Implementation of Precise Point Positioning GPS-aided Inertial Navigation Algorithms in Real Time Embedded Systems
Navigation System. INS/GNSS. Real Time.
This dissertation analyzes the implementation of integrated navigation algorithms in real-time embedded systems, focusing specifically on their application in agricultural environments. The integration of Inertial Navigation Systems (INS) and Global Navigation Satellite Systems (GNSS) is necessary to achieve accurate navigation, which mitigates errors inherent to both systems. The proposed approach leverages the complementary strengths of INS and GNSS, where INS provides continuous navigation data even in the absence of satellite signals, and GNSS corrects the accumulated INS errors, resulting in higher accuracy and reliability of position and velocity estimates. The implementation is carried out on an embedded platform, specifically the Raspberry Pi, designed to operate in the dynamic conditions of agricultural fields. The research includes a detailed evaluation of different INS/GNSS integration techniques, analyzing the state of the art, and how INS/GNSS performs under various conditions.