Date of Award
Doctor of Philosophy (PhD)
Department of Electrical and Computer Engineering
Donald R. Kitchen, PhD
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.
DTIC Accession Number
Gisselquist, Daniel E., "A Linear Subspace Approach to Burst Communication Signal Processing" (2004). Theses and Dissertations. 3897.