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Proceedings Paper

Data-modeling-enabled guidance, navigation, and control to enhance the lethality of interceptors against maneuvering targets
Author(s): Holger M. Jaenisch; James Handley; Jeffrey P. Faucheux; Ken Lamkin
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Paper Abstract

GNC algorithms are evolved from linear optimal control theory. This approach accommodates simple target maneuvers; however, these approaches lack robustness when advanced threats with intelligent target maneuvers are encountered. Kalman filters (KF) and Extended Kalman filters (EKF) require a priori defined models or equations of motion for objects being observed. Data Modeling autonomously assesses physical characteristics of a tracked object from only its measured motion. Estimates of object's mass, equivalent area, and probable control feedback loop parameters are obtained. These equations become state and process models for Kalman filters.

Paper Details

Date Published: 28 March 2005
PDF: 12 pages
Proc. SPIE 5813, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005, (28 March 2005); doi: 10.1117/12.603413
Show Author Affiliations
Holger M. Jaenisch, SPARTA, Inc. (United States)
James Handley, SPARTA, Inc. (United States)
Jeffrey P. Faucheux, SPARTA, Inc. (United States)
Ken Lamkin, SPARTA, Inc. (United States)


Published in SPIE Proceedings Vol. 5813:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005
Belur V. Dasarathy, Editor(s)

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