Mixed Models Analysis of Radar Residuals Data

Carl Clifford Gaither; Christopher R. Jackson; Dawn C. Foley Loper; Jasmina Pozderac

doi:10.1109/ACCESS.2013.2263191

IEEE Access (Jan 2013)

Mixed Models Analysis of Radar Residuals Data

Carl Clifford Gaither,
Christopher R. Jackson,
Dawn C. Foley Loper,
Jasmina Pozderac

Affiliations

Carl Clifford Gaither: Institute for Defense Analyses, Alexandria, VA, USA
Christopher R. Jackson: Institute for Defense Analyses, Alexandria, VA, USA
Dawn C. Foley Loper: Institute for Defense Analyses, Alexandria, VA, USA
Jasmina Pozderac: Applied Physics Laboratory, Johns Hopkins University, Laurel, MD, USA

DOI: https://doi.org/10.1109/ACCESS.2013.2263191
Journal volume & issue: Vol. 1
pp. 350 – 362

Abstract

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Mixed models provide a novel approach to the analysis of radar tracking residuals by considering randomness from different sources. Through properly considering randomness, mixed models can provide greater power to determine the statistical significance of various parameters needed for radar calibration. This paper applies a mixed models approach to the analysis of radar tracking residuals from calibration satellites observed by the Cobra Dane radar and finds a time dependent bias in the azimuth residuals.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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