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Abstract:
A target can be positioned by wireless communication sensors. In practical system, the range based sensors may have biased measurements. The biases are mostly constant value, but they may jump abruptly in some special scenarios. An on-line bias change detection and estimation algorithm is presented in this paper. This algorithm can detect the jump bias based on Chi-Square Test, and then estimate the jump bias through Modified Augmented Extended Kalman filter. The feasibility and effectiveness of the proposed algorithms are illustrated in comparison with the Augmented Extended Kalman filter by simulations.
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Source :
2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION
ISSN: 9781467391047
Year: 2015
Page: 1658-1663
Language: English
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 4
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