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|Title:||Experimental evaluation of a multi-frequency, multi-constellation GNSS receiver||Authors:||He, Chaowen||Keywords:||Engineering::Electrical and electronic engineering::Satellite telecommunication||Issue Date:||2021||Publisher:||Nanyang Technological University||Source:||He, C. (2021). Experimental evaluation of a multi-frequency, multi-constellation GNSS receiver. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149442||Abstract:||Global Navigation Satellite System (GNSS) is a space-based radio navigation and positioning system. It provides users with all-weather, 3-D coordinates information, as well as speed and time from anywhere on the Earth's surface or in near-Earth space. In this dissertation, the C099-F9P GNSS receiver is used to obtain the satellite signals, and a positioning software based on the C language is designed to evaluate the positioning performance of the combination multi-frequency and multi-constellation. This dissertation is divided into the following sections: 1. The first chapter introduces the development and research background in GNSS. 2. The second chapter lists some techniques that will be used in the operation of the software, including Precise Point Positioning (PPP), Satellite-Based Augmentation System (SBAS), multi-frequency, multi-constellation. 3. The third chapter gives the interface description of the receiver and the method to parse raw navigation messages, which is based on the NMEA-0183 protocol. 4. The fourth chapter elaborates the method of software design, including the method to build the connection between receiver and computer, the way to parse raw navigation messages, the use of dynamic arrays to store collected data. 5. The fifth chapter introduces the test to evaluate software performance and the result analysis. Different areas are selected to conduct dynamic positioning test, so as to verify the reliability of the software designed in this dissertation. In conclusion, the software designed in this dissertation can collect reliable positioning data, and the data is stable, and the software can run stably for a long time.||URI:||https://hdl.handle.net/10356/149442||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
Updated on May 23, 2022
Updated on May 23, 2022
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