Abstract
Evolve a new kinematic positioning algorithm to estimate the position accurately in low latitude region and assess the algorithm's performance in terms of accuracy and precision is the objective of this research paper. The Extended Kalman Filter (EKF) has been widely recognized as one of the most powerful state estimation techniques in estimating system of state variables and deteriorating measurement noise. The Extended Kalman Filter is required because the uncertainty in the Minimum Mean Square Error (MMSE) estimation can be minimized. In this article, the researcher carried out a new kinematic positioning algorithm named as Cross-Correntropy Kalman Filter (CCKF) to enhance the position accuracy and performance of the Global Positioning System (GPS) receiver. Primarily, the augmentation depends on the Cross-Correntropy criterion which is a measure of local similarity index, and a novel Fixed-Point algorithm for updating subsequent estimates. In this work, the researcher presents a thorough derivation of the method is suggested, and how to estimate the Global Positioning System receiver position in low latitudes of the Indian geographical area accurately. Furthermore, in this research paper, a comparison between estimated receiver positions, measured error and performance metrics (2-Dimensional & 3-Dimensional) together with graphical illustrations for both the algorithms (EKF & CCKF) are presented. Performance of the two algorithms (EKF and CCKF) are evaluated by considering the data of a dual frequency GPS receiver located at IGS station: IISc Bangalore (lat/lon: 13.01° N/77.56° E). The re-enactment outcomes of the proposed algorithm show that the estimated receiver position is much closer to the receiver true position. In this article, batch processing data of IGS station, IISc Bangalore, obtained from IGS network of Scrips Orbit Permanent Array Center (SOPAC) is given as input and output yields in East, North and Up directions of the receiver position.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have