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High maneuvering target-tracking based on strong tracking
modified input estimation
Jin-Long Yang* and Hong-Bing Ji
School of Electronic Engineering, Xidian University, Xian
710071, P. R. China.
*Corresponding author. E-mail:
yjlgedeng@163.com.
Accepted 11 June, 2010 |
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When tracking a high maneuvering target, the sudden changes
of target states may cause a serious decline or even
divergence in the performance of the conventional modified
input estimation (MIE) technique. Taking this into account,
in this paper, strong tracking filter multiple fading
factors are introduced in order to enhance the tracking
performance of MIE for high maneuvering targets. As the
prediction covariance can be adjusted in real time by the
multiple time-varying fading factors and the different data
channels are faded at different rates, this algorithm keeps
a good tracking performance in low, medium and high
maneuvering target cases. Simulations show the effectiveness
of the proposed method. Compared with the Fuzzy adaptive MIE
algorithm, this algorithm has a higher tracking accuracy and
a better real-time performance.
Key words:
High maneuvering target, modified input estimation (MIE),
strong tracking filter (STF), multiple fading factors. |
