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PPS Quality Estimation From Different Receivers

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article presents data analysis of the short-term and long-term-periodic characteristics of the PPS (Pulse Per Second) signal from the navigation systems. The signal arrival time to the Earth was assessed in relation to a high stability frequency source. The basic statistical properties of the signal were calculated, e.g. mean, variance, autocorrelation and actual distributions of random variables were depicted by using a histogram. The differences have been compared between the quality of the signal from the GPS network, the GLONASS network and their combination. The equipment offered by various manufacturers was assessed. Finally, the impact of the MAV filter (Moving Average) on the characteristics of the random variable was examined. At last, but not least, the autocorrelation was checked.
Wydawca
Rocznik
Strony
383--386
Opis fizyczny
Bibliogr. 5 poz., rys., tab., wzykr.
Twórcy
autor
  • Poznan University of Technology, Faculty of Electronics and Telecommunications, 3 Polanka St., 61-131 Poznań
  • Poznan University of Technology, Faculty of Electronics and Telecommunications, 3 Polanka St., 61-131 Poznań
Bibliografia
  • [1] Kaplan E. D., Understanding GPS: Principles and Applications, Artech House, Norwood, MA, USA, 1996.
  • [2] Gasparini L., Zadedyurina O., Fontana G., Macii D., Boni A., Ofek Y.: A Digital Circuit for Jitter Reduction of GPS-disciplined 1-pps Synchronization Signals, Sardagna, Trento, Italy, AMUEM 2007.
  • [3] Lewandowski W. and Thomas C.: GPS-time transfer, Proceedings of the IEEE, Vol. 79, No. 7, pp. 991-1000, Jul. 1991.
  • [4] Ya-lun Chou: Statistical Analysis, Holt, Rinehart and Winston, 1975.
  • [5] http://www.photonicsolutions.co.uk/upfiles/VOt2700.pdf
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
PL
The presented work has been funded by the Polish Ministry of Science and Higher Education within the status activity task "80/83/DSPB/4717" in 2016.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6b0d6484-8fd4-41d3-a679-445a1892d451
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