P. Sirish Kumar 1 and V.B.S. Srilatha Indira Dutt2
1Department of Electronics Communication Engineering, Aditya Institute of Technology and Management, Tekkali 532201, India.
2Department of Electronics Communication Engineering, GITAM University, Visakhapatnam 530045, India.
Received:
August 19, 2020
Accepted:
September 4, 2020
Publication Date:
February 1, 2021
Download Citation:
||https://doi.org/10.6180/jase.202102_24(1).0009
ABSTRACT
Some study methods, like least-squares, Kalman filter, are worked out so far to minimize this error factor and improve the GPS positioning accuracy. This paper presents a fast, accurate, and a new method in implementing Kalman Filter for GPS positioning, based on the correntropy criterion designated as the Correntropy Kalman Filter (CKF). The suggested model is evaluated using numerous 2-Dimensional and 3-Dimensional accuracy metrics in X, Y, Z directions. The proposed method results show that the positioning accuracy for all three co-ordinates is up to 34 %, significantly greater than the general approach (Traditional Kalman Filter).
Keywords:
Accuracy; Correntropy; Correntropy Kalman Filter; Global Positioning System; Kalman Filter
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