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Empirical State Error Covariance Matrix for Batch EstimationState estimation techniques effectively provide mean state estimates. However, the theoretical state error covariance matrices provided as part of these techniques often suffer from a lack of confidence in their ability to describe the uncertainty in the estimated states. By a reinterpretation of the equations involved in the weighted batch least squares algorithm, it is possible to directly arrive at an empirical state error covariance matrix. The proposed empirical state error covariance matrix will contain the effect of all error sources, known or not. This empirical error covariance matrix may be calculated as a side computation for each unique batch solution. Results based on the proposed technique will be presented for a simple, two observer and measurement error only problem.
Document ID
20150009485
Acquisition Source
Johnson Space Center
Document Type
Presentation
Authors
Frisbee, Joe (United Space Alliance Houston, TX, United States)
Date Acquired
June 4, 2015
Publication Date
June 5, 2015
Subject Category
Mathematical And Computer Sciences (General)
Report/Patent Number
JSC-CN-33424
Meeting Information
Meeting: AIAA Annual Technical Symposium
Location: Houston, TX
Country: United States
Start Date: June 5, 2015
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NNJ09HA15C
Distribution Limits
Public
Copyright
Public Use Permitted.

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