The Infusion of MCS Kalman Filter Data Into GPS Block II/IIA Frequency Standard Analysis Techniques

Gary L. Dieter, Gregory E. Hatten, Jack Taylor

Abstract:	Recent advances have allowed Boeing GPS navigation payload analysts the ability to transfer, archive, and manipulate Master Control Station (MCS) Kalman filter data. Previously, access to these data was cumbersome and restricted to a limited timespan. The new data retrieval process has proven to be useful in many areas of GPS analysis, including frequency standard performance characterization. Both routine and anomolous frequency standard performance analysis techniques are enhanced by considering the characteristics and trends of key MCS filter variables. This paper describes the methodology by which the MCS Kalman filter data is attained. It also examines situations in which MCS Kalman filter clock state estimates and navigation performance metrics have proven to be useful in analyzing frequency standard performance. Examples include routine examination of frequency standard stability using MCS phase offset estimates, analysis of MCS frequency offset estimates before and after a “clock q-bump,” and comparison of MCS clock state estimates versus those of the National lmagery and Mapping Agency (NIMA). Conclusions reveal that new, valuable insight is gained by considering MCS Kalman filter data when performing frequency standard analysis.
Published in:	Proceedings of the 32th Annual Precise Time and Time Interval Systems and Applications Meeting November 28 - 30, 2000 Hyatt Regency Reston Town Center Reston, Virginia
Pages:	117 - 128
Cite this article:	Dieter, Gary L., Hatten, Gregory E., Taylor, Jack, "The Infusion of MCS Kalman Filter Data Into GPS Block II/IIA Frequency Standard Analysis Techniques," Proceedings of the 32th Annual Precise Time and Time Interval Systems and Applications Meeting, Reston, Virginia, November 2000, pp. 117-128.
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