A Particle Filtering Approach to Joint Passive Radar Tracking and Target Classification
Herman, Shawn Michael
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/80777
Description
Title
A Particle Filtering Approach to Joint Passive Radar Tracking and Target Classification
Author(s)
Herman, Shawn Michael
Issue Date
2002
Doctoral Committee Chair(s)
Moulin, Pierre
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Language
eng
Abstract
Thus, we believe that we are the first to provide a joint framework for tracking and classification that realizes the full potential of such an approach. Our joint formulation consists of three key developments: (1) an aerodynamically valid flight model that relies upon aircraft-specific coefficients such as the wing area and the minimum value of drag, (2) an electromagnetically correct model for RCS that yields information pertaining to both class identity and target orientation, and (3) a particle filter-based implementation that takes into account realistic difficulties caused by multiple targets, false alarms, and missed detections.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
