Time-Delayed Measurements. Research Journal of Applied Sciences, Engineering and Technology, (19): 3602-3609.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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