Precise position estimation methods for differential-IRNSS using iterative algorithm

IF 2.3 Q2 REMOTE SENSING
Nageena Parveen Syed, Thaherbasha SK
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引用次数: 0

Abstract

The Indian Regional Navigation Satellite System (IRNSS) is an elegant system for positioning of users in India. It also provides its services to an extended region. In the IRNSS, to find the unknown user location, the used pseudo range method gives only meter-level accuracy. In order to reduce the noise impacts on measurement, and to improve position accuracy (meter-level to centimeter-level) for IRNSS, in this paper, carrier phase (CP) measurement technique is employed. Here, CP-based differential techniques are proposed to find the unknown user/rover receiver position. The corresponding incremental position (positional error) is computed in both double difference (DD) and triple difference (TD) techniques (with and without filter). In this paper, the CP measurement-based differencing techniques (DD/TD) supported with recursive filter (Kalman) is analyzed. This type of methodology is mostly useful in surveying applications. With this approach, the errors are reduced greatly, and the obtained accuracy is in centimeters. The filter utilizes and projects the previous and current activity data to estimate the float response. In this work, an iterative algorithm is used to find the precise position of the rover. For a short baseline, the obtained positional errors are compared for DD and TD with/without recursive filter. To simulate the real-time data, MATLAB programming is used. The obtained root mean square error (RMSE) in position estimation in IRNSS is 2.3391 m and 0.6901 m with DD, and 0.1079 m and 0.0518 m with TD without and with filter respectively.

使用迭代算法的差分 IRNSS 精确定位估算方法
印度区域导航卫星系统(IRNSS)是一个用于印度用户定位的优雅系统。它还向更大的区域提供服务。在 IRNSS 中,要找到未知的用户位置,所使用的伪距方法只能提供米级精度。为了减少噪声对测量的影响,提高 IRNSS 的定位精度(米级到厘米级),本文采用了载波相位(CP)测量技术。本文提出了基于载波相位的差分技术来寻找未知的用户/车载接收器位置。双差分(DD)和三差分(TD)技术(带滤波器和不带滤波器)都能计算出相应的增量位置(位置误差)。本文分析了基于 CP 测量的差分技术(DD/TD)和递归滤波器(卡尔曼)。这类方法主要用于测量应用。通过这种方法,误差大大降低,获得的精度以厘米为单位。该滤波器利用并预测之前和当前的活动数据来估计浮子的响应。在这项工作中,使用了一种迭代算法来找到漫游者的精确位置。在短基线上,比较了使用/不使用递归滤波器的 DD 和 TD 所获得的位置误差。为了模拟实时数据,使用了 MATLAB 编程。在 IRNSS 的位置估计中,使用 DD 得到的均方根误差(RMSE)分别为 2.3391 米和 0.6901 米,使用 TD(无滤波器)和有滤波器得到的均方根误差(RMSE)分别为 0.1079 米和 0.0518 米。
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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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
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