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Proceedings Paper

Nonlinear filtering for ground target applications
Author(s): Keith D. Kastella; Chris M. Kreucher; Michael A. Pagels
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Paper Abstract

This paper describes a nonlinear filter for ground target tracking. Hospitability for maneuver derived from terrain, road and vehicle dynamics constraints is incorporated directly into the filter's motion model. The conditional probability density for the target state is maintained and updated with sensor measurements as soon as they become available. The conditional density is time updated between sensor measurements using finite difference methods. In simulations using square-law detected measurements the filter is able to track maneuvering ground targets when the Signal to Interference + Noise Ratio (SINR) os between 6 and 9 dB.

Paper Details

Date Published: 13 July 2000
PDF: 11 pages
Proc. SPIE 4048, Signal and Data Processing of Small Targets 2000, (13 July 2000); doi: 10.1117/12.391983
Show Author Affiliations
Keith D. Kastella, Veridian Inc. (United States)
Chris M. Kreucher, Veridian Inc. (United States)
Michael A. Pagels, Veridian Inc. (United States)

Published in SPIE Proceedings Vol. 4048:
Signal and Data Processing of Small Targets 2000
Oliver E. Drummond, Editor(s)

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