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Environment Dependent GNSS Signal Availability Assessment And Signal Map

Posted on:2020-08-18Degree:MasterType:Thesis
Country:ChinaCandidate:Betul BelgusenFull Text:PDF
GTID:2370330623963722Subject:Electronics and Communication Engineering
Abstract/Summary:PDF Full Text Request
Global Navigation and Satellite systems(GNSS)and high-precision positioning solution techniques are developing parallel to the technological growth and have been widely used in many applications.The main idea behind the GNSS advanced technology is to deliver higher availability,accuracy and reliability for users.Global navigation and satellite systems(GPS,BeiDou,GLONASS,Galileo)have become a powerful tool for global navigation and positioning applications.In order to obtain better GNSS signal quality and higher accuracy,the issues that affect signal quality have to be solved.One of the inevitable issue that effects GNSS signal quality is the characteristics of the environment.Nowadays,with the modernization of the environment in cities such as urban canyons described by high rise buildings,cross bridges,highways are blind spot areas for positioning solutions and causes a huge blockage for applications of satellite navigation and positioning systems.Therefore,it is crucial to proceed detailed investigation of the environment of modern cities to provide a basis for the design and analysis of future applications.Multi-constellation and multi frequency GNSS signal data analysis and data processing is a very hot topic in GNSS field.This paper aims to evaluate GPS,BeiDou satellite signals availability by comparing GNSS signals in different type of environment scenarios and creating a satellite signal availability map using Baidu Map.This paper explains the basis of the Global navigation and satellite system signals raw data collection testing requirements and methods.Presents the methods of data processing and analysis of the resulting data.
Keywords/Search Tags:Global navigation satellite system, signal availability map, Nmea 0183 protocol, data analysis, data processing
PDF Full Text Request
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