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Volume 29 Issue 3
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Fan Xiao-jun, Liu Feng . A New IMM Method for Tracking Maneuvering Target[J]. Journal of Electronics & Information Technology, 2007, 29(3): 532-535. doi: 10.3724/SP.J.1146.2005.01036
Citation: Fan Xiao-jun, Liu Feng . A New IMM Method for Tracking Maneuvering Target[J]. Journal of Electronics & Information Technology, 2007, 29(3): 532-535. doi: 10.3724/SP.J.1146.2005.01036

A New IMM Method for Tracking Maneuvering Target

doi: 10.3724/SP.J.1146.2005.01036
  • Received Date: 2005-08-19
  • Rev Recd Date: 2006-01-06
  • Publish Date: 2007-03-19
  • A new IMM algorithm for tracking maneuvering target is proposed, which uses a CS(Current Statistical) model with a fading factor and a CV(Constant Velocity) model for interaction. The CS model itself has a high precision when tracking common maneuvering target, its ability of tracking a sudden maneuvering target has been improved by introducing a fading factor of Strong Tracking Filter (STF), and the high precision to track non maneuvering targets can be ensured by interacting with the CV model. Simulation results show that, when there is only common maneuver the performance of the algorithm is the same with the IMM-CS/CV, when there is a sudden maneuver, the performance of this algorithm is much better than the IMM-CS/CV.
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  • [1] Singer R A. Estimating optimal tracking filter performance for manned maneuvering targets[J].IEEE Trans. on Aerospace and Electronic Systems.1970,AES-6(4):473-483 [2] 周宏仁, 敬忠良, 王培德. 机动目标跟踪[M]. 北京: 国防工业出版社, 1991: 134-176. [3] Zhou H R and Kumar K S P. A current statistical model and adaptive algorithm for estimating maneuvering targets [J].AIAA Journal of Guidance.1984, 7(5):596-602 [4] Blom H A P and Bar-Shalom Y. The interactive multiple model algorithm for system with markov switching coefficients [J].IEEE Trans. on Automatic Control.1988, 33(8):780-783 [5] Li X R and Bar-Shalom Y. Performance prediction of the interacting multiple model algorithm [J].IEEE Trans. on Aerospace and Electronics.1993, 29(13):755-771 [6] Chen Ling and Li Shaohong. IMM tracking of 3D maneuvering target with passive TDOA system[J]. IEEE Int. Conf. Neural Networks Signal Processing, Nanjing, China, 2003: 1611-1614. [7] Mazor E, et al.. Interacting multiple model methods in multiple-multiple tracking: a survey [J]. IEEE Trans. on AES, 1998, 34 (1): 103-122. [8] Jikov V P, Angelova D S, and Semerdjiev T A. Design and comparison of mode-set adaptive IMM algorithms for maneuvering target tracking[J].IEEE Trans. on Aerospace and Electronic Systems.1999, 35(1):343-350 [9] 敬忠良, 徐宏, 周雪琴等. 基于神经网络的机动目标信息融合与并行自适应跟踪[J]. 航空学报, 1995, 16(6): 715-719. [10] 嵇成新, 张永胜. 机动目标跟踪的一种模糊算法[J]. 现代雷达, 2002 , 11(6): 35-38. Ji Cheng-xin and Zhang Yong-sheng. A fuzzy algorithm for maneuvering target tracking. Modern Radar, 2002, 11(6): 35-38. [11] Zhou D H and Frank P M. Strong tracking filtering of nonlinear time-varying stochastic systems with colored noise: application to parameter estimation and empirical robustness analysis [J].IEEE Int. J Control.1996, 65(2):295-307 [12] 周东华, 叶银忠. 现代故障诊断与容错控制[M]. 北京: 清华大学出版社, 2000: 250-260.
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