Date of Award
6-2004
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Department of Electrical and Computer Engineering
First Advisor
Michael J. Havrilla, PhD
Abstract
The goal of this research is to develop algorithms that recognize targets by exploiting properties in the late-time resonance induced by ultra-wide band radar signals. A new variant of the Matrix Pencil Method algorithm is developed that identifies complex resonant frequencies present in the scattered signal. Kalman filters are developed to represent the dynamics of the signals scattered from several target types. The Multiple Model Adaptive Estimation algorithm uses the Kalman filters to recognize targets. The target recognition algorithm is shown to be successful in the presence of noise. The performance of the new algorithms is compared to that of previously published algorithms.
AFIT Designator
AFIT-DS-ENG-04-04
DTIC Accession Number
ADA425348
Recommended Citation
Pascoe, Kenneth J., "Target Recognition Using Late-Time Returns from Ultra-Wideband, Short-Pulse Radar" (2004). Theses and Dissertations. 3898.
https://scholar.afit.edu/etd/3898