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

Zhong Liang Deng; Ling Fang; Yu Jia Zhu; Wen Long Liu; Lian Ming Xu

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 204-210Anti-Perturbation Kalman Filter Based on...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 204-210)

Pages:

118-122

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.204-210.118

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Online since:

February 2011

Authors:

Zhong Liang Deng, Ling Fang, Yu Jia Zhu, Wen Long Liu, Lian Ming Xu

Keywords:

Anti-Perturbation Kalman Filter, Indoor Positioning, Multi-Variants Hypotheses Testing, Wireless Sensor Network (WSN)

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References

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