Signal and Image Processing Systems

1. Presentation to ACGSCMeeting #102Niagara Falls, NYOctober 15-17, 2008Dr. Raman K. MehraScientific Systems Co., Inc.500 W. Cummings ParkSuite 3000, Woburn, MA 01801rkm@ssci.com, (781) 933-5355

2. Execution Framework SSCI integrates best-of-breed internal & external technologies to provide intelligent, adaptive, and robust solutions tailored to our clients’ specific requirements and applications. Scientific Systems Focus Technical Expertise: Academic / FFRDC partners Intelligent and Autonomous Control Systems Information and Communications Systems Signal and Image Processing Systems Fusion, Tracking, and Sensor Management Consultants / industrial partners Systems Integration Application Expertise Prime Contractors / Partners Business Areas: ISR Information Exploitation Unmanned Vehicle Autonomy Air / Space Vehicle GNC Network Security Missile Tracking / Interception ASW Underwater Surveillance Aerospace / Defense Clients

3. The ‘Net-Centric Processing Chain’ 2 Sensor Exploitation Convert sensor data into information. 1 Raw Sensor Data Collect raw data. • Enabling Capabilities • Knowledge Representation / Data Management • Networking/Communications • Human Machine Interfaces 3 Fuse / Track Combine information from multiple sensors and ID/ track patterns. 5 Autonomy / Control Execute the decisions and direct assets / sensors accordingly. 4 Decision Support / Battle Management Provide SA to enable the system / user to make a decision.

4. Sensor-to-Shooter Image Exploitation Chain Sensor Management Performance Evaluation Damage Assessment Shooter Action / Decision Image Enhancement Sensor Detection Recognition Tracking Fusion Image Enhancement Sensor Detection Recognition Tracking Image Enhancement Sensor Detection Recognition Tracking

5. Summary Descriptions of Transition Ready Technologies • Cruise Missile Autonomous Routing System (CMARS) • Vision-Based Navigation and Targeting Solution (VBNT) for Unmanned Aircraft Systems • Collaborative Networked Autonomous Vehicles (CNAV) • Collaborative Autonomy for UAVs • Adaptive Damage and Fault Tolerant Control (DFTC) for Aerial Vehicles • Group Tracker/TARDENT • Geo-Location of RF Emitters

6. NAVAIR SBIR Technology – CMARS • Tomahawk Cruise Missile (PMA-281) • Autonomous Route Planning (CMARS) • Uses Genetic Algorithms to identify Global Optimum Routes based on terrain, threats, navigation, and missile constraints • Dramatically reduces mission-planning time / cost and missile attrition rates • Going live on Tomahawk platform in Fall ‘08 • O&M contract in-place for on-going support / enhancements under Boeing SW standards Phase III Development / Insertion Phase II PrototypeDemonstration PhaseI R&D 1999 2000 2004 2007

7. NAVAIR SBIR Technology – ImageNav • Tomahawk Cruise Missile (PMA-281) • Motion Imagery Navigation (ImageNav) • Provides robust, low-cost navigation and precision targeting for air vehicles in GPS-denied operations. • Uses multiple overlapping images of terrain from on-board sensors to generate elevations to match against onboard terrain data-base. • Software-only architecture dramatically lowers development costs and enables retrofitting. • Phase III funding secured to mature technology for Tomahawk transition. Overlapping terrain images collected with onboard sensors Stereo Baseline Flight Path Compute elevations to matched points Phase III Development / Insertion Phase II PrototypeDemonstration Terrain Map Correlation PhaseI R&D Stereo-Generated DEM Reference DEM (Onboard DTED) Position Estimate 2003 2005 2007 2009

8. ARDEC SBIR Technology – RF Transmitter Geo-Location • Geo-Location of RF Transmitters for Counter-IED • Provides rapid, robust, tactical geo-location of RF transmitters in urban environments (~ 50m accuracy in less than 5 minutes) for Counter-IED ops, surveillance, and capture of HVT’s. • Effectively distinguishes between multiple transmitters on the same frequency band. • One-man portable package based on COTS receiver, GPS-sensor, and laptop computer. • Using 2-3 networked receivers, system can locate transmitters in ~ 2 minutes and track moving targets. Phase III Development / Insertion Phase II PrototypeDemonstration PhaseI R&D 2005 2006 2008 2010

9. Army Night Vision SBIR Technology – Automatic Mine Detection • ATR for Army’s Next Generation • Mine Detection Systems • Recognized by Army as an SBIR success story • Software currently used by CyTerra on hand-held detection systems fielded in Iraq / Afganistan • Adaptable on the field and in real-time • Flexible for various target detection problems Product Development Humanitarian System Advanced R+D Army SBIRs Vehicle System Handheld System 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

10. Unmanned Vehicles – Capabilities Overview Tactical Decision Aid Key Capabilities at TRL 6+ Mission Planner / Ground Control Station Emerging Capabilities Communication Links Node Level Unmanned Vehicle Controller (n) Node Level Unmanned Vehicle Controller (2) Node Level Unmanned Vehicle Controller (1) Path Planning Collision Avoidance System Target Geolocation / Weapon Assignment Communications /Network Manager Multi-VehicleCollaboration Autonomy System(Mode Commander) InformationExploitation System Mission Replanner Sensor Manager NavigationSystem Failure & ContingencyManagement System

11. Intelligent & Autonomous ControlCurrent Projects • Project Title: “Autonomous Formation Flying Control Technology (AFF-CT)” • Agency/Type: Army Research Office Phase II STTR with UC Berkeley & Sikorsky • PoP: March 2009 • Project Title: “Integrated Damage Adaptive Control System (IDACS)” • Agency/Type: NASA Langley Research Center Phase II SBIR • PoP: June 2009 • Project Title: “Distributed Formation State Estimation Algorithms under Resource & Multi-Tasking Constraints” • Agency/Type: NASA Jet Propulsion Laboratory Phase II SBIR • PoP: December 2009

12. Recent Projects • Project Title: “Integrated Reconfigurable Aero-Propulsion (IRAP) Control Technology for Commercial Aircraft” • Agency/Type: NASA Ames Research Center Phase I SBIR • PoP: December 2008-July 2009 • Project Title: “Collaborative Mission Planning & Autonomous Control Technology (CoMPACT)” • Funding Sources: Navy, DARPA, IRAD

13. Autonomous Formation Flying Control Technology • Objective: To lower pilots’ load by designing an effective control technology for heterogeneous formations of manned helicopters • Accomplishments: • Designed Autonomous Formation Flying Control Technology (AFF-CT) algorithms and techniques • Tested the AFF-CT through medium and high-fidelity simulations in RIPTIDE • Remaining tasks: • Piloted simulations testing at Sikorsky (SSCI) • Flight testing using small-scale helicopters (UCB)

14. Integrated Damage Adaptive Control System (IDACS) • Objective: To design an efficient system that can accommodate in-flight damage caused by ManPADS • Accomplishments: • Designed an efficient Model Set Reduction technique • Designed damage-adaptive flight control algorithms for an aero-servo-elastic model of aircraft dynamics • Evaluated performance of IDACS on a medium-fidelity simulation of F/A-18 aircraft dynamics • Remaining Tasks: • Acquire a simulation of a Generic Transport Model from NASA that includes the effects of wing damage • Evaluate the performance of the IDACS

15. Distributed Formation State Estimation Algorithms under Resource & Multi-Tasking Constraints • Objective: To design Anytime Kalman Filter (AKF), i.e. state estimators for spacecraft formations that can achieve effective measurement selection under CPU preemption, and efficiently use out-of-sequence measurements to arrive at optimal state estimates • Accomplishments: • Problems of optimal measurement selection and the use of out-of-sequence measurements have been formulated in analytic terms, and some promising initial results have been obtained • Remaining Tasks: • Complete the analytic developments and implement the Anytime Kalman Filter (AKF) on a high fidelity multi-spacecraft simulation at JPL

16. Integrated Reconfigurable Aero-Propulsion (IRAP) Control Technology for Commercial Aircraft • Objective: To develop adaptive fault-tolerant flight control algorithms integrating dynamics of fast aero surfaces with slow engine dynamics • Accomplishments: • Developed a new adaptive control technique for controlling the plants with actuators operating on different time scales • Developed a stable adaptive algorithm for propulsion only control of F/A-18 aircraft • Evaluated the performance of IRAP system on medium-fidelity simulation of F/A-18 aircraft dynamics

17. Collaborative Mission Planning & Autonomous Control Technology (CoMPACT) • Objective: To develop Collaborative Mission Planning & Autonomous Control Technology (CoMPACT) that integrates autonomous assignment, task execution and real-time mission re-planning for multiple UAV operating in dynamically varying environments • Accomplishments: • Developed the CoMPACT technology that includes fully autonomous vehicle-to-task assignment, task execution and mission re-planning algorithms for UAVs carrying out ISR & Strike missions under pop-up threats and collision avoidance constraints • Evaluated the performance of the CoMPACT system on a medium-fidelity simulation of an ISR & Strike mission with 8 UAVs servicing a large number of targets in the presence of pop-up threats

18. CoMPACT System

19. Fusion, Tracking, and Sensor Management GroupCurrent Projects • 1432: “Dynamic Sensor Management of Dispersed and Disparate • EO/IR Sensors”, AFRL/RVBYB SBIR Phase II • 1458: “Ballistic Debris Coherent Discrimination & Modeling” • MDA SBIR Phase II • 1463: “Optimal Joint Search and Sensor Management” • AFRL/VSSV SBIR Phase II • 1467: “Evaluation of Microchip Atom Interferometer Design for • Precision Inertial Navigation Systems”, AFOSR/NE STTR Phase II