Paper Title:
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.

  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, L. Fang, Y. J. Zhu, W. L. Liu, L. M. Xu, "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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