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Proceedings Paper

Robust filtering technique for missile seekers
Author(s): Shan Cong; Lang Hong
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Paper Abstract

A seeker is one of the most significant components in a missile guidance system. Because an advanced missile is required to operate in highly dynamic scenarios, the ability to handle uncertainties is important to the filter of a missile seeker. Sources for uncertainties are various. For instance, when a nonlinear system is linearized, the unmodeled high frequency dynamics could corrupt the filtering process when a large persistent estimation error accumulates. Facing the uncertainties, we propose to develop a robust filter for a seeker so that the uncertainties are precompensated in design. First, the uncertainty in a linear observation equation, which is the approximation of a nonlinear equation, is replaced by an equivalent noise process. The equivalent noise process is added to the nominal system and an auxiliary system is formed. A Kalman filter is designed for the auxiliary system so that an unbiased estimate of the system can be reached. Because the uncertainty in the original system is compensated, the filter for the auxiliary system is robust for the original system in the sensor that it provides an error bound for the nominal system with admissible uncertainties.

Paper Details

Date Published: 3 September 1998
PDF: 10 pages
Proc. SPIE 3373, Signal and Data Processing of Small Targets 1998, (3 September 1998); doi: 10.1117/12.324620
Show Author Affiliations
Shan Cong, Wright State Univ. (United States)
Lang Hong, Wright State Univ. (United States)

Published in SPIE Proceedings Vol. 3373:
Signal and Data Processing of Small Targets 1998
Oliver E. Drummond, Editor(s)

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