Michael Wicks

Michael Wicks, Mumma Radar Lab, University of Dayton
Dr. Michael Wicks

Current Position Information (as of 6 May):
Distinguished Research Engineer, University of Dayton Research Institute
Recent Position Information: Senior Scientist, Sensors Signal Processing, DV-6
Country of Citizenship: United States of America

M.A. Public Administration, 2000, Syracuse University, Syracuse NY, 13244
Ph.D. Electrical Engineering, 1995, Syracuse University, Syracuse NY, 13244
M.S. Electrical Engineering, 1985, Syracuse University, Syracuse, NY, 13244

A.S. Engineering Science, 1979, Mohawk Valley Community College, Utica, NY 13501

Work Experience:
University of Dayton 
Starting and Ending Dates: May 2011 to present
USAF Work Experience: 
Starting and Ending Dates: May 1981 to May 2011
Job Title: Senior Scientist (2002 – 2011), Acting Chief Scientist (Jan 2005 – July 2005, Oct 2010 to Feb 2011)
Previous Job Title:  Electronic Engineer 1981 - 2002
Employer’s Name and Address: Air Force Research Laboratory, Sensors Directorate
26 Electronic Parkway, Rome NY 13441-4514
Supervisors Name and Telephone Number: Mr. Wendell Banks (937) 528-8830

Recent Activities: 

Dr. Wicks was the US Air Force Senior Scientist for Sensors Signal Processing, specializing in the science and technology needed for superior air and space systems for intelligence, surveillance, reconnaissance (ISR), precision engagement, and electronic warfare.  His work involved developing and exploring concepts in signal processing algorithms for detection, discrimination, identification, track processing, and the control of distributed sensors, for advanced surface, air, and space systems.  His technical expertise encompasses detection and estimation theory, space-time adaptive processing (STAP), development of advanced concepts and mathematical analysis in systems engineering.  His research also includes cognitive radar, polarimetric signal processing, inverse synthetic aperture radar imaging, knowledge-base applications to radar signal processing, concealed weapons detection / through-the-wall surveillance, ground-penetrating radar (targets under cover), bistatic radar, distributed sensors and systems, integrated ISR, multi-sensor fusion, ultra-wideband radar, waveform diversity, and multi-disciplinary systems engineering, all leading to the development of fully adaptive radar.  He has supervised doctoral students in waveform diversity, STAP, and distributed sensing from the University College London, the University of Illinois, AFIT, and Syracuse University.  Additionally, he has mentored numerous technical staff members from industry, academia and government via his in-house research activities.  He has established and contributed to international teams to facilitate the development and insertion of new technologies into future and fielded sensor systems initiated through his sponsored NATO activity.

Dr. Wicks is a member of several professional societies including the IEEE.  In 1998, he was elevated to the grade of IEEE Fellow, one of only a handful of people to achieve that milestone before the age of 40.  He also received the IEEE Fred Nathanson Memorial Award for young Engineer of the Year in 1998.  In 2009, he was presented with the IEEE Warren D. White Award for Excellence in Radar Engineering.  He has also received many other awards.  As an internationally recognized expert in surveillance and radar signal processing, he is regularly invited to speak as a keynote/plenary at events worldwide; including the 2010 IEEE International Conference on Waveform Diversity and Design in Niagara Falls Canada, the IEEE 2010 Cognitive Information Processing Workshop in Elba Italy, the IET 2007 Waveform Diversity Workshop in London, UK, the IEEE 2003 International Radar Conference in Australia, the 1998 DSTL Radar Clutter Workshop in Adelaide Australia.  He has been a contributing author to three books: Principles of Waveform Diversity and Design (2010), Smart Antennas (2003), and Wavelet Applications in Engineering Electromagnetics (2002), and many book chapters.  He has been awarded 14 US patents in the areas of antennas, waveforms, radar systems and radar signal processing.  He has authored or co-authored over 300 papers and technical reports, including more than 50 refereed journal papers.  His published articles on Knowledge-Based Systems for Adaptive Radar in the IEEE Signal Processing Magazine in January 2006 were both among the top Downloads for IEEEXplore for that year.  An accurate measure of the scientific productivity and the impact of Dr. Wicks’ research is his h-index of 18.

Over his career, Dr. Wicks conceived of, conducted, supervised, and directed research in all aspects of radar signal processing.  Over two decades ago, he initiated research efforts investigating the potential for significant improvements in enterprise wide performance by bringing all sources of data/information/knowledge into the formulation of a comprehensive signal, image and data processing solution to the remote sensing problem from a radar centric perspective.  The sources being exploited in this technology development included passive and active radar, EO/IR sensors, exploitation of real time and archival information, including cultural and geographical data that characterize natural formations and man-made structures, census data, and dynamic population information.  Furthermore, this approach draws upon multi-intelligence sources, including cyber and communications, in order to formulate the best technical solutions to the integrated sensing problem.  More often than not, cues from cyber and communications will drive radar sensing modalities, but radar sensors also drive communications and cyber exploitation in this research.  This comprehensive approach builds upon his extensive research in Knowledge-Base STAP (KB-STAP), where he successfully merged algorithmic and heuristic signal and data processing into a new paradigm, one in which mathematical rigor was fully compatible with “intuition-base” decision making about key parameters and factors as in game theory.  His research in KB-STAP was foundational to the creation of a new signal processing architecture (DARPA-funded) that enables major weapons systems to perform multiple integrated ISR functions simultaneously and autonomously.

In support of fully adaptive radar, Dr. Wicks initiated a number of research areas, some of which were elaborated upon above, including integrated waveform diversity and STAP for full adaptivity on transmit and receive, and Sensors as Robots (his integrating ISR concept across distributed and heterogeneous sensor systems).  He extended waveform diversity and knowledge base control of algorithms to include geometric/geographical diversity (position and navigation control). The success of Sensors as Robots permits “action at a distance without human intervention,” even in difficult and dynamic environments.  The goal of this research was to develop a cost effective and extendable approach for providing integrated ISR for a variety of applications in dynamically changing military and civilian environments.  Fully adaptive radar is his architecture for integrating processing, exploitation, and dissemination (PED) of all source data automatically, driven by the need for absolute certainty before engaging, and all from a uniquely radar centric perspective. 

Key NATO RTO funded multinational activity
  1. NATO LS/SET 119, “Waveform Diversity and Design”, Shrivenham, UK; Naples, Italy; Hamburg, Germany; Paris, France; Lisbon, Portugal; Delft, Netherlands; Dayton, OH; Washington DC, USA; Huntsville, AL, USA; Ottawa, Canada; Helsinki, Finland; Kjeller, Norway; Linkoping, Sweden; author and Director.
  2. “Tomography of Moving Targets (TMT) for Security and Surveillance”, 2005 NATO ASI, 16-30 July 2005, Pisa, Italy.
  3. NATO LS/SET 233, “Knowledge Based Radar Signal and Data Processing with Applications to Radar”, Stockholm, Sweden; Budapest, Hungary; Rome, Italy; Madrid, Spain; Shrivenham, UK; Gdansk, Poland; Brno, Czech Republic; author and Co-Director.

Conference Plenary Session/Invited Speaker Presentation

  1. “Smart Antennas”, IDGA Military Antennas Event, 27-30 Sep 2010, Washington DC, keynote speaker.
  2. “Waveform Diversity: The Way Forward”, 5th International Waveform Diversity and Design Conference, Niagara Falls, Canada, 8-13 Aug 2010, keynote speaker.
  3. “Spectrum Crowding and Cognitive Radar”, Cognitive Information Processing Workshop, Elba Island, Italy, 14-16 June, 2010, keynote speaker.
  4. “The Use of Geometric Diversity for Spectral Dominance in Underground Imaging, 4th International Waveform Diversity and Design Conference, Orlando, FL, 8-13 Feb 2009.
  5. “Waveform Diversity in Intelligent Sensor Systems”, The Institution of Engineering and Technology Forum on Waveform Diversity and Design in Communications, Radar and Sonar, 22 Nov 2006, pp.1-6.
  6. “Tomography, Waveform Diversity and Intelligent Sensor Systems”, AOC 4th Multinational Passive Covert Radar Conference, 5-7 October, 2005, Syracuse, NY.
  7. “Ultra Narrow Band RF Tomography and Signal/Image Processing”, 34th Applied Imagery and Pattern Recognition Workshop (AIPR’05), Washington DC, 19-21 Oct 2005.
  8. “Radar the Next Generation – Sensors as Robots”, IEE/IEEE International conference on Radar 2003, 3-5 Sep 2003; Adelaide, Australia; plenary session paper, author.

AFRL Duties and Accomplishments: Served as nationally recognized authority, scientific and technical advisor for Radio Frequency sensor and radar system concepts and signal processing research as it applies to advanced ground, airborne and space‑based systems. In this position, Dr. Wicks was responsible for plans, managing, and directing sensors and signal/data processing research and development efforts through the conceptual, definition, and demonstration phases. Accomplished detailed technical analyses and provided technical direction, technology assessment, and technology risk reduction for technology demonstration efforts. Provided technical guidance and advisory services to Sensors Directorate, AFRL leadership, AF, DoD, other agencies and international groups. Evaluated and provided recommendations on major scientific and engineering plans and programs. Translates system needs into innovative and advanced technology development programs.

In his position as senior scientist, Dr. Wicks conducted, supervised and managed basic and applied research and development in sensors signal processing algorithm development and demonstration for a wide range of systems. In-house leader and manager of basic and applied research in signal processing algorithm development. Areas of interest include adaptive processing, knowledge base processing and control of algorithms/systems, sensor/data fusion, association/track processing, ultra wide band sensing, and implementation in various architectures. Responsible for initiating many technical programs in Sensor Signal Processing. Published over 300 papers, reports and patents in these areas while functioning as a team leader and mentor to government, academic and industrial staff on these projects. 

Number of Employees Supervised/Mentored: More than 50 civilian and military employees, Inter-governmental Personnel Act (IPA) temporary government employees and on-site contract employees as leader for signal processing algorithm development/demonstration. As a leader and mentor, Dr. Wicks tried to be inclusive by involving management as well as the technical staff in conducting research and in preparing and presenting technical proposals and papers.  As such, AFRL/RY signal processing research staff have an unprecedented number of presentations, papers, and publications as compared to other units of similar size, mission and budget under his leadership.

Other Qualifications:
Post doctoral graduate study: Continuing education graduate study at Syracuse University in Public Administration including: Organizational development, Managerial and executive leadership, Science, technology and public policy, Public influence of technology and innovation management, and National defense: military economics and cultural.  Instructors in Public Administration courses included Melvyn Livitsky – former US ambassador to Brazil, and Sean O’Keefe – former Secretary of the Navy, Deputy Director of the Office of Management and Budget and NASA Administrator. Training and systems engineering courses completed for certification Level III, USAF Acquisition Professional Development Program in System Planning, Research, Development, and Engineering.

Technical Leadership: Executive Organizing Chair of International Waveform Diversity and Design Conference since 2004; Organizer of Tri-Service Waveform Diversity Workshop in  2003 & 2004, Co-Organizer of IEEE Radar Conference, Organizer and Technical Program Chair 1997 IEEE National Radar Conference, Founding Member IEEE Mohawk Valley Section Signal Processing Chapter, Current and Past Chairman IEEE Radar Systems Panel 1999-2000, Sensors Council representative and Member of the IEEE AESS Board of Governors, Member TTCP, Sensors –Technical Panel 6.  Awards Chairman of the IEEE Mohawk Valley Section, and a member of the IEEE Fellows Selection Committee.

Recent Honors: Fellow of the IEEE for “Contributions to Adaptive Airborne Signal Processing”, Fellow of the Air Force Research Laboratory, 1999 Inductee - The State University of New York Alumni Honor Roll for Significant Contributions to Public Service, 2001 MVCC Alumni of the Year. 

Recent Awards: IEEE Warren D. White Award for Excellence in Radar Engineering in 2009; Selected as Waveform Diversity Person of the Year Award at the 2nd International Waveform Diversity & Design Conference, 2006; 2001 Alumni of the Year, Mohawk Valley Community College; Mohawk Valley Engineers Executive Council 1999 Engineer of the Year recipient; Sensors Directorate Best Patent of the Year Award in 1999; Co-recipient of the AFRL Sensors Directorate Brian Hendrickson Memorial Award in 1998; IEEE Fred Nathanson Memorial Award for the Young Engineer of the Year in 1998.  Recipient of Numerous Certificates of Merit, Scientific Achievement Awards, Patent Awards, Paper Awards and Performance Awards. Also received were several IEEE Mohawk Valley Section Certificates of Recognition and Appreciation for Valued Services and Contributions for: Organizing the IEEE 1997 National Radar Conference, for service on the IEEE Mohawk Valley Section’s IEEE Fellows Search Committee, as a Founding Member of the IEEE Mohawk Valley Section’s Signal Processing Society Chapter, and as 1999 Awards Chairman of the IEEE Mohawk Valley Section.
Certification: Level III, USAF Acquisition Professional Development Program in System Planning, Research, Development, and Engineering.
Membership in Professional Organizations: IEEE; Association of Old Crows

Technical Qualifications Statement:

Summary:  Dr. Wicks’ qualifications for the Sensors Signal Processing senior scientist stem, in part, from his leadership roles in the development of advanced algorithms such as the Knowledge Based Space Time Adaptive Processing (KB-STAP) technology described below.  In this and related efforts, advanced signal and data processing algorithms were used, in conjunction with map data to establish priority regions in the surveillance volume in conjunction with other information sources such as intelligence and reconnaissance data, as well as information from previous flights or other off-board sensors.  In addition to establishing surveillance volume priorities, determining detection and track confidence levels, and performing situation assessment, multi-sensor integration was used for enhanced detection processing and track formation considered essential to the successful development of KB-STAP. As a result of this research Dr. Wicks has been invited to speak nationally and internationally on many occasions on this technology.  DARPA embraced this sensor signal processing approach and established a major new program in the KB-STAP technology area.  Another area pioneered by Dr. Wicks demonstrates both the technical and managerial leadership qualities important to this position is Concealed Weapons Detection (CWD) Sensor Technology Development for Small Unit Operations/Law Enforcement.  As part of the CWD program, acoustic, electro-optic, infrared, millimeter wave and radio frequency sensors were designed, developed, tested and/or evaluated for use stand alone or as part of an integrated sensor suite.  The goal of this activity was to demonstrate remote sensing of concealed weapons on individuals in public places or hostile environments.  Numerous advanced signal processing algorithms emerged from this research.  Another basic research initiated by Dr. Wicks, Waveform Diversity, has resulted in new technology and customer interest nationwide.  The origins of this effort emerged from his concern over the potential exploitation of our own radar emissions by our adversaries via bistatics.  This concern resulted in the concept of waveform diversity and technology for the spatial denial of enemy bistatic radar receivers.  In addition to the spatial denial of bistatic receivers, problems arising from the loss of frequency allocation may also be addressed via Waveform Diversity.  Here, joint spatial/temporal waveform diversity concepts arise naturally.  For example, directional modulation permits signals of different bandwidths to be radiated in sequentially or even simultaneously in different directions.  As such, solutions to multi-mission/multi-mode radar and communications problems arise naturally.  Over the past several years, Dr. Wicks functioned as the scientific and technical leader, developing concepts, planning programs, building advocacy and establishing in-house groups capable of accomplishing the desired research.  These in-house groups consisted of government, industrial and academic personnel, the later funded through contracts, other agreements or Inter-governmental Personnel Act (IPA) assignments. 

Dr. Wicks’ current research includes the use of knowledge based methods for enhancing signal/data processing in sensors, radar and communications systems, and multi-sensor/multi-system integration for Layered Sensors.  He originated a number of signal processing research activities in that exploit expert systems and knowledge base control for adaptive processing, parameter estimation and prediction, sensor fusion, target detection, discrimination and identification, track initiation and track processing, waveform diversity, and tomography of moving targets. His research resulted in the first demonstration of knowledge based control of radar signal and data processing algorithms for sensors operating in dynamic time varying environments (Expert Systems CFAR Processor patented and published). This approach was extended to include the filtering stage of multi-channel adaptive radar in an approach called Knowledge Based STAP, which is described below.  Dr. Wicks also led research and development efforts in STAP algorithms for a number of different applications in the Department of Defense (DoD), and participated in studies on new trends in signal processing for radar and communication systems.

Specialized Experienced:
As a recognized Air Force expert in a number of signal/data processing technologies including systems analysis and design for weak target detection, space-time adaptive processing (STAP) for phased arrays, multichannel radar technology, multisensor/multisystem integration, knowledge-based processing applications to sensors, advanced constant false alarm rate (CFAR) detection processing, monostatic and bistatic clutter measurements, and wideband and ultra-wideband (UWB) radar technology, Dr. Wicks has a thorough understanding of the underlying technologies essential for sensors signal processing.  He initiated, conducted and directed efforts in advanced STAP algorithm development for both bistatic and monostatic radar applications including development of the NonHomogeneity Detector concept, essential to achieve the full performance potential offered by STAP (or any training data dependent adaptive filter). He also initiated the Multi-Channel Airborne Radar Measurement (MCARM) and the Bistatic MCARM programs in the Laboratory to collect data for STAP algorithm development and performance demonstration. He developed wideband and UWB radar signal and data processing techniques to improve detection/discrimination performance for over-resolved targets, and also invented UWB antennas, signal generation devices, receivers and clutter suppression techniques with the potential to significantly enhance the survivability and performance of advanced sensor systems.  He developed polarimetric UWB sensor concepts, antennas and signal processing algorithms for phenomenology investigations.
Dr. Wicks developed techniques offering significant improvements in the performance of airborne systems such as AWACS through applied research in the field of signal processing and he is the directorate lead and recognized expert in radar clutter modeling and analysis as pertaining to algorithm development, demonstration and performance evaluation.  He formulated our technology programs in clutter suppression in conjunction with digital beamforming experiments and developed calibration techniques for detailed target in clutter measurements.  He developed multi-domain algorithms for enhancing low observable target detection and was responsible for the evaluation, assessment, implementation, and transition of planning proposals for low observable target detection and tracking.  Dr. Wicks led a team as the inventor and principal investigator of Expert Systems CFAR, Knowledge Based STAP, the NonHomogeneity Detector (important to the successful fielding of STAP), the Post Doppler Sequential Beam Space Processor (for enhancing nadir clutter rejection/target detection performance in single channel airborne radars such as AWACS).  In each of these efforts, Dr. Wicks placed junior engineers in the lead position, in order to teach them about signal processing, radar, and systems engineering.  In order to avoid one-of-a-kind software developments in these programs, he brought in experts in software engineering who are cognizant of the current state-of-the-art in artificial intelligence software technology as part of the team.  This research on signal processing has been extended to include adaptivity on transmit. As such, the foundations for waveform diversity research at the Laboratory grew out of a through understanding of sensors signal processing, the current state-of-the-art in radar and communications, and the need for continued advancement.  As such, he formulated a common theme for extending the detection performance of a wide variety of new and existing sensors.  Dr. Wicks used these and other newly developed techniques as research projects to instruct and mentor junior staff engineers in sensor systems and signal processing, usually placing them in the lead positions to instill knowledge and confidence.  Most significantly, he was the first to integrate ranking and selection with classical statistical hypothesis testing to produce a new inferential statistics method. He formulated a team of in-house and academic researchers to investigate all aspects of these new methods which have broad applications for the analysis of sampled data from potentially diverse populations in a number of fields with a major impact on STAP based radar, sonar, and adaptive infrared sensors.  The application to economic data is already under investigation by colleagues and a co-investigator from the Syracuse University Mathematics Department. 
Wideband and Ultra-Wideband Radar.  Dr. Wicks contributed to the theory and practice of UWB radar and has many publications and patents in this area of research.  Topics addressed include antennas, photoconductive switching, and theory and techniques for waveform generation timing and control.  He was involved in wideband radar programs for developing technology to detect concealed objects and developed UWB antennas, devices, signal processing, and clutter suppression techniques as well.  He integrated polarimetric and UWB technology to produce new antennas, sensors system concepts, and signal processing algorithms and was responsible for the planning, initiation, and performance of a broad program in wideband radar technology involving both in-house and contractual efforts with participation from Air Force, Army and Navy laboratories.  His technical breadth and expertise made Dr. Wicks a directorate focal point for clutter suppression, signal processing, and antennas related to wideband and UWB radar.  Again, in this research an approach that paralleled the development of Expert Systems CFAR and Knowledge Based STAP was developed to process coherent channelized multiband data, thus permitting the use of proven processing technology while obtaining the benefits of UWB operation.
Small Unit Operations/Law Enforcement Sensor Technology Development.  Dr. Wicks was instrumental in bringing support from DARPA and the National Institute of Justice for programs in Concealed Weapons Detection (CWD) and wall penetration surveillance to AFRL.  Such sensors are designed to operate at short ranges (2 - 20 meters), exploiting the state-of-the-art in UWB radar, passive/active multi-channel millimeter wave imaging sensors, infrared cameras and passive/active magnetometers.  He initiated an in-house program in this research area, forming a team of principal and senior engineers which fostered the development of a National Law Enforcement and Corrections Technology Center (NLECTC) for the Northeast Region at the AFRL Rome Research Site.  The center supported the law enforcement and corrections communities as well as providing technology used by Special Operations Forces.  He contributed to these programs through a knowledge of sensors, signal processing, and multi-sensor integration resulting in several technology advances in this area of research.  In this area, he formulated the first multisensor/multisystem fusion concepts to integrate a number of diverse sensors to offer a more complete solution to the CWD problem.  As a part of his work in support of NLECTC, he advised the New York State Police on the use of technology for search and rescue in child abduction cases.

  1. “Generalized Inner Product Method and Apparatus for Improved Detection and Discrimination”, M. C. Wicks and Y. Zhang, U.S. Patent 7,916,068, 29 March 2011.
  2. “Method and Apparatus for a Frequency Diverse Array”, M. C. Wicks and P. Antonik, U.S. Patent Application No. 7,511,665 B2, 31 March 2009.
  3. “Frequency Diverse Array with Independent Modulation of Frequency, Amplitude, and Phase”, M. C. Wicks and P. Antonik, U.S. Patent Application No. 7,319,427 B2, 15 January 2008.
  4. “Waveform Diversity Methods for Spatial-Temporal Denial of Radar and Communications Systems”, M. C. Wicks, S. M. Bolen, R. D. Brown, U.S.  Patent 6,204,797, 20 March 2001.
  5. “The Polarization Diverse Phase Dispersionless Broadband Antenna”, P. Van Etten and M. C. Wicks, U.S. Patent Office SIR H0,001,913, 7 November 2000.
  6. “The Bi-Blade Century Bandwidth Antenna”, P. Van Etten and M. C. Wicks, U.S. Patent Office SIR H0,001,877, 3 October 2000.
  7.  “Apparatus and Method for Two Stage Hybrid Space-Time Adaptive Processing in Radar and Communication System”, T. Hale, R, Adve, M. Wicks, U.S. patent 6,252,540, 21 Dec 1999
  8.  “Adaptive Post-Doppler Sequential Beam Processor”, W. L. Melvin and M. C. Wicks, U.S. Patent 5,748,143, 5 May 1998.
  9. “Nonhomogeneity Detection Method and Apparatus for Improved Adaptive Signal Processing”, W. L. Melvin, M. C. Wicks, P. Chen, U.S. Patent 5,706,013, 1 January 1998.
  10. “An Unambiguous Range-Doppler Processing Method and System”, P. Van Etten and M. C. Wicks, U.S. Patent 5,657,022, 12 August 1997.
  11. “Expert System Constant False Alarm Rate (ES-CFAR) Processor”, M. C. Wicks, W. J. Baldygo, and R. D. Brown, U.S. Patent 5,499,030, 12 March 1996.
  12. “Ultra Wide-Band Radar Signal Processor for Electronically Scanned Arrays”, M. C. Wicks and R. D. Brown, U. S. Patent 5, 351, 053, 27 September 1994.
  13. “Hybrid Clutter Cancellation Method and Systems for Improved Radar Performance”, R. D. Brown, D. D. Weiner, and M. C. Wicks, U. S. Patent 5, 061, 934, 29 October 1991.
  14. “Orthogonally Polarized Quadraphase Electromagnetic Radiator”, M. C. Wicks and P. Van Etten, U.S. Patent 5,068,671, 26 November 1991.
  15. “The Mono-Blade Phase Dispersionless Antenna”, M. C. Wicks and P. Van Etten, U.S. Patent Application No. 841,376, 5 March 1986, Under Secrecy Order.

Michael C. Wicks’ pioneering signal processing techniques changed the face of modern radar engineering, enabling advanced air and space radar systems for intelligence, surveillance,and reconnaissance important tonational security. Micheal C. Wicks holds the medal,IEEE Dennis J. Picard Medal for Radar Technologies and Applications. An innovator of many new radar signal processing techniques,Dr. Wicks is most well known for development of knowledge-based space timeadaptive processing (STAP).STAP improves target detection in environments where interference such as clutter and jamming exists. To overcome the limitations of traditional STAP, Dr. Wicks developed algorithms that can incorporate “prior knowledge” such as digital terrain maps and real time and archival data to improve radarperformance. Successfully demonstrated with air-borne radar data during the 1990s, this approach has been further developed by the U.S. government and is finding its way into numerous real-world radars. Dr. Wicks has also been a driving force in waveform diversity, which has provided the foundation for fully adaptive radar. Waveform diversity extends adaptivity to the transmit signal, where it can be varied depending on the target and interference environment. He has also investigated problems in weak signal detection, distributed radar, and detection of targets that are covered or concealed. An IEEE Fellow and U.S. Air Force Research Laboratory Fellow, Dr. Wicks’ many honors include the 2009 IEEE Warren D. White Award for Excellence in Radar Engineering. Dr. Wicks retired From the U.S. Air Force in 2011 as senior scientist for sensors signal processing at the Air Force Research Laboratory, Rome, N.Y. He is currently a professor and the Ohio Scholar for Sensor Exploitation and Fusion at the University of Dayton, Ohio. Scope: For outstanding accomplishments in advancing the fields of radar technologies and their applications.

Technical Reports

  1. Sensors Technology and Advanced Signal Processing Concepts for Layered Warfare/layered Sensing, AFRL-RY-RS-TR-2010-100, April 2010, co-author.
  2. A Comprehensive Multidisciplinary Program for Space-Time Adaptive Processing (STAP), AFRL-SN-RSTN-2005-2, March 2005, co-author.
  3. KB-GLRT: Exploiting Knowledge of the Clutter Ridge in Airborne Radar, AFRL-SN-RS-TR-2004-258, December 2004, co-author.
  4. Novel Diverse Waveforms, AFRL-SN-RS-TR-2001-52, June 2001, co-author.
  5. Waveform Diversity, AFRL-RRS-TR-01, March 2001, co-author.
  6. Surveillance Technologies for AWACS Modernization, RL-TR-97-212, March 1998, co-author.
  7. Operations Other Than Warfare/Law Enforcement (OOTW/LE) Sensor Technology Study, RL TR-96-5, January 1996, co-author.
  8. Partitioning Procedure in Radar Signal Processing Problems, Final Report for Summer Faculty Research Program, Rome Laboratory, August 1995, co-author.
  9. Polarization Radar Processing Technology, RADC TR 89-144, October 1989, co-author.
  10. Clutter Considerations in Modern Radar Systems, RADC TR 88-252, October 1988, co-author.
  11. Performance Considerations of the SHARP Radar, RADC TR 88-231, September 1988, first author.
  12. Area MTI Evaluation Experiment, RADC TR 88-154, July 1988, first author.
  13. Century Bandwidth Dispersionless Antenna, RADC TR 88-177, July 1988, first author.
  14. Project Bird Watch at Dover AFB, RADC TR 84-7, May 1984, co-author.


  1. Principles of Waveform Diversity and Design Textbook, July 2010, SciTech Publishing, co-editor.
  2. Smart Antennas; May 6, 2003, Wiley-IEEE Press, co-author.
  3. “Wavelet Applications in Engineering Electromagnetics”, June 15, 2002, Artech House Publishers, Inc., Norwood MA, co-author.  


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Department of Electrical and Computer Engineering

Kettering Laboratories 251 
300 College Park 
Dayton, Ohio 45469 - 0232