Paper
28 December 1999 Parameter estimation and optimal design of thermal radiation detectors using engineering prototypes and numerical models
Ira J. Sorensen, J. Robert Mahan, Mamadou Y. Barry, Edward H. Kist Jr.
Author Affiliations +
Abstract
Scientists at NASA's Langley Research Center, in collaboration with researchers at Virginia Tech, are developing the next generation of thermal radiation detectors composed of new space-age materials, including carbon-doped Larc-Si and aerogels. In order to accurately model and design these detectors, it is necessary to determine the in situ thermoelectric properties of these new materials, including thin-film effects and contact resistance. The authors present an approach to determine these properties through the use of simultaneous parameter estimation methods in which experimental results obtained from detector prototypes are compared with results predicted from analytical models. Parametric values are varied using an optimization method to minimize the least-squares error between the experimental and model results. A numerical study is presented to validate the use of this approach. Simulated experimental results were produced using a model based on nominal parameter values. These results were then introduced into a parameter estimation algorithm that was able to recover the parameter values without the benefit of a priori knowledge about the material properties. Genetic algorithms, stochastic hill climbers, and a hybrid of the two methods were investigated for use in parameter estimation.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ira J. Sorensen, J. Robert Mahan, Mamadou Y. Barry, and Edward H. Kist Jr. "Parameter estimation and optimal design of thermal radiation detectors using engineering prototypes and numerical models", Proc. SPIE 3870, Sensors, Systems, and Next-Generation Satellites III, (28 December 1999); https://doi.org/10.1117/12.373176
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Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Resistance

Genetic algorithms

Optimization (mathematics)

Thermal modeling

Carbon

Capacitance

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