Dr. Bret D. Kragel Profile

Dr. Bret D. Kragel

Research Scientist at Numerica Corp

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Publications (5)

Proceedings Article | 16 April 2008 Paper

Efficiency and sensitivity of methods for assessing ambiguity in data association decisions

Bret Kragel, Shawn Herman, Nick Roseveare

Proceedings Volume 6969, 69690V (2008) https://doi.org/10.1117/12.778344

KEYWORDS: Monte Carlo methods, Sensors, Data modeling, Surveillance, Detection and tracking algorithms, Statistical analysis, Stochastic processes, Target detection, Error analysis, Data analysis

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Proceedings Article | 16 April 2008 Paper

Concurrent MAP data association and absolute bias estimation with an arbitrary number of sensors

Bret Kragel, Scott Danford, Aubrey Poore

Proceedings Volume 6969, 69691G (2008) https://doi.org/10.1117/12.784375

KEYWORDS: Sensors, Surveillance, Error analysis, Neodymium, Target detection, Data analysis, Algorithm development, Rubidium, Matrices, Data fusion

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Proceedings Article | 21 September 2007 Paper

Joint MAP bias estimation and data association: simulations

Scott Danford, Bret Kragel, Aubrey Poore

Proceedings Volume 6699, 669915 (2007) https://doi.org/10.1117/12.735225

KEYWORDS: Sensors, Data analysis, Algorithm development, Monte Carlo methods, Computer simulations, Detection and tracking algorithms, Data modeling, Computer programming, Radar, Kinematics

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Proceedings Article | 21 September 2007 Paper

Joint MAP bias estimation and data association: algorithms

Scott Danford, Bret Kragel, Aubrey Poore

Proceedings Volume 6699, 66991E (2007) https://doi.org/10.1117/12.735202

KEYWORDS: Sensors, Algorithm development, Data analysis, Error analysis, Detection and tracking algorithms, Kinematics, Computer programming, Surveillance, Computer simulations, Evolutionary algorithms

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Proceedings Article | 21 September 2007 Paper

Bias estimation using targets of opportunity

Bret Kragel, Scott Danford, Shawn Herman, Aubrey Poore

Proceedings Volume 6699, 66991F (2007) https://doi.org/10.1117/12.738161

KEYWORDS: Sensors, Error analysis, Detection and tracking algorithms, Monte Carlo methods, Data analysis, Matrices, Data fusion, Mathematical modeling, Electroluminescence, Computer simulations

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