The accuracy of SYLT- and RNS-based time scales at MTI and SNT during 1990-1991

Other

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Accuracy, Frequency Measurement, Loran C, Radio Navigation, Radio Transmission, Time Measurement, Atomic Clocks, Communication Networks, Global Positioning System, Metrology, Time

Scientific paper

The phases of transmissions from Norwegian Sea Loran Sylt and Soviet Radionavigation System (RNS) Bryansk stations were measured at MTI (Metrology National Time and Frequency Laboratory) (Finland) and SNT (Swedish National Time and Frequency Laboratory) (Sweden) daily for two years to find out the uncertainty of time scales based on them. The phases were traced back to UTC by using BIPM time circulars and appropriate time information letters for other laboratories. The reference time scale at MTI is a GPS receiver. The reference time scale at SNT is based on one of three Cs clocks which contribute to UTC. The results show that by common view Sylt measurements, a Loran C based time scale can be maintained at 100 ns level/10 days. By using RNS common view measurements, a time scale at about 500 ns/10 day level is achievable.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

The accuracy of SYLT- and RNS-based time scales at MTI and SNT during 1990-1991 does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with The accuracy of SYLT- and RNS-based time scales at MTI and SNT during 1990-1991, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The accuracy of SYLT- and RNS-based time scales at MTI and SNT during 1990-1991 will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1203689

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.