Journal of Astronomy and Space Sciences (Jun 2019)

Journal Search Engine Volume/Issue : Year(s) : to Search : Title Author Keyword Search Advanced Search Adode Reader(link) Download PDF Export Citaion Korean Bibliography PMC Previewer ISSN : 2093-5587(Print) ISSN : 2093-1409(Online) Journal of Astronomy and Space Sciences Vol.36 No.2 pp.97-103 DOI : https://doi.org/10.5140/JASS.2019.36.2.97 Conditional Signal-Acquisition Parameter Selection for Automated Satellite Laser Ranging System

  • Simon Kim,
  • Hyung-Chul Lim,
  • Byoungsoo Kim

DOI
https://doi.org/10.5140/JASS.2019.36.2.97
Journal volume & issue
Vol. 36, no. 2
pp. 97 – 103

Abstract

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An automated signal-acquisition method for the NASA’s space geodesy satellite laser ranging (SGSLR) system is described as a selection of two system parameters with specified probabilities. These parameters are the correlation parameter: the minimum received pulse number for a signal-acquisition and the frame time: the minimum time for the correlation parameter. The probabilities specified are the signal-detection and false-acquisition probabilities to distinguish signals from background noise. The steps of parameter selection are finding the minimum set of values by fitting a curve and performing a graphdomain approximation. However, this selection method is inefficient, not only because of repetition of the entire process if any performance values change, such as the signal and noise count rate, but also because this method is dependent upon system specifications and environmental conditions. Moreover, computation is complicated and graph-domain approximation can introduce inaccuracy. In this study, a new method is proposed to select the parameters via a conditional equation derived from characteristics of the signal-detection and false-acquisition probabilities. The results show that this method yields better efficiency and robustness against changing performance values with simplicity and accuracy and can be easily applied to other satellite laser ranging (SLR) systems.

Keywords