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An Altitude Location System for Vehicle Based on Federated Kalman Filter

机译:基于联邦卡尔曼滤波的车辆高空定位系统

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In order to better locate the altitude of vehicle in complex conditions such as urban environment, an altitude measurement system based on GPS and multi-sensor is proposed. Global positioning system, barometric altimeter and inertial measurement unit are used to measure the altitude of vehicle based on information fusion algorithm. The principle and model of the three sensors are analyzed, and information fusion algorithm based on federated filter is studied. On this basis, the information prediction and fusion process of the three sensors is discussed. The experiment results show that the system is reasonable in design and can measure the altitude of the vehicle accurately, which has certain application value.
机译:为了更好地定位城市环境等复杂条件下的车辆高度,提出了一种基于GPS和多传感器的高度测量系统。基于信息融合算法,使用全球定位系统,气压高度计和惯性测量单元来测量车辆的高度。分析了三个传感器的原理和模型,研究了基于联合滤波器的信息融合算法。在此基础上,讨论了三个传感器的信息预测和融合过程。实验结果表明,该系统设计合理,可以准确测量车辆的高度,具有一定的应用价值。

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