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Open AccessArticle

Angular Correlation Using Rogers-Szegő-Chaos

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Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA
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Department of Aerospace Engineering, Texas A&M University, College Station, TX 77843, USA
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Author to whom correspondence should be addressed.
Mathematics 2020, 8(2), 171; https://doi.org/10.3390/math8020171
Received: 30 December 2019 / Revised: 18 January 2020 / Accepted: 21 January 2020 / Published: 1 February 2020
(This article belongs to the Special Issue Computational Mathematics, Algorithms, and Data Processing)
Polynomial chaos expresses a probability density function (pdf) as a linear combination of basis polynomials. If the density and basis polynomials are over the same field, any set of basis polynomials can describe the pdf; however, the most logical choice of polynomials is the family that is orthogonal with respect to the pdf. This problem is well-studied over the field of real numbers and has been shown to be valid for the complex unit circle in one dimension. The current framework for circular polynomial chaos is extended to multiple angular dimensions with the inclusion of correlation terms. Uncertainty propagation of heading angle and angular velocity is investigated using polynomial chaos and compared against Monte Carlo simulation. View Full-Text
Keywords: polynomial chaos; Szegő polynomials; directional statistics; Rogers-Szegő; state estimation polynomial chaos; Szegő polynomials; directional statistics; Rogers-Szegő; state estimation
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Schmid, C.; DeMars, K.J. Angular Correlation Using Rogers-Szegő-Chaos. Mathematics 2020, 8, 171.

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