GPS Receiver Position Augmentation Using Correntropy Kalman Filter in Low Latitude Terrain
Sirish Kumar Pagoti1, Srilatha Indira Dutt Vemuri2, and Ganesh Laveti3
1Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management, India
2Department of Electronics and Communication Engineering, GITAM University, India
3Department of Electronics and Communication Engineering, GVP College of Engineering for Women, India
Abstract: If any Global Positioning System (GPS) receiver is operated in low latitude regions or urban canyons, the visibility further reduces. These system constraints lead to many challenges in providing precise GPS position accuracy over the Indian subcontinent. As a result, the standalone GPS accuracy does not meet the aircraft landing requirements, such as Category I (CAT-I) Precision Approaches. However, the required accuracy can be achieved by augmenting the GPS. Among all these issues, the predominant factors that significantly influence the receiver position accuracy are selecting a user/receiver position estimation algorithm. In this article, a novel method is proposed based on correntropy and designated as Correntropy Kalman Filter (CKF) for precise GPS applications and GPS Aided Geosynchronous equatorial orbit Augmented Navigation (GAGAN) based aircraft landings over the low latitude Indian subcontinent. The real-world GPS data collected from a dual-frequency GPS receiver located in the southern region of the Indian subcontinent (IISc), Bangalore with Lat/Long: 13.021°N/ 77.5°E) is used for the performance evaluation of the proposed algorithm. Results prove that the proposed CKF algorithm exhibits significant improvement (up to 34%) in position estimation compared to the traditional Kalman Filter.
Keywords: Accuracy, correntropy, correntropy kalman filter, global positioning system, kalman filter.
Received February 7, 2020; accepted February 7, 2021