Near point monitoring of the ionosphere using dual frequency GPS data over the hydearabad region: A Kalman filter approach

K. V. Reddy, P. Hari Deepak, Lvisweswararao, K. Srividhya, B. S. Srilatha, Indira Dutt
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引用次数: 1

Abstract

In order to determine the position and attitude in a wide range of applications Global Positioning System is used. One of the utmost interests regarding navigation and positioning areas is the near point monitoring of the ionosphere using dual frequency GPS data. To determine the location and regulate time on the earth's surface through GPS receivers radio signals are broadcasted by the global positioning system (GPS) satellites which enable the receivers. These GPS signals comprehend time and status of entire satellite constellations, ranging signals, navigation messages. GPS provides entire information about positioning thoroughly for twenty four hours a day which covers any part of the world. The main cause of errors for GPS signals is the ionosphere which contains anonymous distribution of electrons which introduces a frequency dependant path delay proportional to the total electron content (TEC) along the signal path. This delay in the atmosphere specifically in ionosphere is due to the existence of electrons. Ionospheric effects can be miniaturized for single frequency GPS receivers via modelling using empirical or physics-based ionospheric models. But due to the dispersive nature of ionosphere in the electromagnetic spectrum the effects are considered for dual frequency GPS receivers. Though the errors likes, clock, orbital, satellite and multipath effects which effect the GPS signals are declined depending on the particular application. In this work we are only concerned with the ionospheric errors in which the ionosphere is modelled by Kalman filter approach and the obtained results are validated using SOPAC web application. To increase the accuracy and reliability of navigation Kalman filters are widely used. Using thin shell approximation of the ionosphere as the basis, ionosphere in the LOS is modelled using Kalman filter. It also contains how ionosphere impacts the GPS signals and about ionospheric TEC observables. Near point monitoring of ionosphere is investigated based on the data of dual frequency GPS receiver of an IGS station, NGRI Hyderabad (lat: 17° 22' 31" N, long: 78° 28' 27" E) which is collected through the web.
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利用双频GPS数据对海德拉巴地区电离层的近点监测:卡尔曼滤波方法
为了在广泛的应用中确定位置和姿态,使用了全球定位系统。关于导航和定位领域的最大兴趣之一是使用双频GPS数据对电离层进行近点监测。为了通过全球定位系统(GPS)接收器确定地球表面的位置和调节时间,无线电信号由全球定位系统(GPS)卫星广播,使接收器能够工作。这些GPS信号包括整个卫星星座的时间和状态、测距信号、导航信息。全球定位系统每天24小时提供完整的定位信息,覆盖世界任何地方。GPS信号误差的主要原因是电离层,其中包含电子的匿名分布,这引入了与信号路径上的总电子含量(TEC)成比例的频率相关的路径延迟。这种在大气特别是电离层中的延迟是由于电子的存在。电离层效应可以通过使用经验模型或基于物理的电离层模型来缩小单频GPS接收机的电离层效应。但由于电离层在电磁波谱中的色散特性,对双频GPS接收机考虑了影响。虽然影响GPS信号的时钟、轨道、卫星和多径效应的误差随具体应用而减小。在本文中,我们只关注电离层误差,其中电离层采用卡尔曼滤波方法建模,并使用SOPAC web应用程序对所得结果进行验证。为了提高导航的精度和可靠性,卡尔曼滤波被广泛应用。以电离层的薄壳近似为基础,利用卡尔曼滤波对LOS中的电离层进行了建模。它还包括电离层如何影响GPS信号和电离层TEC观测。利用NGRI Hyderabad IGS站(北纬17°22′31”N,东经78°28′27”E)双频GPS接收机通过网络采集的数据,对电离层近点监测进行了研究。
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