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Mathematical Problems in Engineering
Volume 2015, Article ID 404986, 8 pages
Research Article

The Robust Passive Location Algorithm for Maneuvering Target Tracking

Xi’an Research Institute of High Technology, Xi’an, Shaanxi 710025, China

Received 23 July 2014; Revised 14 September 2014; Accepted 12 October 2014

Academic Editor: Xiao-Sheng Si

Copyright © 2015 Xiaojun Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.