Title:
Cramér-Rao Lower Bound Optimization of Flush Atmospheric Data System Sensor Placement
Cramér-Rao Lower Bound Optimization of Flush Atmospheric Data System Sensor Placement
Author(s)
Dutta, Soumyo
Braun, Robert D.
Braun, Robert D.
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Abstract
Flush atmospheric data systems take measurements of the pressure distribution on the
forebodies of vehicles and improve the estimate of freestream parameters during reconstruction. These systems have been present on many past entry vehicles, but design of
the pressure transducer suites and the placement of the sensors on the vehicle forebody
have largely relied on engineering judgment and heuristic techniques. This paper develops
a ush atmospheric data system design methodology using Cramer-Rao lower bound optimization to define the smallest theoretical variance possible from the estimation process.
Application of this methodology yields Pareto frontiers of possible optimal configurations
and identifies the number of ports which serve as the point of diminishing returns. The
methodology is tested with a simulated Mars entry, descent, and landing trajectory.
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Date Issued
2013-08
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Text
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Paper
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