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The Robust Passive Location Algorithm for Maneuvering Target Tracking

机译：机动目标跟踪的鲁棒无源定位算法

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摘要

With the advantages such as high security and far responding distance, the passive location has a broad application in military and civil domains such as radar and aerospace. However, most of the current passive location methods are based on the framework of the probability theory and cannot be used to deal with fuzzy uncertainty in the passive location systems. Though the fuzzy Kalman filter can be used in the uncertainty systems, it could not deal with the abrupt change of state like the maneuvering target which will lead to the filter divergence. Therefore, in order to track the maneuvering target in the fuzzy passive system, we proposed a robust fuzzy extended Kalman filter based on the orthogonality principle and the fuzzy filter in the paper. Conclusion can be made based on the simulation result that this new approach is more precise and more robust than the fuzzy filter.
机译：被动定位具有安全性高，响应距离远等优点，在军事和民用领域（如雷达和航空航天）具有广泛的应用。但是，当前大多数被动定位方法都是基于概率论的框架，不能用于处理被动定位系统中的模糊不确定性。尽管模糊卡尔曼滤波器可以在不确定性系统中使用，但它不能像操纵目标那样处理突然的状态变化，这会导致滤波器发散。因此，为了跟踪模糊被动系统中的机动目标，本文提出了一种基于正交原理和模糊滤波器的鲁棒模糊扩展卡尔曼滤波器。根据仿真结果可以得出结论，该新方法比模糊滤波器更精确，更健壮。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第10期|404986.1-404986.8|共8页
  • 作者

    Yang Xiaojun; Liu Gang; Guo Jinku; Wang Hongqiao; He Bing;

  • 作者单位

    Xian Res Inst High Technol, Xian 710025, Shaanxi, Peoples R China.;

    Xian Res Inst High Technol, Xian 710025, Shaanxi, Peoples R China.;

    Xian Res Inst High Technol, Xian 710025, Shaanxi, Peoples R China.;

    Xian Res Inst High Technol, Xian 710025, Shaanxi, Peoples R China.;

    Xian Res Inst High Technol, Xian 710025, Shaanxi, Peoples R China.;

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