Anti-Perturbation Kalman Filter Based on Perturbation Theorem and Multiple Hypothesis Testing Theory

Abstract:

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In this paper, an improved Kalman filter algorithm was proposed by two kinds of anti-perturbation method which were derived according to the perturbation theorem of inverse matrix. Furthermore, direction-correcting has been merged into this algorithm by using multiple hypothesis testing theory which can detect the current direction of a target. Experiments which were based on indoor positioning have shown that the improved algorithm(named IKF) has great performance.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

118-122

DOI:

10.4028/www.scientific.net/AMR.204-210.118

Citation:

Z. L. Deng et al., "Anti-Perturbation Kalman Filter Based on Perturbation Theorem and Multiple Hypothesis Testing Theory", Advanced Materials Research, Vols. 204-210, pp. 118-122, 2011

Online since:

February 2011

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Price:

$35.00

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