Current statistic model and adaptive tracking algorithm based on strong tracking filter

Xiao Jun Fan*, Feng Liu, Yong Qin, Jun Zhang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

33 引用 (Scopus)

摘要

A new adaptive maneuvering target tracking algorithm STF-CS is presented based on the current statistical model (CS). By introducing a fading factor of Strong Tracking Filter (STF), this algorithm improves the adaptive tracking performance greatly when there is a sudden maneuver, and has the same high precision to track common maneuvering targets as the current statistical model and adaptive tracking algorithm. Simulation results show that, when there is only common maneuver the performance of the two algorithms is the same, when there is a sudden maneuver, the performance of STF-CS is much better than the CS.

源语言英语
页(从-至)981-984
页数4
期刊Tien Tzu Hsueh Pao/Acta Electronica Sinica
34
6
出版状态已出版 - 6月 2006
已对外发布

指纹

探究 'Current statistic model and adaptive tracking algorithm based on strong tracking filter' 的科研主题。它们共同构成独一无二的指纹。

引用此

Fan, X. J., Liu, F., Qin, Y., & Zhang, J. (2006). Current statistic model and adaptive tracking algorithm based on strong tracking filter. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 34(6), 981-984.