Anti-Ship Missile Defense

Transcription

1 Anti-Ship Missile Defense A New Approach Using Unmanned Systems to Save Time and Cost to Field an Effective System : The Next Generation of Intelligent, Automated Systems

2 About Us Unique Systems Engineering and Development Capability A distillation of over $2B in government R&D Addresses both people and technology Partnered with OSD, JFCOM, Team Orlando, the 4 services, SRI, Academia, and others CTO created MDA s analysis and training systems infrastructure as a gov t employee Solved world-class/grand challenge problems on F-35, CVN-21, healthcare IT, etc. 2

3 Navy s Anti-Ship Missile Challenges Critical Battlespace defense gap Interactions happening faster than humans can react Current Command and Control (C2) is not real-time, performance limited, and the only source of information Greatly affects real-time response for kinetic engagement capabilities 3

4 Anti-Ship Missile Defense Space Sensor CIWS SB UAS DF-21 Chinese Anti- Ship Missile USV Increase Response time for Fleet Simplify Installation, Maintenance, & Operation DDG

5 Increase Fleet Defense Interoperability of UxVs Manned platforms Sensors Fleet weapons, greater defense in depth Integrate sensors on UxVs Network UxVs robotic engagement platforms various C4ISR, weapons & fire control systems Fully integrated and interoperable with fleet and joint C4ISR and fire control Fast, Flexible Response 5

6 Fleet s Need for Speed A different architectural paradigm and C2 systems a new real-time engine Need a Missile Defense System on steroids Both Offense and Defense Combine characteristics of Missile Defense and Cyberspace systems Hyperfast networked decisionmaking in a complex environment 6

7 Proposed Solution Phase I: High-Fidelity Virtual Analysis of Sensors, Shooters, and Network Combinations (4 months) Builds off novel approach to Modeling and Simulation (M&S) Used to meet stringent government metrics in F-35 Permits source code integration of M&S code from different paradigms Next step in the science of M&S reuse Phase II: Build the System(14 months) Use Phase I software in Design & Engineering, Validation/T&E Utilize existing infrastructure and chart a course forward Phase III: Fleet Integration & Optimization(3 months) 7

8 ASMD Threat Perimeter SUW Threat Monitoring Perimeter ASW Threat Identification Perimeter 18 nmi Sea Base Perimeter SUW Threat Identification Perimeter 8

9 ASMD Threat Perimeter SUW Threat Monitoring Perimeter ASW Threat Identification Perimeter Sea Base Perimeter SUW Threat Identification Perimeter 9

10 Cloud of Slugs Each USVs Gun Creates a Cloud 10

11 New Fleet Capabilities Automated Fleet Systems Adaptive & composable Knowledge built into systems Emphasizes speed and flexibility Ability to fuse new information, knowledge, and structures rapidly Mesh networks and systems Example: Sensor net that automatically refocuses based on accurate real time fused information C2 and fire control moves from Fleet platforms to Network 11

12 Previous Results Increased system speed factor is over 100x in apples to apples infrastructure Performed novel, unique artificial intelligence, development, integration, & interoperability projects Every project is a unique challenge that involves integrating an expert team to solve a time critical problem Vetted by OSD (P&R, AT&L, PAE, DDR&E) & JFCOM 12

13 Provides Solution for greater defense in depth quickly A flexible, forward looking Architecture Easily accommodate upgrades Fast integration New sensors, shooters, and networks Ready incorporation of current Naval and Joint C4ISR and fire control architecture(s) Realistic ability to rapidly assemble the team and go 13

14 Initial Questions What is the munition cloud size & density? How dense are munitions in cloud/second? How many clouds? What is the resulting launch vector for Bullet on Bullet? How many smaller systems with CWIS are needed? Cost of CWIS Sensor/Shooter Fusion Linkage Algorithm Out of perimeter which system engages Speed of maneuverability determines minimum CWIS Using Dirigibles what sensors may be employed for downward looking detection? Right Sensor mix for RF and/or EO/IR Increase Sensor/Shooter angles What is the smallest surface platform using the smallest amount of power necessary to operate a CWIS and what is the smallest speed/least maneuverable to complete mission? 14

15 Summary Creation of Fleet ASMD Network Complex, Realistic, & Scalable Semi-/Fully Autonomous UxVs Practical agile, networked systems Fleet C4ISR and Weapons Systems Adaptation & Evolution Require Funding to begin High Fidelity M & S (Phase I) Build, Integrate & Network Systems (Phase II) Integrate, Optimize & Train Fleet (Phase III) 8

16 Backup Slides 16

17 Technology Approach M&S of High Fidelity Virtual Simulation Weapons, Sensors & Network combinations Next-generation middleware Component activation and synchronization Integration & Interoperability Knowledge representation and reasoning Conceptual graphs Problem solving module integration Complex context representation with integrated reasoning & problem solving 17

18 IT Competitor Comparison IBM Sun Oracle BEA RedHat II Web-based SOA Stack Heterogeneous Data Source Support Semantic Web Integration Cloud Integration Analog to Digital Interface Support Legacy System Support Does Not Require Global Data Model Rapidly Adaptable to Change Two Day Learning Curve Automated Interoperability Assessment Sub-Microsecond Latency Hard Real-Time Performance Support 1M Active System Components Capability is Operational

19 LSI Competitor Comparison LM NG Boeing GD Raytheon II Integration Middleware/Dev Env Heterogeneous Data Source Support Semantic Web Integration Cloud Integration Analog to Digital Interface Support Legacy System Support Does Not Require Global Data Model Rapidly Adaptable to Change Two Day Learning Curve Automated Interoperability Assessment Sub-Microsecond Latency Hard Real-Time Performance Support 1M Active System Components Capability is Operational

20 MIW Adaptive Mesh ASW IBGWN FY07 Status of UV Sentry SUW 20 Omitted Anti-ship Missile Defense