Title of article
Improved Particle Filter for Target Tracking
Author/Authors
DENG، نويسنده , , Xiaolong and Xie، نويسنده , , Jian-ying and NI، نويسنده , , Hong-wei، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2005
Pages
5
From page
166
To page
170
Abstract
A new improved particle filter algorithm with the simplified UT (unscented transformation) and the modified unscented Kalman filter (UKF) proposal distribution is presented. The scaling factor is added to adaptively estimate on line and to improve the filtering performance. An adaptive algorithm is developed. In the bearings-only tracking experiments, the results confirm the improved particle filter algorithm outperforms others.
Keywords
particle filter , Bearings-only tracking , proposal distribution , UKF
Journal title
Chinese Journal of Aeronautics
Serial Year
2005
Journal title
Chinese Journal of Aeronautics
Record number
2264524
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