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Analysis of the feasibility of GNSS applications for harsh environments.

Carlos Saro De Aldecoa

Analysis of the feasibility of GNSS applications for harsh environments.

Rel. Paolo Dabove, Vincenzo Di Pietra. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2021

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This project is about an analysis of the behavior of GNSS systems for its possible inclusion in applications related to mechatronics. To carry out this research, only open-source programs, mobile phones and low-cost portable receivers will be used. With this approach, citizens can have powerful tools to collect data and generate information without depending on external sensors. This procedure, called citizen sensing, gives citizens information about the quality of their living environment. By using this innovative method, the possibilities of introducing GNSS technology in mechatronic systems can increase due to the data collection with solutions that are already in use by most of the population (like mobile phones). The procedure will start in selecting the receivers that best fit the defined requirements and collect some sets of data with them in different environments. Then study different GNSS algorithms of post-processing, verify which one of them have a better behavior and compare their performance with real data. Through these comparisons, errors can be calculated and classified depending on the range of precision that they have. The idea is to be able to differentiate the quality of the sensors used during the project and choose the post-processing methods that best fit for these navigation solutions. Once all the computation is done, the final step is to select which one of the receivers, environment and algorithms can make GNSS systems to be included in which mechatronic applications.

Relators: Paolo Dabove, Vincenzo Di Pietra
Academic year: 2020/21
Publication type: Electronic
Number of Pages: 138
Corso di laurea: Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica)
Classe di laurea: New organization > Master science > LM-25 - AUTOMATION ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/19209
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