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Modified Extended Kalman Filtering for Tracking with Insufficient and Intermittent Observations
Joint Authors
Ma, Honglu
Huang, Yan
Gao, Shouwan
Chen, Pengpeng
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-29
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper is concerned with the Kalman filtering problem for tracking a single target on the fixed-topology wireless sensor networks (WSNs).
Both the insufficient anchor coverage and the packet dropouts have been taken into consideration in the filter design.
The resulting tracking system is modeled as a multichannel nonlinear system with multiplicative noise.
Noting that the channels may be correlated with each other, we use a general matrix to express the multiplicative noise.
Then, a modified extended Kalman filtering algorithm is presented based on the obtained model to achieve high tracking accuracy.
In particular, we evaluate the effect of various parameters on the tracking performance through simulation studies.
American Psychological Association (APA)
Chen, Pengpeng& Ma, Honglu& Gao, Shouwan& Huang, Yan. 2015. Modified Extended Kalman Filtering for Tracking with Insufficient and Intermittent Observations. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1075247
Modern Language Association (MLA)
Chen, Pengpeng…[et al.]. Modified Extended Kalman Filtering for Tracking with Insufficient and Intermittent Observations. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1075247
American Medical Association (AMA)
Chen, Pengpeng& Ma, Honglu& Gao, Shouwan& Huang, Yan. Modified Extended Kalman Filtering for Tracking with Insufficient and Intermittent Observations. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1075247
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075247