@InProceedings{6952104,
  author = {c. Galleani},
  booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
  title = {Characterizing changes in the noise statistics of GNSS space clocks with the dynamic Allan variance},
  year = {2014},
  pages = {426-430},
  abstract = {The dynamic Allan variance (DAVAR) is a tool for the characterization of precise clocks. Monitoring anomalies of precise clocks is essential, especially when they are employed onboard the satellites of a global navigation satellite system (GNSS). When an anomaly occurs, the DAVAR changes with time, its shape depending on the type of anomaly occurred. We obtain the analytic DAVAR for a change of variance in the clock noise, an anomaly with critical effects on the clock performances. This result is helpful when the clock health is monitored by observing the DAVAR.},
  keywords = {clocks;satellite navigation;noise statistics;GNSS space clocks;dynamic Allan variance;DAVAR;global navigation satellite system;Noise;Global Positioning System;Satellites;Time-frequency analysis;Atomic clocks;Dynamic Allan variance;GNSS clocks;clock noise;clock anomaly;change of variance},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569924103.pdf},
}

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