Date of Award


Document Type


Degree Name

Master of Science


Department of Electrical and Computer Engineering

First Advisor

Michael A. Temple, PhD.


As Noise Technology Radar (NTR) systems emerge, there is a need for non-cooperative, non-matched filter detection and exploitation. This work is based on that need and AFIT's Noise Network (NoNET) radar system. These signals are associated with Low Probability of Detection/ Intercept (LPD/LPI) signals. Quadrature Mirror Filter Banks (QMFB) has been effectively used for non-cooperatively detecting structured LPD/LPI signals and extracting various waveform characteristics. However, the QMFB process performance with unstructured NTR signals was challenging and motivated a need for a transformed QMFB. This transform was based on AFIT research by Gronholz and Mims (G-M), who used a multi-channel receiver containing a bank of Narrowband contiguous filters that span the Ultra Wideband signal bandwidth. Given common LPD/LPI characteristics of UWB and NTR signals, the G-M transformed QMFB with NTR signals proved to be as effective as: 1) For as collected unstructured NTR signals, there was minimal discernible difference between NTROFF and NTRON conditions, and detection was very challenging, and 2) For synthesized structured NTR signals, there were distinct differences between NTROFF and NTRON conditions with detection occurring through visually-observed features that corresponded to the induced phase features. Overall, the research goal was met-the resultant G-M transformed QMFB is useful for both NTR development (desire to maximize LPD/LPI potential) and exploitation (desire to minimize LPD/LPI potential) research.

AFIT Designator


DTIC Accession Number