Future Position Estimation In case of GPS Outages

Muhammad Aseem Uddin Shaikh, Azaan Mahmood, S. S. H. Zaidi, Muhammad Zain, Maria Ashraf
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Abstract

Global Positioning System (GPS) is the most convenient and accurate position locating systems available today (GPS). It is satellite based positioning method. From any place on the planet, six to eight satellites may normally be seen. For accurate fixing, at least four satellites are required. However, there are certain methods which can severely reduce GPS accuracy. As a result of the accuracy denial measures, the number of satellites available for repair is reduced. These procedures can result in hundreds of meters of inaccuracy. This paper focuses on development of accelerometer based hardware which can be utilized to estimate the location of the vehicle only by knowing basic factors which include the last fixed position, given acceleration and time. Proposed experimental setup suggests that implemented methodology is practical and can be utilized for precise and accurate positioning. Our approach is based on Double Integration Method and Kalman Filter (KF) which augments to future position estimation based on previous known position.
在GPS中断情况下的未来位置估计
全球定位系统(GPS)是当今最方便、最准确的定位系统。它是基于卫星的定位方法。从地球上的任何地方,通常可以看到六到八颗卫星。为了精确定位,至少需要四颗卫星。然而,某些方法会严重降低GPS的精度。由于精度拒止措施,可用于维修的卫星数量减少。这些程序可能导致数百米的误差。本文重点研究了基于加速度计的硬件系统的开发,该系统只需要知道车辆最后的固定位置、给定的加速度和时间等基本因素,就可以估计出车辆的位置。实验结果表明,所实现的方法是实用的,可用于精确定位。我们的方法是基于二重积分法和卡尔曼滤波(KF),它增强了基于先前已知位置的未来位置估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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