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

摘要

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 anomalous 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 Imagery and Mapping Agency (NIMA). Conclusions reveal that new, valuable insight is gained by considering MCS Kalman filter data when performing frequency standard analysis.