@article{(Open Science Index):https://publications.waset.org/pdf/9207,
	  title     = {Static Single Point Positioning Using The Extended Kalman Filter},
	  author    = {I. Sarras and  G. Gerakios and  A. Diamantis and  A. I. Dounis and  G. P. Syrcos},
	  country	= {},
	  institution	= {},
	  abstract     = {Global Positioning System (GPS) technology is widely used today in the areas of geodesy and topography as well as in aeronautics mainly for military purposes. Due to the military usage of GPS, full access and use of this technology is being denied to the civilian user who must then work with a less accurate version. In this paper we focus on the estimation of the receiver coordinates ( X, Y, Z ) and its clock bias ( δtr ) of a fixed point based on pseudorange measurements of a single GPS receiver. Utilizing the instantaneous coordinates of just 4 satellites and their clock offsets, by taking into account the atmospheric delays, we are able to derive a set of pseudorange equations. The estimation of the four unknowns ( X, Y, Z , δtr ) is achieved by introducing an extended Kalman filter that processes, off-line, all the data collected from the receiver. Higher performance of position accuracy is attained by appropriate tuning of the filter noise parameters and by including other forms of biases.
},
	    journal   = {International Journal of Civil and Architectural Engineering},
	  volume    = {4},
	  number    = {1},
	  year      = {2010},
	  pages     = {135 - 140},
	  ee        = {https://publications.waset.org/pdf/9207},
	  url   	= {https://publications.waset.org/vol/37},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 37, 2010},
	}