PM Sensors-Aerial Intelligence Enabling the Aerial Layer.

Transcription

1 PM Sensors-Aerial Intelligence Enabling the Aerial Layer. Aerial ISR Processing, Exploitation, Dissemination (PED) LTC Khoi Nguyen, PD Sensors-Aerial SIGINT 03/12/14 2SAI.1.01

2 Introduction Effort initiated due to MG Fogarty s vision for consolidated PED for all Aerial ISR assets PED site located at Ft. Gordon DCGS-A is the software baseline but implemented it using VMWare virtual client and server solutions. Supported BOG reduction requirement for contractors Additional PED analysts across multiple programs expected to be reduced OCONUS by end of CY13 Bandwidth and reliable COMMS dependant Reach timelines driven by SIPRNet accreditation in many cases 05/03/2013 PM SAI: Sensors Aerial Intelligence Enabling the Aerial Layer. 2

3 PdD Observe, Detect, Identify (ODI) Medium Altitude Reconnaissance Surveillance System (MARSS) Aerial Reconnaissance Support Team (ARST) Highlighter Constant Hawk - Afghanistan (CH-A) Tactical Operations (TACOP) LIDAR Multi-mission Aircraft to Support TFO-A Missions Based on Previously Fielded Systems: - GOTS SIGINT System - MX-15 EO/IR Sensor - Line Of Sight and Beyond Line Of Sight Communications Developed to Support ISR/RSTA Missions COMINT, Imagery, Special Sensors Communications (LOS, BLOS) VADER - Dismount Moving Target Indicator (DMTI) - Ground Moving Target Indicator (GMTI) - Synthetic Aperture Radar (SAR) Imagery Full Motion Video (FMV) Processing, Exploitation and Dissemination (PED) Video Archiving Capability Communications With Aircraft and Sensors (LOS, BLOS) Video Accessible to Supported Units Outside the ARST Via SIPRNET and ARST Servers Multiple Sites Supporting MARSS, Warrior Alpha, Hunter, Shadow, and Predator FMV Feeds Number of FMV Feeds Based on Site Requirements and Platform Availability Contractor: Radiance, GD-AIS (MAAS) Conduct Operations to Detect, Locate and Target IEDs in Order to Enhance Intelligence and Force Protection Battle Space Functions Major System Components: - C-12 Aircraft - Sensor Payload Hardware (Optical - Telescopes/ Cameras) - CLAW Workstation Change Detection Software - Ground and On-Board Imagery Analysts - INMARSAT - FMV Unique Capabilities: - Near Real-Time Reporting (INMARSAT/FBCB2) - Encrypted Imagery (TACLANE) - Trained Imagery Analyst (75% Former Mil IAs) - Staff to Coordinate/ Synchronize With Intelligence and Targeting Cycles Constant Hawk is a Persistent Stare, EO, Wide Area Field Of View Asset Used to Conduct Insurgent Pattern-of-Life Analyses and to Provide a Post Event Forensic Backtracking Capability for Major Incidents, Such as IED Attacks; Also Respond to Customer RFIs Within NAI Three Platform Equipped With EO/IR Sensor for Night Capability CH-A System is Based on the CH-Iraq System With Pressurized Aircraft (King Air 350 s) to Handle the Altitude, Terrain, and Other Conditions Hawker-Beech King Air 350 Aircraft With Extended Range Fuel Capability Improved JAUDIT LIDAR (TACOP) + EO + IR Sensors Housed in Existing CH-A Look-Down Gimbal Brings On-Board LIDAR Imagery Processing & Mini- TCDL Utilizes CH-A Aircraft Configuration With Addition of BLOS Ku SATCOM Expedites Schedule by Leveraging Existing Design, FAA & Army Certifications Provisions for Field Conversion to CH-A System Configuration and Uses Existing Infrastructure 1/23/13 33ARES.1.07 PM SAI: Sensors Aerial Intelligence Enabling the Aerial Layer. 3

4 CH/TACOP/VADER PED Architecture (Initial Deployment) CH-A TACOP VADER TACOP (LIDAR) Stand Alone QT Modeler Peregrine CH (AWAPSS) Stand Alone HDs shipped APIX SIPRNET Ground PED Site - TCDL 10.71Mbps Data (SAR, GMTI, DMTI, FMV, SIGINT) COMMS Path Network CH (AWAPSS) NGA SECNET NGA East CH (AWAPSS) NGA SECNET Area 59 05/03/2013 PM SAI: Sensors Aerial Intelligence Enabling the Aerial Layer. 4

5 CH/TACOP/VADER PED Architecture (Current) CH-A TACOP VADER TACOP (LIDAR) NGA GRID SIPRNET OGS CH (AWAPSS, MASIVS) CH (AWAPSS) NGA SECNET STL CH (AWAPSS) NGA SECNET JWAC FT Gordon PED (DCGS-A) QT Modeler MOVINT Legend Air Gapped Network NGA NCE (FT Belvoir) APIX APIX 05/03/2013 PM SAI: Sensors Aerial Intelligence Enabling the Aerial Layer. 5

6 DCGS-A Migration Plan Capabilities - WAAS (CH A, MASIVS); LIDAR (TACOP); VADER (VADER) Integration w/ DCGS-A through the DCGS-A Operational Ground Station (OGS) software baseline - New OGS software versions are delivered about twice a year - Delivering Gold Disk compliant software to OGS for integration and fielding. Will require PM SAI (after MAMI transition) to continue to provide guidance and direction for software development and testing prior to delivery to DCGS-A. - Server and client applications identified for host on a OGS/DCGS-A baseline WAAS - CHAMPS, raw data processing server will not be on DCGS-A baseline S/w & H/w hosted local to aircraft flight operations and maintained by PM SAI - Applications currently in OGS baseline LIDAR - LAM server integration w/ OGS; common baseline w/ location OCONUS/CONUS configs - Delivering LAM VMs with ATO to OGS - Applications currently in OGS baseline VADER and SA - and server applications currently hosted within DCGS-A baseline and hardware. 05/03/2013 7ODI.1.03 PM SAI: Sensors Aerial Intelligence Enabling the Aerial Layer. 6

7 Aerial Sensors PED Framework Three models for PED deployment Large Data Producer Leverage local Operational Ground Station (OGS) for data storage and hosting on SIPRNET Make Data discoverable via DCGS-A DIB Small Data Producer Utilize enterprise authoritative datastore such as NGA GRID and NGA WAPS database Transfer data files to datastore Near Real Time Utilize OGS data links for real time dissemination of data PM SAI: Sensors Aerial Intelligence Enabling the Aerial Layer. 7

8 Aerial Sensors PED Architecture Strategy Aircraft Common Server Sensor data processing/control of sensors Common Workstation Visualization/Control of sensors DCGS-A BAL OGS Local Data Storage AWAPSS, MASIVS Reach-In Thin capability? H264? Local data processing VMs If Needed CONUS PED locations Sensor data processing VMs Enterprise Data Storage Leverage authoritative enterprise datastores as much as possible MARS/RDOT (DMTI/GMTI), NGA GRID (LIDAR), SSG (SIGINT), NGA WAMI (AWAPSS/MASIVS) datastore, HSI? DCGS-A - All sensors data exploitation applications Sensor control applications - if feasible PM SAI: Sensors Aerial Intelligence Enabling the Aerial Layer. 8

9 Aerial Sensors PED Architecture SIPRNET Local CH Datastore (AWAPSS /MASIVS) OGS CONUS PED (DCGS-A) Sensor data Processing VMs NGA GRID (LIDAR) Sensor data Processing VMs Single SIGINT Datastore (NSANET) NGA WAMI (AWAPSS/ MASIVS) MARS/RDOT (VADER) QT Modeler MOVINT APIX 05/03/2013 PM SAI: Sensors Aerial Intelligence Enabling the Aerial Layer. 9

10 QUESTIONS? PM SAI: Sensors Aerial Intelligence Enabling the Aerial Layer. 10

11 END PM SAI: Sensors Aerial Intelligence Enabling the Aerial Layer. 11