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Kalman plus weights: a time scale algorithm

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dc.contributor.author Greenhall, C. A. en_US
dc.date.accessioned 2004-11-09T21:48:09Z
dc.date.available 2004-11-09T21:48:09Z
dc.date.issued 2001-11-27 en_US
dc.identifier.citation 33rd Annual Precise Time and Time Interval (PTTI) Systems and Applications Meeting en_US
dc.identifier.citation Long Beach, CA, USA en_US
dc.identifier.clearanceno 01-2584 en_US
dc.identifier.uri http://hdl.handle.net/2014/36902
dc.description.abstract KPW is a time scale algorithm that combines Kalman filtering with the basic time scale equation (BTSE). A single Kalman filter that estimates all clocks simultaneously is used to generate the BTSE frequency estimates, while the BTSE weights are inversely proportional to the white FM variances of the clocks. Results from simulated clock ensembles are compared to previous simulation results from other algorithms. en_US
dc.format.extent 523487 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other time time scales stability Kalman filtering en_US
dc.title Kalman plus weights: a time scale algorithm en_US


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