Publication Type : Journal Article
Publisher : Communications in Computer and Information Science, Springer Verlag
Source : Communications in Computer and Information Science, Springer Verlag, Volume 746, p.411-421 (2017)
Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034591975&doi=10.1007%2f978-981-10-6898-0_34&partnerID=40&md5=68921384a904b016aac9525cae2a730c
ISBN : 9789811068973
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2017
Abstract : For proper functioning of the GPS system, tracking the code and carrier effectively in GPS receivers is important. The time taken for a signal to propagate from a satellite is calculated by a GPS receiver by analyzing the “pseudo random code” it generates, to that of code generated in the signal from the satellite. So it is important to effectively track the code before they become out of phase. The tracking medium synchronizes consecutively, the acquired satellite signal with the code and carrier frequencies that are locally generated. To track these parameters Kalman filter is used. To improve the efficiency of estimation and to obtain faster and accurate results particle filter (PF) is proposed, which further reduces the complexity as compared to that of the Kalman filter.
Cite this Research Publication : M. Nishanth, Anita, J. P., and Sudheesh, P., “Tracking of GPS Parameters Using Particle Filter”, Communications in Computer and Information Science, vol. 746, pp. 411-421, 2017.