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Virtual Satellite Positioning Technology Based on Differential Pressure Altimetry and PDR

机译:基于压差测高和PDR的虚拟卫星定位技术

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摘要

In recent years, with the rapid development of information technology and the improvement of people's quality of life, location service has become an indispensable part of people's life. In the outdoor environment, only three satellites can be received in some locations. In this case, the traditional satellite positioning method is difficult to obtain more accurate positioning results. The existing satellite positioning technology uses differential barometric altimeter to construct the earth ellipsoid model, which can be located under the condition of visible three satellites. However, its positioning accuracy is poor. Therefore, this paper presents a virtual satellite positioning technology based on differential pressure altimetry and PDR to solve the above issues. The technology needs to use the coordinate of the previous positioning result as the reference point coordinate to establish virtual satellite pseudo-range observation equations. Newton iterative method is used to get the result of single-point positioning result. The Kalman filter is used to fuse the inertial sensor information and single-point positioning results to get more accurate positioning results. The experimental verification shows that the proposed technology can also locate in the visible three-satellite case with the accuracy of1.82 meters (1 σ), which is 27.63% more accurate than the existing three-satellite positioning technology based on terrestrial mobile communication base stations. When four satellite signals are received, the proposed technology has a positioning accuracy of about 1.44 meters (1 σ), which is 32.08% more accurate than the test of same environment with only four satellites for positioning.
机译:近年来,随着信息技术的飞速发展和人们生活质量的提高,定位服务已成为人们生活中不可缺少的一部分。在室外环境中,某些位置只能接收三颗卫星。在这种情况下,传统的卫星定位方法很难获得更准确的定位结果。现有的卫星定位技术使用差分气压高度计来构建地球椭球模型,该模型可以在可见三颗卫星的条件下定位。但是,其定位精度差。因此,本文提出了一种基于压差测高和PDR的虚拟卫星定位技术来解决上述问题。该技术需要使用先前定位结果的坐标作为参考点坐标来建立虚拟卫星伪距观测方程。牛顿迭代法用于得到单点定位结果。卡尔曼滤波器用于融合惯性传感器信息和单点定位结果,以获得更准确的定位结果。实验验证表明,所提出的技术还可以定位在可见的三颗卫星情况下,精度为1.82米(1σ),比现有的基于地面移动通信基础的三颗卫星定位技术精度高27.63%。站。当接收到四个卫星信号时,所提出的技术具有约1.44米(1σ)的定位精度,比仅使用四个卫星进行定位的相同环境的测试精度高32.08%。

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