Kalman Filter-Based RAIM for Reliable Aircraft Positioning with GPS and NavIC Constellations.

ABSTRACT: This paper presents a novel Kalman filter (KF)-based receiver autonomous integrity monitoring (RAIM) algorithm for reliable aircraft positioning with global navigation satellite systems (GNSS). The presented method overcomes major limitations of the authors' previous work, and uses two GNSS, namely, Navigation with Indian Constellation (NavIC) of India and the Global Positioning System (GPS). The algorithm is developed in the range domain and compared with two existing approaches-one each for the weighted least squares navigation filter and KF. Extensive simulations were carried out for an unmanned aircraft flight path over the Indian sub-continent for validation of the new approach. Although both existing methods outperform the new one, the work is significant for the following reasons. K

SUBMITTER: Bhattacharyya S 

PROVIDER: S-EPMC7698837 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature