Journal of Systems Engineering and Electronics ›› 2013, Vol. 35 ›› Issue (2): 256-262.doi: 10.3969/j.issn.1001-506X.2013.02.04
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ZHOU Hang, FENG Xin-xi, WANG Rong, ZHANG Jing
Online:
Published:
Abstract:
To improve the performance of maneuvering target tracking, an interacting multiple model (IMM) algorithm is proposed based on the adaptive extended H∞ filter. The improved Sage-Husa adaptive filter is intergrated with the IMM model to fuse the measurements of multiple passive sensors to alleviate the unobservability and the nonlinearity simultaneously. The extended H∞ filter works as the modelconditional filter. Its parameters and observed noise predicted covariance matrix are adjusted for robustness. The simulation results show that the extended H∞ fusion tracking algorithm has higher tracking precision than the extended Kalman filter interacting multiple model and the traditional interacting multiple model. The extended H∞ fusion tracking algorithm is an effective tracking algorithm for the multiple stations passive infrared search and tracking system.
ZHOU Hang, FENG Xin-xi, WANG Rong, ZHANG Jing. Maneuvering target passive tracking based on adaptive extended H∞ filter[J]. Journal of Systems Engineering and Electronics, 2013, 35(2): 256-262.
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URL: https://www.sys-ele.com/EN/10.3969/j.issn.1001-506X.2013.02.04
https://www.sys-ele.com/EN/Y2013/V35/I2/256