Radar Target Tracking Error Research Using Kalman Filter-Based Algorithms

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Abstract:

The methods of radar target tracking have a substantial effect on the accuracy of the whole radar systems. The basic principles and implementing steps of the Extended Kalman filter (the EKF) and the Unscented Kalman filter (the UKF) are briefly introduced. The main sources of radar observation errors and the limitation of the current methods are analyzed. According to the requirements of tracking a CV target, the EKF and the UKF are used to simulate the experiments by establishing the specific model of radar target tracking. The results show that the tracking errors can be constrained within a certain range and the whole systems also have the high tracking accuracy.

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1184-1187

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Chunling Yang and Guosui Liu: Journal of Modern Radar.Vol. 5(1998), p.45. (in Chinese)

Google Scholar

[2] Zhansheng Duan, Hongyan Zhu and Chongzhao Han,et al.: Proceedings of the 8th International Conference on Information Fusion. July( 2005), p.130. (in Chinese)

DOI: 10.1109/icif.2005.1591846

Google Scholar

[3] Shengxi Huang and Hua Liu: Computer Engineering and Applications. Vol. 46(2010), p.214. (in Chinese)

Google Scholar

[4] Zarachan, Paul and M. Howard: Fundamentals of Kalman Filtering: A Practical Approach. Progress in Astronautics and Aeronautics, Vol.190, American Institute of Aeronautics and Astronautics, Inc., (2000).

DOI: 10.1017/s000192400001232x

Google Scholar

[5] E. A. Wan and R. Van der Merwe: In Proc of the Symposium 2000 on Adaptive System for Signal Processing, Communication and Control , Lake Louise, Alberta, Canada, IEEE(2000).

Google Scholar