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
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
Journal title :
Chinese Journal of Aeronautics