Unmanned Air Systems Issues and Challenges to C4I INCOSE San Diego
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1 PEOC4I.NAVY.MIL Program Executive Office Command, Control, Communications, Computers and Intelligence (PEO C4I) Unmanned Air Systems Issues and Challenges to C4I INCOSE San Diego 30 Oct 2010 CAPT John Robey Air Sea Integration (PMW 750) Information Dominance Anytime, Anywhere
2 CNO's Unifying Vision and Guiding Principles Vision - "Pioneer, field and employ game-changing capabilities to ensure Information Dominance over adversaries and Decision Superiority for commanders, operational forces and the nation" First Principles Include: Every platform is a sensor Every sensor is networked Build a little; test a lot Spiral development/acquisition Plug-n-play sensor payloads Reduce afloat/airborne manning Transition to remoted, automated Collectors dynamically tasked Emphasize UAS/RPV and autonomous platforms UAS's increasingly sea-based One operator controls multiple platforms Data discoverable and accessible Missions drive requirements Commonality in interfaces, data links and control stations Every shooter capable of using target data derived from any sensor 2
3 UAS Family of Systems DISTRIBUTION STATEMENT A: Approved for public release; Distribution is unlimited. #
4 BAMS UAS OV-1 Narrowband SATCOM Wideband SATCOM Global Positioning System UA Maritime Forces Teleport MOB MCS Airspace Control Authority EO/IR Radar, ESM & AIS FOB MCS Maritime Forces Joint Navy HQ(MOC)/ Allied/Coalition Battle Management Nodes BAMS Payload Data BAMS Air Vehicle C2 Defense Info System Network/Global Info Grid Airspace Communications Airborne Communications Relay BAMS UAS Nodes (UA, MOB/FOB MCS) Joint Allied/ Coalition Exploitation Sites DISTRIBUTION STATEMENT A: Approved for public release; Distribution is unlimited. #
5 Managing the Processing, Exploitation and Dissemination (PED) of Data BAMS UA Worldwide Sensor data from UA Wideband SATCOM Teleport Sensor data from UA CDL / Link-16 MPRA Main Operating Base (MOB) DCGS-N Afloat Nodes CSG/ESG GCCS-M, AIS, Chat, VoIP Mission Control System (MCS) DISA POP First Pass Analysis from MCS GIG SIPRNET Exploitation Sites DCGS-N Enterprise Node Sensor data to Exploitation Sites (e.g. NMIC, MOC/MIOCs, NGA, DCGS FoS, FIOC) DCGS Family of Systems (Air Force, Army, Marines, SOF, DCGS-IC) DISTRIBUTION STATEMENT A: Approved for public release; Distribution is unlimited. #
6 Exponential Data Growth: Enabler & Challenge! (From MIEA Study) Max of 50 Mbps per channel Theater Data Stream (2006): ~270 TB of NTM data / year Current single mode fiber carries 960 Gpbs Capability Gap FIRESCOUT VTUAV DATA UUVs GIG Data Capacity (Services, Transport & Storage) & Beyond MIEA Review 6
7 Navy Data Strategy Challenge (from PEO C4I ISR Data Study - MITRE) Data Transmission Decisions -Send all of it? -Compress it? -Stream it? -Just send a metadata synopsis? -Adjust Quality of Service? Collection Data Decisions -Should we collect? -Which sensors? -When/where to collect? -Where to process? -When to transmit? -Where to store? Enterprise/Cloud Data Decisions -Data center consolidation? -Degree of distributed processing? - Big Data storage and processing standards? -Time to live? -Data format standardization? Systems Data Decisions - Analyze it? - Mark it up (i.e., metadata)? -Store it? Where and for how long? Searchable? -Distribute it? How and which systems need it? -Which system becomes authoritative? -How to aggregate different results? -How to track provenance? Who has touched it? -Throw it out? Why collect it and send it to begin with? Tactical Data Decisions -Analyze it? Is Expertise available? -Store it? How long? Capacity? -Transmit it? How? Capacity? -Throw it out? -How to mark it up? Each decision is an opportunity to improve the end-to-end mission capability and streamline the OODA* Loop *Observe, Orient, Decide, Act (OODA) 7
8 Summary Proliferation of UASs (and their data) pose a significant challenge to Navy C4I architectures and TTPs Data Strategies and ISR CONOPS are immature Acquisition requirements and ownership of data processing, exploitation and dissemination (PED) are unclear Getting the right data to the right customer at the right time Manpower - who does what and where Bandwidth how much is enough, what needs to be sent and to whom Automation / Data Fusion turning data into information Disciplined Systems Engineering and requirements derivation across SYSCOMs and acquisition programs is critical 8
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