DocumentCode
153802
Title
Node Synchronization in a Wireless Sensor Network Using Unreliable GPS Signals
Author
Fuhrmann, Danniel R. ; Stomberg, Joshua ; Nooshabadi, Saeid ; McIntire, Dustin ; Merill, William
Author_Institution
Depts. of Electr. & Comput. Eng., Comput. Sci. Michigan Technol. Univ., Houghton, MI, USA
fYear
2014
fDate
6-8 Oct. 2014
Firstpage
630
Lastpage
636
Abstract
This paper presents our findings in using pulse measurements from a jittery one pulse per second (pps) global positioning system (GPS) clock, to synchronize the real-time clock (RTC) in each node of a wireless sensor network, when the timing jitter is subject to a empirically determined bimodal non-Gaussian distribution. Specifically, we 1) estimate the RTC phase and align it with an estimate of the true time phase, 2) calibrate the frequency of a 19.2 MHz low-cost temperature compensated crystal oscillator (TCXO) that drives the one pps RTC, and 3) track and compensate TCXO frequency variations due to environmental and aging effects. In our GPS driven synchronization methodology we adopt a statistical signal processing framework to estimate the 2% percentile in the bimodal distribution, perform a long-term frequency calibration with fractional frequency adjustment, and track the changes in the TCXO frequency to within three tick per second over a nominal 19.2 MHz frequency with an adjustment made every four hours.
Keywords
Global Positioning System; ageing; crystal oscillators; jitter; wireless sensor networks; GPS-driven synchronization methodology; RTC phase; TCXO frequency variations; bimodal distribution; bimodal nonGaussian distribution; fractional frequency adjustment; frequency 19.2 MHz; frequency calibration; node synchronization; real-time clock; statistical signal processing; temperature-compensated crystal oscillator; timing jitter; unreliable GPS signals; wireless sensor network; Frequency estimation; Global Positioning System; Kalman filters; Standards; Synchronization; Time-frequency analysis; Wireless sensor networks; GPS; Kalman filtering; clock synchronization; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Military Communications Conference (MILCOM), 2014 IEEE
Conference_Location
Baltimore, MD
Type
conf
DOI
10.1109/MILCOM.2014.111
Filename
6956832
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