Nonlinear filtering for ground target applications

Keith D. Kastella; Chris M. Kreucher; Michael A. Pagels

doi:10.1117/12.391983

13 July 2000 Nonlinear filtering for ground target applications

Keith D. Kastella, Chris M. Kreucher, Michael A. Pagels

Proceedings Volume 4048, Signal and Data Processing of Small Targets 2000; (2000) https://doi.org/10.1117/12.391983
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

Keith D. Kastella, Chris M. Kreucher, and Michael A. Pagels "Nonlinear filtering for ground target applications", Proc. SPIE 4048, Signal and Data Processing of Small Targets 2000, (13 July 2000); https://doi.org/10.1117/12.391983

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