| 改进的卡尔曼滤波算法在行驶汽车状态估计中的应用现状 |
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| 引用本文： | 孙秋云.改进的卡尔曼滤波算法在行驶汽车状态估计中的应用现状[J].价值工程,2011,30(19):51-51. |
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| 作者姓名： | 孙秋云 |
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| 作者单位： | 山东交通职业学院,潍坊,261206 |
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| 摘 要： | 卡尔曼滤波及其改进方法在行驶车辆状态估计中有着广泛的应用,并取得良好的效果;本文针对自适应卡尔曼滤波算法、无轨迹卡尔曼滤波算法的应用等进行了综合性阐述。
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| 关 键 词： | 自适应卡尔曼滤波 无轨迹卡尔曼滤波 状态估计 现状 |
Present Application Status of Improved Kalman Filter in Moving Vehicle State Estimation |
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| Sun Qiuyun.Present Application Status of Improved Kalman Filter in Moving Vehicle State Estimation[J].Value Engineering,2011,30(19):51-51. |
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| Authors: | Sun Qiuyun |
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| Institution: | Sun Qiuyun(Shandong Transport Vocational College,Weifang 261206,China) |
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| Abstract: | Kalman filter and its improved methods in moving vehicle state estimation have been widely used, and obtained good results;adaptive Kalman filter algorithm,unscented Kalman filter algorithm have been reviewed. |
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| Keywords: | Adaptive Kalman Filter Unscented Kalman Filter state estimation status |
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