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雷达/红外双模制导背景下的模糊目标跟踪器 被引量:14

A Fuzzy Target Tracker Based on Radar/Infrared Dual Mode Guidance
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摘要 在雷达/红外双模制导背景下,对雷达/红外传感器的测量数据进行融合并提出了一种跟踪机动目标的模糊跟踪器。该跟踪器能够精确的获取目标机动的动态信息,应用一系列的模糊规则自适应的调整卡尔曼滤波器的过程噪声协方差矩阵,从而更适合用于实际的跟踪系统。通过对红外成像和雷达多传感器对目标跟踪系统的数字仿真表明所提出的模糊跟踪器性能良好。 In this paper, based on radar/infrared dual mode guidance system, a fuzzy target tracker is proposed to track maneuverable targets. After fusing the data from radar and infrared sensors, this tracker is found to be able to more exactly extract dynamic information of target maneuvers. It uses a set of fuzzy rules to adaptively adjust the process noise covariance of the filter and that makes it more suitable to real tracking system. The digital simulation results show that the proposed fuzzy tracker has good tracking performance.
出处 《系统仿真学报》 CAS CSCD 2003年第8期1152-1154,共3页 Journal of System Simulation
基金 航天创新基金与航空科学基金( 98D51003 )
关键词 数据融合 模糊目标跟踪器 模糊规则 卡尔曼滤波 data fusion fuzzy target tracker fuzzy rules Kalman filter
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参考文献3

  • 1J.Z.Sasiadek, J.Khe Sensor Fusion based on Fuzzy Kalman Filter[A].2001 Proceedings of the Second International Workshop on Robot Motion and Control[C], 2001, 275-283.
  • 2Shetty S, Alouani A T. A Multisensor Tracking System With an Image-Based Maneuver Detector [J]. IEEE Trans. On Aerospace and Electronic Systems, 1996, 32(1): 167-185.
  • 3Zhen Ding, Henry Leung, Keith Chart, Zhiwen Zhu. Model-Set Adaptation Using a Fuzzy Kalman Filter [J]. Mathematical and Computer Modeling, 2001, 34: 799-812.

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