Maximum Fuzzy Correntropy Kalman Filter and Its Application to Bearings-Only Maneuvering Target Tracking

Li Liang-Qun; Sun Ying-chun; Liu Zong-Xiang

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Maximum Fuzzy Correntropy Kalman Filter and Its Application to Bearings-Only Maneuvering Target Tracking

机译：最大模糊控制卡尔曼滤波器及其应用于轴承的操作目标跟踪

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摘要

In this paper, a novel maximum fuzzy correntropy Kalman filter (MFC-KF) algorithm is proposed to solve the problem that the effect of different samples on state estimation is uncertain in common correntropy. In the proposed algorithm, a new optimization criterion-the maximum fuzzy correntropy criterion with fuzzy correntropy based on fuzzy information theory-is used to optimize the Kalman filter, by reducing the effect of the common correntropy applying the same weight for all samples. Moreover, to apply the MFC-KF algorithm to bearings-only maneuvering target tracking, it is combined with the least-squares method for measurement conversion. Moreover, the kernel width is set adaptively. Simulations show that the proposed algorithm can track a target more accurately than the interactive multi-model extended Kalman filter (IMMEKF), the interactive multi-model unscented Kalman filter (IMMUKF), or the maximum correntropy Kalman filter (MCKF).

机译：在本文中，提出了一种新的最大模糊控制卡尔曼滤波器（MFC-KF）算法，解决了不同样本对状态估计对常见的效果的问题。在所提出的算法中，新的优化标准 - 基于模糊信息理论的模糊控制性的最大模糊控制标准 - 用于优化卡尔曼滤波器，通过减少对所有样品应用相同权重的常见控制器的效果。此外，为了应用MFC-KF算法来轴承 - 仅进行机动目标跟踪，它与用于测量转换的最小二乘法组合。此外，内核宽度被自适应地设置。模拟表明，该算法可以比交互式多模型扩展卡尔曼滤波器（Immekf）更准确地跟踪目标，该交互式多模型无创的卡尔曼滤波器（Immukf），或最大控制卡尔曼滤波器（Mckf）。

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来源
《International Journal of Fuzzy Systems》 |2021年第2期|405-418|共14页
作者
Li Liang-Qun; Sun Ying-chun; Liu Zong-Xiang;
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作者单位

Shenzhen Univ ATR Key Lab Shenzhen 518060 Peoples R China|Shenzhen Univ Guangdong Key Lab Intelligent Informat Proc Shenzhen 518060 Peoples R China;

Shenzhen Univ ATR Key Lab Shenzhen 518060 Peoples R China|Shenzhen Univ Guangdong Key Lab Intelligent Informat Proc Shenzhen 518060 Peoples R China;

Shenzhen Univ ATR Key Lab Shenzhen 518060 Peoples R China|Shenzhen Univ Guangdong Key Lab Intelligent Informat Proc Shenzhen 518060 Peoples R China;

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正文语种 eng
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关键词
Fuzzy correntropy; Least-squares method; Adaptive kernel width; Bearings-only maneuvering target tracking;

机译：模糊守则;最小二乘法;自适应内核宽度;轴承 - 仅机动目标跟踪;

Maximum Fuzzy Correntropy Kalman Filter and Its Application to Bearings-Only Maneuvering Target Tracking

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