Mathematical Regression Model to predict Navigation with Indian Constellation (NavIC) Geo Synchronous Satellite System

Vivek Chamoli, R. Prakash, A. Vidyarthi
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引用次数: 1

Abstract

Satellite signals become a plane wave by the time they reach Earth's surface Signal consistency together with satellite availability and geometric precision dilution plays an important role in positional accuracy. Some satellite communication research indicated that the elevation angle of the transmission path of the signal determines the efficiency of the links between the transmitter and the receiver. Hence, there is requirement of mathematical model, which provide relation between received signal strength (C/N0) and elevation angle to predict the direct C/N0. In this paper has been made to develop a mathematical model for predict of direct C/N0 NavIC Geo synchronous satellites. The antenna used in experiment for data collection has been placed on roof top of the Graphic Era University building in Dehradun, India. The NavIC regression model was validated with the experimental data. Average R2 and RMSE value for developed regression model were 0.89 and 1.08 respectively which show good prediction of NavIC C/N0 value with developed model.
印度同步卫星系统导航预测的数学回归模型
卫星信号到达地球表面后变成平面波,信号一致性与卫星可用性、几何精度稀释对定位精度有重要影响。一些卫星通信研究表明,信号传输路径的仰角决定了发射机和接收机之间链路的效率。因此,需要数学模型来提供接收信号强度(C/N0)与仰角的关系,以预测直接的C/N0。本文建立了直接C/N0同步卫星预测的数学模型。实验中用于数据收集的天线被放置在印度德拉敦图形时代大学大楼的屋顶上。用实验数据对NavIC回归模型进行了验证。建立的回归模型的平均R2和RMSE值分别为0.89和1.08,表明该模型能较好地预测NavIC C/N0值。
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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