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Data Quality Evaluation in Aerospace Tracking Mission
Abstract:
Modeled on data quality evaluating methodology, a standardized real-time rule framework is proposed. The framework is accurate and reliable for estimating aerospace experiment tracking information. By converting all the rule evaluating results that consisted of time-delay, error, range and etc. to a uniform questionable data count format, the framework presents an algorithm that takes both tracking source and station into account based on questionable data statistics for quantified information quality evaluating. The quantitative quality evaluation of measurement information problem can be solved via the proposed framework.
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2138-2144
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Online since:
September 2014
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© 2014 Trans Tech Publications Ltd. All Rights Reserved
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