DocumentCode
1946150
Title
Target passive tracking based on Strong Tracking Filter
Author
Hua, Yu
Author_Institution
Dept. of Command Autom., Naval Univ. of Eng., Wuhan, China
Volume
9
fYear
2010
fDate
9-11 July 2010
Firstpage
273
Lastpage
275
Abstract
We put forward Adaptive PLE (APLE) based on Strong Tracking Filter (STF) for bearing and frequency measure in order to rectify the bias of PLE. Furthermore, the APLE avoids filter divergence in that it is not necessary to linearize non-linear measure equation. Simulation demonstrate that the APLE has the ability to reduce estimate bias adaptively and estimate accuracy can be greatly improved.
Keywords
adaptive Kalman filters; machine bearings; motion estimation; passive filters; target tracking; tracking filters; APLE; adaptive PLE; bearing; frequency measurement; strong tracking filter; target motion analysis; target passive tracking; Area measurement; Maximum likelihood estimation; Sonar measurements; adaptive filtering; passive tracking; strong tracking filter; target motion analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564432
Filename
5564432
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