Precision Timing with LEO Satellite Time and Location Signals. Smith, A. M. & Bevly, D. M. In pages 197–206, January, 2023.
Paper doi abstract bibtex The work presented in this paper aims to assess the accuracy, stability, and convergence rates of static receiver timing solutions from low-Earth orbit (LEO) Satellite Time and Location (STL) signals. The motivation for this work lies in the wide range of industries that rely on nanosecond-level timing precision. Traditional means of satellite-based timing, such as Global Navigation Satellite Systems (GNSS), prove to be vulnerable under various conditions, compromising their accuracy. The STL signals from the Iridium satellite constellation are received at a much higher signal power, rendering them more resilient to these interferences. Two tests were conducted in this study. For Test 1, two scenarios were considered. The first scenario assumes a known, static antenna position, where the receiver clock bias and drift were estimated with an Extended Kalman Filter (EKF). The second scenario assumes an unknown, static antenna position, where a 3-dimensional Earth-Centered, Earth-Fixed (ECEF) position, clock bias and clock drift were estimated with a Recursive Least Squares (RLS) Solution. The algorithms were implemented with live-sky STL data collected with a newly-released, commercially-available Jackson Labs STL-2600 receiver with a Rubidium clock input. For Test 2, a time interval difference test between the Jackson Labs receiver 1-PPS output and a GNSS 1-PPS reference. In each of the tests, the long-term timing accuracy was determined to be within 205 nanoseconds, with sub-nanosecond per second drift. The results for Test 1 include time state estimate plots, filter covariance convergence, and error statistics. The results for Test 2 include pre- and post-settling time difference plots and error statistics.
@inproceedings{smith_precision_2023,
title = {Precision {Timing} with {LEO} {Satellite} {Time} and {Location} {Signals}},
url = {http://www.ion.org/publications/abstract.cfm?jp=p&articleID=18693},
doi = {10.33012/2023.18693},
abstract = {The work presented in this paper aims to assess the accuracy, stability, and convergence rates of static receiver timing solutions from low-Earth orbit (LEO) Satellite Time and Location (STL) signals. The motivation for this work lies in the wide range of industries that rely on nanosecond-level timing precision. Traditional means of satellite-based timing, such as Global Navigation Satellite Systems (GNSS), prove to be vulnerable under various conditions, compromising their accuracy. The STL signals from the Iridium satellite constellation are received at a much higher signal power, rendering them more resilient to these interferences. Two tests were conducted in this study. For Test 1, two scenarios were considered. The first scenario assumes a known, static antenna position, where the receiver clock bias and drift were estimated with an Extended Kalman Filter (EKF). The second scenario assumes an unknown, static antenna position, where a 3-dimensional Earth-Centered, Earth-Fixed (ECEF) position, clock bias and clock drift were estimated with a Recursive Least Squares (RLS) Solution. The algorithms were implemented with live-sky STL data collected with a newly-released, commercially-available Jackson Labs STL-2600 receiver with a Rubidium clock input. For Test 2, a time interval difference test between the Jackson Labs receiver 1-PPS output and a GNSS 1-PPS reference. In each of the tests, the long-term timing accuracy was determined to be within 205 nanoseconds, with sub-nanosecond per second drift. The results for Test 1 include time state estimate plots, filter covariance convergence, and error statistics. The results for Test 2 include pre- and post-settling time difference plots and error statistics.},
language = {en},
urldate = {2024-06-20},
author = {Smith, Austin M. and Bevly, David M.},
month = jan,
year = {2023},
pages = {197--206},
}
Downloads: 0
{"_id":"KsCfzksGP4d6D2vXH","bibbaseid":"smith-bevly-precisiontimingwithleosatellitetimeandlocationsignals-2023","author_short":["Smith, A. M.","Bevly, D. M."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"Precision Timing with LEO Satellite Time and Location Signals","url":"http://www.ion.org/publications/abstract.cfm?jp=p&articleID=18693","doi":"10.33012/2023.18693","abstract":"The work presented in this paper aims to assess the accuracy, stability, and convergence rates of static receiver timing solutions from low-Earth orbit (LEO) Satellite Time and Location (STL) signals. The motivation for this work lies in the wide range of industries that rely on nanosecond-level timing precision. Traditional means of satellite-based timing, such as Global Navigation Satellite Systems (GNSS), prove to be vulnerable under various conditions, compromising their accuracy. The STL signals from the Iridium satellite constellation are received at a much higher signal power, rendering them more resilient to these interferences. Two tests were conducted in this study. For Test 1, two scenarios were considered. The first scenario assumes a known, static antenna position, where the receiver clock bias and drift were estimated with an Extended Kalman Filter (EKF). The second scenario assumes an unknown, static antenna position, where a 3-dimensional Earth-Centered, Earth-Fixed (ECEF) position, clock bias and clock drift were estimated with a Recursive Least Squares (RLS) Solution. The algorithms were implemented with live-sky STL data collected with a newly-released, commercially-available Jackson Labs STL-2600 receiver with a Rubidium clock input. For Test 2, a time interval difference test between the Jackson Labs receiver 1-PPS output and a GNSS 1-PPS reference. In each of the tests, the long-term timing accuracy was determined to be within 205 nanoseconds, with sub-nanosecond per second drift. The results for Test 1 include time state estimate plots, filter covariance convergence, and error statistics. The results for Test 2 include pre- and post-settling time difference plots and error statistics.","language":"en","urldate":"2024-06-20","author":[{"propositions":[],"lastnames":["Smith"],"firstnames":["Austin","M."],"suffixes":[]},{"propositions":[],"lastnames":["Bevly"],"firstnames":["David","M."],"suffixes":[]}],"month":"January","year":"2023","pages":"197–206","bibtex":"@inproceedings{smith_precision_2023,\n\ttitle = {Precision {Timing} with {LEO} {Satellite} {Time} and {Location} {Signals}},\n\turl = {http://www.ion.org/publications/abstract.cfm?jp=p&articleID=18693},\n\tdoi = {10.33012/2023.18693},\n\tabstract = {The work presented in this paper aims to assess the accuracy, stability, and convergence rates of static receiver timing solutions from low-Earth orbit (LEO) Satellite Time and Location (STL) signals. The motivation for this work lies in the wide range of industries that rely on nanosecond-level timing precision. Traditional means of satellite-based timing, such as Global Navigation Satellite Systems (GNSS), prove to be vulnerable under various conditions, compromising their accuracy. The STL signals from the Iridium satellite constellation are received at a much higher signal power, rendering them more resilient to these interferences. Two tests were conducted in this study. For Test 1, two scenarios were considered. The first scenario assumes a known, static antenna position, where the receiver clock bias and drift were estimated with an Extended Kalman Filter (EKF). The second scenario assumes an unknown, static antenna position, where a 3-dimensional Earth-Centered, Earth-Fixed (ECEF) position, clock bias and clock drift were estimated with a Recursive Least Squares (RLS) Solution. The algorithms were implemented with live-sky STL data collected with a newly-released, commercially-available Jackson Labs STL-2600 receiver with a Rubidium clock input. For Test 2, a time interval difference test between the Jackson Labs receiver 1-PPS output and a GNSS 1-PPS reference. In each of the tests, the long-term timing accuracy was determined to be within 205 nanoseconds, with sub-nanosecond per second drift. The results for Test 1 include time state estimate plots, filter covariance convergence, and error statistics. The results for Test 2 include pre- and post-settling time difference plots and error statistics.},\n\tlanguage = {en},\n\turldate = {2024-06-20},\n\tauthor = {Smith, Austin M. and Bevly, David M.},\n\tmonth = jan,\n\tyear = {2023},\n\tpages = {197--206},\n}\n\n\n\n","author_short":["Smith, A. M.","Bevly, D. M."],"key":"smith_precision_2023","id":"smith_precision_2023","bibbaseid":"smith-bevly-precisiontimingwithleosatellitetimeandlocationsignals-2023","role":"author","urls":{"Paper":"http://www.ion.org/publications/abstract.cfm?jp=p&articleID=18693"},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://bibbase.org/zotero-group/keb0115/5574615","dataSources":["kDK6fZ4EDThxNKDCP"],"keywords":[],"search_terms":["precision","timing","leo","satellite","time","location","signals","smith","bevly"],"title":"Precision Timing with LEO Satellite Time and Location Signals","year":2023}