Spline and Overlap Techniques for Analyzing SLR Data


	Space Research Journal
	Year: 2012 \| Volume: 5 \| Issue: 1 \| Page No.: 1-9 DOI: 10.3923/srj.2012.1.9

Spline and Overlap Techniques for Analyzing SLR Data

Yousry Shafik Hanna, Makram Ibrahim and Susan Wassem Samwel

Abstract: Spline and Overlap techniques are used for analyzing Satellite Laser Ranging (SLR) data. We applied the two techniques for fitting various SLR-data for 30 samples. It is found that the polynomial degree and the corresponding standard deviation of the two techniques are much better than that obtained when fitting the total number of data, in addition to a slight advantage for Spline technique over the overlap technique. However, it is found that about 11/30 samples represents that the overlap technique is better than the Spline technique which may refers to the distribution of the data points inside the interval. Furthermore, the effect of the satellite signatures on the fitting accuracy is investigated. The study clarified that the precision of the data fitting for the low signatures satellites are much better than those obtained for high signature satellites.

PDF Fulltext XML References Citation Report Citation

RELATED ARTICLES:

•	Inhomogeneous Lacunary Interpolation by Splines (0, 2; 0, 1, 4) Case

•	Analytical Studies of Laser Parameters for Ranging and Illuminating Satellites from H-SLR Station

•	Spline Functions: Assessing their Forecasting Consistency with Changes in the Type of Model and Choice of Joint Points

•	An Application Method for the Solution of Second Order Non Linear Ordinary Differential Equations by Chebyshev Polynomials

How to cite this article:

Yousry Shafik Hanna, Makram Ibrahim and Susan Wassem Samwel, 2012. Spline and Overlap Techniques for Analyzing SLR Data. Space Research Journal, 5: 1-9.

DOI: 10.3923/srj.2012.1.9

URL: https://scialert.net/abstract/?doi=srj.2012.1.9

COMMENT ON THIS PAPER

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		ASCI-Database
		Asian Digital Library
		Google Scholar

Follow @scialert

Science Alert