Date of Award
2015
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical and Computer Engineering
Committee Chair
Laurie L. Joiner
Committee Member
Mervin Budge
Committee Member
David Pan
Subject(s)
Hypersonic aerodynamics, Hypersonic planes, Space vehicles--Atmospheric entry, Kalman filtering, Estimation theory
Abstract
This thesis presents the design of a missile defense system with a Converted Measurement Kalman filter (CMKF) for tracking a maneuvering, hypersonic reentry vehicle. The thesis focuses on the design process, including selecting radar system parameters that notably vary system performance, and implementing a 9-state CMKF to track the target. The radar parameters studied are beamsize, range resolution and track update rate and attention is paid to the development of the Kalman filter's Q matrix. Development of the mathematical relationship between these parameters and system performance is given. The target model is an adaptation of a model developed by Ashish Tewari in his book \textit{Atmospheric and Space Flight Dynamics}~\cite{Tewari}. The model is tailored to provide a simulated target that challenges the radar's ability to establish a stable target track. The goal of this thesis is twofold: first, to demonstrate that a CMKF can track this type of target and second, to illustrate the tradeoffs between radar/tracker parameters and system performance for a given target set (hypersonic, maneuvering vehicles).
Recommended Citation
Markow, John, "Analysis of a radar using a converted measurement Kalman filter to track a hypersonic reentry vehicle" (2015). Theses. 130.
https://louis.uah.edu/uah-theses/130