Date of Award
3-12-2004
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Department of Electrical and Computer Engineering
First Advisor
Donald R. Kitchen, PhD
Abstract
This dissertation focuses on the topic of burst signal communications in a high interference environment. It derives new signal processing algorithms from a mathematical linear subspace approach instead of the common stationary or cyclostationary approach. The research developed new algorithms that have well-known optimality criteria associated with them. The investigation demonstrated a unique class of multisensor filters having a lower mean square error than all other known filters, a maximum likelihood time difference of arrival estimator that outperformed previously optimal estimators, and a signal presence detector having a selectivity unparalleled in burst interference environments. It was further shown that these improvements resulted in a greater ability to communicate, to locate electronic transmitters, and to mitigate the effects of a growing interference environment.
AFIT Designator
AFIT-DS-ENG-04-02
DTIC Accession Number
ADA423141
Recommended Citation
Gisselquist, Daniel E., "A Linear Subspace Approach to Burst Communication Signal Processing" (2004). Theses and Dissertations. 3897.
https://scholar.afit.edu/etd/3897