Autonomy Technology Research Center Collaboration with Air Force Research Laboratory Sensors Directorate and Wright State University

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1 I n t e g r i t y - S e r v i c e - E x c e l l e n c e Autonomy Technology Research Center Collaboration with Air Force Research Laboratory Sensors Directorate and Wright State University

2 AFRL Sensors Directorate Mission Lead the discovery and development of future capabilities providing integrated Intelligence, Surveillance, and Reconnaissance (ISR), combat identification, and spectrum warfare effects Vision Enable ubiquitous Situation Awareness and Spectrum Dominance for Global Vigilance, Reach, and Power DISTRIBUTION STATEMENT A: 88ABW Approved for public release; distribution is unlimited.

3 AFRL Sensors Directorate Core Technical Competencies Radio Frequency (RF) Sensing Electro-Optical (EO) Sensing Spectrum Warfare Trusted and Resilient Mission Systems Multi-Domain Sensing Autonomy Enabling Sensor Devices and Components 3

4 Mentor-driven student research Autonomy Technology Research Center Predominately Graduate Students but suitably prepared undergraduate and high school students are also included Engineering (predominately electrical), Physics, Mathematics, Computer Science, Statistics Air Force relevant research

5 Autonomy Technology 14 week summer intern program Research Center Competitive pay, Free housing, Travel to and from Dayton OH, Use of WSU facilities Predominantly held at Wright State and possibly WPAFB depending on facility requirements Seminars, tours, extra-curricular activities (e.g., amusement parks, canoeing, tubing, and hiking, local events such as Celtic Fest and Dayton Air Show)

6 2017 ATR Center Project s Scope Sensor Exploitation Synthetic Aperture Radar, InfraRed, Electro-Optical, 3D laser, hyperspectral, Ground Moving Target Indication, Multiple Input Multiple Output radar, bi-multi-static radar, over the horizon radar, vibrometry, Electronic Warfare Algorithms Deep learning (transfer learning, Generative Adversarial Network s, auto-encoders, other flavors), Space Time Adaptive Processing, sparsity-based, search Functions / Tools Detection, tracking, ID, geolocation, detect-track avoidance, EW/Radar blend, estimation, phenomenology, simulation, synthetic data, CAD models, data bases

7 2017 ATR Center University Participants 7

8 2017 ATR Center University Participants Anderson University Arizona State University Binghampton College Brigham Young University California Institute of Technology Case Western Reserve University City University of New York Colorado State University Cornell University Georgia Institute of Technology Illinois Wesleyan University Louisiana Tech. University Massachusetts Institute of Technology Miami University OH Mississippi State University Montana State University Ohio Northern University Ohio University Purdue University Rensselaer Polytechnic Institute Rochester Institute of Technology Rose Hulman University San Diego State University Texas A&M University The Ohio State University UCLA University of Alabama Huntsville University of Cincinnati University of Dayton University of Florida University of Illinois University of Kansas University of Louisville University of Massachusetts University of Michigan University of Oklohoma University of Pennsylvania University of Wyoming Wake Forest University Washington State University Washington University St. Louis West Virginia University Wright State University 8

9 2017 ATR Center University Conferences 9

10 Example Future Project Areas Deep Learning/Machine Learning Generative Adversarial Networks (GANs) Blended Synthetic/Measured Training Data for Machine Learning Signal Processing Performance Modeling Behavior, Pattern of Life Exploitation Synthetic Data Generation and Development Multi-Sensor Detection, Tracking, Identification, 3D Reconstruction Image Registration Sparse and Low Rank Regularization Joint Synthetic Aperture Radar (SAR) Image Formation and Feature Extraction SAR/Synthetic Aperture Ladar Fusion Multi-Sensor Feature Analysis 10

11 Example Future Project Areas (cont.) Electro-Optical (EO)/Infrared (IR) Image Formation and Registration Ladar System Test and Evaluation Low-cost EO/IR Sensor Prototyping Wide Angle Signature Analysis Multi-Mode Sensor Fusion Signal Processing for Vibration Sensing Laser Vibrometry Narrow Band Imaging Comprehensive Sensing Multiple-Input, Multi-Output (MIMO) Radar Bistatic and Passive Radar Space and Time Adaptive Processing Adaptive Radar Signal Processing 11

12 Example Future Project Areas (cont.) Highly Integrated Microsystems Electronic Devices- EO/IR Component Technologies Computational Electromagnetics Conformal Antenna Design, Fabrication and Test Multi-Mode Radar Waveform Design Complex Radio Frequency Signal Processing Ultra-Sensitive Radio Frequency Receivers Quantum Electromagnetic Direction Finding Sensors Malware Detection in Embedded Operating Systems Bio-inspired Defenses to Malware on an Operating System Navigation in GPS Denied Environments Geolocation of Signals Test and Evaluation of Adaptive Systems 12

13 Autonomy Technology Research Center Experience cutting edge research with Air Force Research Laboratory Mentors Competitive Pay Housing and Travel is paid for Not just work tours, seminars, short courses as required, extra-curricular activities 13

14 How to Apply PLEASE SEND YOUR RESUME AND UNOFFICIAL TRANSCRIPT TO THE ADDRESS BELOW BY FEBRUARY 10 TH, 2018 FOR CONSIDERATION AND THE BEST POSSIBLE MATCH WITH A MENTOR. INCLUDE RELEVANT COURSE WORK, PRIOR AND CURRENT PROJECTS, TECHNICAL WORK EXPERIENCE AND TECHNICAL AREA OF INTEREST. IF YOU HAVE PRIOR ATR CENTER EXPERIENCE OR WOULD LIKE TO WORK WITH A PARTICULAR GOVT. MENTOR PLEASE LET US KNOW. atrcintern@wright.edu If you have other concerns or questions please contact: Dr. Robert Myers, (937) robert.a.myers@wright.edu Dr. Fred Garber, (937) fred.garber@wright.edu 14

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16 BACKUP 16

17 Radio Frequency (RF) Sensing Technical Challenges Distributed SAR in Denied Environments (DSIDE) Gotcha Spiral-2 Radar Passive RF sensing for congested and contested environments Persistent RF sensing in contested, high clutter environments Bistatic and multistatic sensing scenarios Exploiting and countering diverse RF waveforms Open architecture RF systems to enable rapid technology insertion Low C-SWAP RF systems Signal Location in Complex Environments 17

18 Electro-Optical Sensing Technical Challenges Hyperspectral Imaging Vibrometry Ladar Increasing the effective imaging range of Global Hawk / U-2 without affecting SWaP Hunt for hard targets using full spectrum stand-off hyperspectral imaging Insertion of 3-D ladar and laser vibrometry into targeting and reconnaissance systems Sub-diffraction-limited resolution using synthetic aperture and digital holography techniques Electro-optical search, track, and ID for air-to-air combat in radar denied 3-D Ladar 18

19 Spectrum Warfare Technical Challenges Seal Delivery Vehicle (Submerged) Cognitive EW Vehicle (In the Clear) jammer Urban (Structures) All Source Positioning and Navigation (ASPN) Identification and reaction to threat systems that exploit multi-spectral sensing and advances in digital signal processing and computer processor speeds Sense, learn, and adapt to dynamic electromagnetic environment Deliver full spectrum (EO/IR, RF) effects across disparate, heterogeneous payloads to assure aircraft survivability (mission assurance) Assure PNT availability when/where needed Virtual Combat Lab (VCL) Analysis, Modeling, & Simulation 24

20 Trusted and Resilient Mission Systems Technology Challenges Open Mission Systems Costly and long system composition and technology integration cycle Lack of common and well understood open avionics and system of system strategies and processes Immature or non-existent cyber-attack mitigation technologies Immature and non-validated protection technologies needed to fight through cyber attacks Limited and unreliable access to the most capable and state of the art trusted electronics for next-gen weapons Incomplete and fragile shielding from unauthorized disclosure of critical information 20

21 Multi-Domain Sensing Autonomy Technical Challenges Detection, tracking and recognition over large, denied, highly cluttered areas Adaptation to target and environment variability Knowledge construction from multi-domain sources Autonomous operation optimal use of sensing, processing, and communications Performance understanding to support multi-sensor integration 27

22 Enabling Devices and Components Technical Challenges Flexible GaN Modular RF Tiles Hot IR Detectors Low SWAP / Integrated EO/IR Components Inability to fully exploit the manipulation of materials at the atomic scale for enhanced device performance Costly, bulky and power-hungry components not suited for next-generation highly-integrated and adaptable RF sensing, EO sensing, and spectrum warfare systems Complex trade space for performance, size, power consumption, affordability and cost imposition Slow adoption of modular and scalable open systems Reconfigurable RF 29