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A study on location tracking system using Kalman filter based on sensor information

机译:基于传感器信息的卡尔曼滤波定位跟踪系统研究

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In this paper, we propose a new location estimation system for the mobile terminals. For the estimation, we can use the Global Positioning System (GPS) and the wireless LAN and so on. On the other hand, the latest mobile terminals are equipped with several sensors. We can get some information of the relative movement of the mobile terminal by these sensors. It is possible to improve the accuracy of the location estimation by combining the positioning information by the GPS and so on and the relative movement information by the sensors. In this paper, we investigate the location tracking system based on them by a Kalman filter. By computer simulations, we evaluate an effect of the relative movement information on the location estimation. We show that the proposed method outperforms the conventional positioning system.
机译:在本文中,我们提出了一种新的移动终端位置估计系统。对于估算,我们可以使用全球定位系统(GPS)和无线局域网等。另一方面,最新的移动终端配备了多个传感器。我们可以通过这些传感器获得一些有关移动终端相对运动的信息。通过结合GPS等的定位信息和传感器的相对运动信息,可以提高位置估计的精度。在本文中,我们通过卡尔曼滤波器研究基于它们的位置跟踪系统。通过计算机模拟,我们评估相对运动信息对位置估计的影响。我们表明,所提出的方法优于传统的定位系统。

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