| 目标机动性未知时的多平台交互式多模型融合算法 |
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| 引用本文： | 魏同利,郝惠娟. 目标机动性未知时的多平台交互式多模型融合算法[J]. 西南民族学院学报(自然科学版), 2009, 35(2): 244-248 |
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| 作者姓名： | 魏同利 郝惠娟 |
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| 作者单位： | [1]北方民族大学基础部,宁夏银川750021 [2]宁夏大学,宁夏银川750021 |
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| 摘 要： | 多平台的交互式多模型（IMM）Kalman滤波器是一种比较有效的机动目标跟踪估计方法．但当目标存在未知机动时，基于模型的估计器的精度就会下降．目标跟踪中的输入估计技术可对未知机动性进行估计．本文在给出过程噪声和量测噪声相关情况下最小方差无偏（MVU）输入、状态滤波估计的基础上，提出了基于上述滤波器的分布式IMM多传感器多平台融合算法．仿真表明了该算法的有效性．
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| 关 键 词： | 目标机动性 无偏输入估计 分布式交互式多模型融合 |
The multi-platform Imm fusion alogrithm without knowledge of target maneuver |
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| WEI Tong-li,HAO Hui-juan. The multi-platform Imm fusion alogrithm without knowledge of target maneuver[J]. Journal of Southwest Nationalities College(Natural Science Edition), 2009, 35(2): 244-248 |
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| Authors: | WEI Tong-li HAO Hui-juan |
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| Affiliation: | WEI Tong-li, HAO Hui-juan (1. Department Foundation Science of, The North University for Nationalities, Yinchuan 750021, P. R. C 2. Ningxia University, Yinchuan 750021, E R. C.) |
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| Abstract: | The Imm kalman filter is the comparative effective target maneuver is unknown, the performance of the Kalman Fusion Algorithm in multi-platform target track, but when the filter degrades. The magnitude of the target maneuver can be estimated by the input estimation method. This paper presents the Imm fusion algorithm of multi-platform based on the minimum unbiased input state estimation in case of the known correlated noise covariance. The simulation gives better results of this algorithm. |
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| Keywords: | target maneuver unbiased input estimation distributed interacting multiple model |
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