Integration of Sensor Fusion for Enhancing GPS Navigation

Sensor fusion is a process that indirectly finds its way into various aspects of engineering without being a relevant observatory mark. This same feature of sensor fusion also applies to the GPS navigation sector. The pivotal aim of this research paper is to analyze and demonstrate various ingenious advantages of incorporating sensor fusion with various existing systems regardless of their respective field of operations. Further, paper focuses on the importance of giving more priority to the algorithms and software that ensure smooth working of the sensors rather than heavily investing on more expensive hardware resources. Algorithms like the Kalman filter play a major role in the field of sensor fusion and can be easily integrated with the existing algorithm’s used in modern day GPS navigation systems. Mainly, the explanations provided in this paper are revolving around the aircraft industry with important focus given to Military-based Aircrafts. Finally, the paper includes various simulations that focuses on replicating the movement of aircrafts in real-world scenarios and study various advantages and side effects of using a system that is the resultant of the fusion between an IMU and GPS sensor thereby overcoming the limitations of the existing GPS-based Navigation.