The Robust Passive Location Algorithm for Maneuvering Target Tracking
Joint Authors
Yang, Xiaojun
Liu, Gang
Guo, Jinku
Wang, Hongqiao
He, Bing
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-08
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
With the advantages such as high security and far responding distance, the passive location has a broad application in military and civil domains such as radar and aerospace.
However, most of the current passive location methods are based on the framework of the probability theory and cannot be used to deal with fuzzy uncertainty in the passive location systems.
Though the fuzzy Kalman filter can be used in the uncertainty systems, it could not deal with the abrupt change of state like the maneuvering target which will lead to the filter divergence.
Therefore, in order to track the maneuvering target in the fuzzy passive system, we proposed a robust fuzzy extended Kalman filter based on the orthogonality principle and the fuzzy filter in the paper.
Conclusion can be made based on the simulation result that this new approach is more precise and more robust than the fuzzy filter.
American Psychological Association (APA)
Yang, Xiaojun& Liu, Gang& Guo, Jinku& Wang, Hongqiao& He, Bing. 2015. The Robust Passive Location Algorithm for Maneuvering Target Tracking. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073751
Modern Language Association (MLA)
Yang, Xiaojun…[et al.]. The Robust Passive Location Algorithm for Maneuvering Target Tracking. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1073751
American Medical Association (AMA)
Yang, Xiaojun& Liu, Gang& Guo, Jinku& Wang, Hongqiao& He, Bing. The Robust Passive Location Algorithm for Maneuvering Target Tracking. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073751
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073751