Michael C. Wicks PhD of University of Dayton

Talk 1: Advanced Sensor Concepts, Exploitation, Signal Processing and Systems Engineering

In this talk, a number of concepts and technologies forming the foundation for the exploitation of sensors from a Big Data perspective are presented. A signal processing and systems engineering approach is discussed, and heuristic techniques are presented as being critical to leap ahead advances in sensor exploitation.  While radar centric in nature, the foundation for a more general sensors approach to Big Data exploitation is discussed. Archival data is considered to be essential to the optimal exploitation of sensor phenomena, as humans are unable to fully observe or even comprehend the volumes of rapidly changing data available today. Topics as diverse as radio frequency tomography for below ground imaging, millimeter wave sensing for exquisite feature extraction, target resonance and dynamic imaging of targets obscured by clutter and cover, as well as space-time adaptive processing are presented. The integrating theme of Big Data exploitation is discussed within the context of these enabling sensor technologies as is the “Velocity of Sensor Data.”  

Talk 2: Knowledge Based Space-Time Adaptive Processing

This presentation discusses the development of space-time adaptive processing (STAP) technology for ground moving target indication (GMTI) applications.  Current GMTI systems, e.g. the E-8 Joint STARS, use non- adaptive displaced phase center antenna (DPCA) techniques. The Joint STARS platform has been very successful. So the question naturally arises, why is STAP needed for GMTI?

Biography:

Dr. Wicks is a leading research scientist in remote sensing, signal processing and systems engineering, with a current focus on distributed sensing and radio frequency technology. He has pursued a variety of research interests in his career, including: cognitive radar, radio frequency tomographic radar, counter explosive sensor technology, cognitive radar and radio, space object sensing, missile defense, deep earth probing radar, multi-dimensional adaptive processing for airborne and space based radar, ultra-wideband radio and radar, passive and active multi-static systems, and concealed weapons / contraband detection and carrier identification. He pioneered the concept of knowledge-based signal processing and waveform diversity, and has led national and international research teams on the design, development and fielding of novel algorithms, architectures and systems for remote sensing from space, air and surface platforms.

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Michael C. Wicks PhD of University of Dayton

Biography:

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