JISE


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Journal of Information Science and Engineering, Vol. 35 No. 6, pp. 1329-1341


Amended Kalman Filtering with Intermittent Measurements in Target Tracking

YONG-JIAN YANG1,2, XIAO-GUANG FAN2, SHU-JUAN TANG2, HAI-BAO XIA2,
ZHEN-FU ZHUO2 AND MING WAN2
1School of Electronics and Information
Northwestern Polytechnical University
Xi'an, 710038 P.R. China
2Astronautics Engineering College
Air Force Engineering University
Xi'an, 710038 P.R. China
E-mail: yangyongjian_king@126.com; 645970360@qq.com; busybring@163.com;
Haibaoxia@163.com; zzf_tiger@126.com; afwanming@163.com

This paper focuses on the state estimation problem of target tracking with intermittent measurements. Leveraged by the posterior measurements, an amended Kalman filter is proposed in this paper to improve the precision of the current estimated state. Both the deduction and proof of the amended Kalman filter are discussed specifically to distinguish amended Kalman filter from the Kalman smoother. Extensive simulations are conducted and the simulation results verify the excellent tracking performance of the amended Kalman filter.

Keywords: state estimation, target tracking, intermittent measurements, amended Kalman filter, tracking performance

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