期刊文献+

基于坐标转换的卡尔曼交互式多模型滤波算法 被引量:5

An Interacting Multiple Model Algorithm Based on CMKF
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摘要 为解决舰炮火控系统中在笛卡尔坐标系中测量信息的互相关性,分析了目前舰炮火控系统中所用到的坐标系及其坐标变换,在瞄准线坐标系内建立了自适应滤波的交互式多模型算法,能够充分利用跟踪传感器的量测信息,在卡尔曼滤波中具有较强的自适应能力,通过与标准交互式多模型算法的对比验证,自适应交互式多模型算法在计算精度上明显好于标准交互式多模型算法。 This paper resolves the measurement correlation of Cartesian reference frame in Navy-ship gunnery fire-control system. It Analyses the navy-ship gunnery FCS coordinates and its transformation, and the adaptive IMM algorithm based on Line-Of-Sight(LOS-AIMM) is given .The LOS-AIMM algorithm could fully use the measurement noise ,also its adaptive capability and computational precision is better than the standard IMM.
出处 《指挥控制与仿真》 2007年第5期32-35,共4页 Command Control & Simulation
关键词 瞄准线自适应交互式多模型算法 卡尔曼滤波坐标转换 机动目标跟踪 舰炮火控系统 adaptive interacting multiple model based on line-of-sight(LOS-AIMM) converted measurement Kalman Filter(CMKF) maneuvering target tracking shipbome gun fire control system
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参考文献13

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共引文献103

同被引文献39

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