Ai F E l ti t O A i i Air Force Evolution to Open Avionics
- HPEC 2010 Workshop -
Robert Bond
16 September 2010
MIT Lincoln Laboratory
Avionics for HPEC 1 16 September 2010
Ai F Air Force Evolution to Open Avionics E l ti t O A i i - - - PowerPoint PPT Presentation
Ai F Air Force Evolution to Open Avionics E l ti t O A i i - HPEC 2010 Workshop - Robert Bond 16 September 2010 MIT Lincoln Laboratory Avionics for HPEC 1 16 September 2010 Outline Open Architecture Vision for the Air Force
MIT Lincoln Laboratory
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MIT Lincoln Laboratory
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VISION: Air Force is developing an integrated (but loosely coupled) open-systems VISION: Air Force is developing an integrated (but loosely coupled) open-systems MIT Lincoln Laboratory
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architectures spanning Air Force layered system-of-systems architectures spanning Air Force layered system-of-systems
Open Sensors p VISION: Air Force is developing an integrated (but loosely coupled) open-systems VISION: Air Force is developing an integrated (but loosely coupled) open-systems MIT Lincoln Laboratory
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architectures spanning Air Force layered system-of-systems architectures spanning Air Force layered system-of-systems
Open Sensors p Open Avionics Open Avionics VISION: Air Force is developing an integrated (but loosely coupled) open-systems VISION: Air Force is developing an integrated (but loosely coupled) open-systems MIT Lincoln Laboratory
Avionics for HPEC 5 16 September 2010
architectures spanning Air Force layered system-of-systems architectures spanning Air Force layered system-of-systems
Open Sensors p Open Avionics Open Avionics Net-Centric Systems VISION: Air Force is developing an integrated (but loosely coupled) open-systems VISION: Air Force is developing an integrated (but loosely coupled) open-systems MIT Lincoln Laboratory
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architectures spanning Air Force layered system-of-systems architectures spanning Air Force layered system-of-systems
Embedded System Distributed System Networked System-of-Systems Component Airborne Radar Avionics Ground Station GIG Attribute Throughput ~ 1 TOPS ~ 10 GFLOPS ~1s GFLOPS < 1 GFLOPS Form-factor 10s MFLOPS/W > 100 MFLOPS/W 10 GOPS/W 10s MFLOPS/W Data Rate ~500 GB/s ~ 100 GB/s ~ 10GB/s < 10GB/s Latency > secs ~ secs ~ 100 mSecs ~ mSecs N t th t b dd d ilit t h h ll th t t th t N t th t b dd d ilit t h h ll th t t th t MIT Lincoln Laboratory
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Note that embedded military systems have challenges that set them apart from distributed and networked systems, but… Note that embedded military systems have challenges that set them apart from distributed and networked systems, but…
Embedded System Distributed System Networked System-of-Systems System Airborne Radar Avionics Ground Station GIG Attribute Application Complexity 100s modules ~100s functions ~10s modes 100s Programs # Components <10 subsys 10s subsys 100s subsys 1000s nodes Dynamic topologies Configurability topologies, users, content/use User select redundancy Static (design) databases b t t Data Complexity web content (semantic) databases structures arrays distributed and networked military system have their own set of challenges that set distributed and networked military system have their own set of challenges that set MIT Lincoln Laboratory
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…distributed and networked military system have their own set of challenges that set them apart from embedded systems; and avionics have elements of both domains. …distributed and networked military system have their own set of challenges that set them apart from embedded systems; and avionics have elements of both domains.
Embedded System Distributed System Networked System-of-Systems
Performance (Low Latency)
Airborne Radar Avionics Ground Station GIG Hardware Computation Hardware VLSI, FPGA, DSP, multicomputers workstations, servers, clusters
cialization generality
Computation Middleware
spec
SAL, VSIPL, PVTOL, RT-CORBA Libraries, CORBA, SOA, NCES
g
Communication Hardware FPDP, VME, Myrinet, RapidIO IP based: Infiniband, GigE, WWW Communication Middleware DDS, CORBA, JMS, HTTP, SOAP SMM, (RT)-MPI, RT-CORBA,DDS MIT Lincoln Laboratory
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SOA = Service Oriented Architecture OSA = Open System Architecture
Domain specific technologies support open architectures in the two domains Domain specific technologies support open architectures in the two domains
Embedded System Distributed System Networked System-of-Systems
Performance (Low Latency)
Airborne Radar Avionics Ground Station GIG Hardware Computation Hardware VLSI, FPGA, DSP, multicomputers workstations, servers, clusters
cialization
generality
Computation Middleware
spec
SAL, VSIPL, PVTOL, RT-CORBA Libraries, CORBA, SOA, NCES
g
Communication Hardware FPDP, VME, Myrinet, RapidIO IP based: Infiniband, GigE, WWW Communication Middleware DDS, CORBA, JMS, HTTP, SOAP SMM, (RT)-MPI, RT-CORBA,DDS MIT Lincoln Laboratory
Avionics for HPEC 10 16 September 2010
SOA = Service Oriented Architecture OSA = Open System Architecture
Domain specific technologies support open architectures in the two domains Domain specific technologies support open architectures in the two domains
Embedded System Distributed System Networked System-of-Systems
Performance (Low Latency)
Airborne Radar Avionics Ground Station GIG Hardware Computation Hardware VLSI, FPGA, DSP, multicomputers workstations, servers, clusters
cialization
generality
Computation Middleware
spec
SAL, VSIPL, PVTOL, RT-CORBA Libraries, CORBA, SOA, NCES
g
Communication Hardware FPDP, VME, Myrinet, RapidIO IP based: Infiniband, GigE, WWW Communication Middleware DDS, CORBA, JMS, HTTP, SOAP SMM, (RT)-MPI, RT-CORBA,DDS MIT Lincoln Laboratory
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SOA = Service Oriented Architecture OSA = Open System Architecture
Domain specific technologies support open architectures in the two domains Domain specific technologies support open architectures in the two domains
MCE Ground Station
Users/Apps (e.g. Exploitation) CAOC
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SOA = Service Oriented Architecture OSA = Open System Architecture
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and sustain supersonic speeds w/o afterburners)
AN/APG-77 Radar S htt // f 22 t / f d h
Agility (maneuverability for shoot to-kill)
4pi-steradian situation awareness)
reliability and 2 level maintenance)
Source: http://www.f-22raptor.com/af_radar.php
Wing Area: 840 sq ft Engine Thrust Class: 35,000 lb Level Speed: 921 mph Total Length: 62.08 ft Wing Span: 44.5 ft Wing Span: 44.5 ft Horizontal Tail Span: 29ft Tail Span: 18'10" Total Height: 16.67ft Track Width: 10.6ft Engines: Pratt & Whitney F-119 Max Takeoff Weight: 60 000 lb (27 216 kg)
60,000 lb (27,216 kg)
5,000 lb (2,270 kg) Weight Empty: 31,670 lb (14,365 kg) Ceiling: 50,000 ft (15,240 m) G Limit: 9+
MIT Lincoln Laboratory
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The F-22 Raptor is the world’s pre-eminent air dominance fighter The F-22 Raptor is the world’s pre-eminent air dominance fighter
Source: http://www.f22fighter.com/
8-12.5 GHz Active ESA 10W TR modules Low Observability ECCM LPI modes
AN/APG-77 RADAR
Highly sophisticated integrated avionics system architecture Highly sophisticated integrated avionics system architecture MIT Lincoln Laboratory
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Source: Military Avionics Systems, I. Moir and A. Seabridge 2006 John Wiley & Sons, Ltd
8-12.5 GHz Active ESA 10W TR modules Low Observability ECCM LPI modes
AN/APG-77 RADAR
Highly sophisticated integrated avionics system architecture Highly sophisticated integrated avionics system architecture MIT Lincoln Laboratory
Avionics for HPEC 16 16 September 2010
Source: Military Avionics Systems, I. Moir and A. Seabridge 2006 John Wiley & Sons, Ltd
8-12.5 GHz Active ESA 10W TR modules Low Observability ECCM LPI modes
AN/APG-77 RADAR
Highly sophisticated integrated avionics system architecture Highly sophisticated integrated avionics system architecture MIT Lincoln Laboratory
Avionics for HPEC 17 16 September 2010
Source: Military Avionics Systems, I. Moir and A. Seabridge 2006 John Wiley & Sons, Ltd
Request for proposals 1985 Program Start Oct 86 First flight, preproduction Sep 97 First flight, production Sep 03 FOC Dec 07 1981 Requirements issued Jul 1986 Design Submitted Sep 1990 First Flight Aug 01 Production go-ahead Dec 05 IOC Jul 09 Production capped at 187 Aircraft
MIT Lincoln Laboratory
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Sources: 1. Jane's All the World's Aircraft 2. Defense Aerospace.com; Measuring the Real Cost of Modern Fighter Aircraft
Request for proposals 1985 Program Start Oct 86 First flight, preproduction Sep 97 First flight, production Sep 03 FOC Dec 07 1981 Requirements issued Jul 1986 Design Submitted Sep 1990 First Flight Aug 01 Production go-ahead Dec 05 IOC Jul 09 Production capped at 187 Aircraft World’s best World’s most most expensive
MIT Lincoln Laboratory
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Sources: 1. Jane's All the World's Aircraft 2. Defense Aerospace.com; Measuring the Real Cost of Modern Fighter Aircraft
Request for proposals 1985 Program Start Oct 86 First flight, preproduction Sep 97 First flight, production Sep 03 FOC Dec 07 1981 Requirements issued Jul 1986 Design Submitted Sep 1990 First Flight Aug 01 Production go-ahead Dec 05 IOC Jul 09 Production capped at 187 Aircraft World’s best World’s most most expensive
Cost needs to be balanced with war fighting capability
competitive AND timely AND high quality
Cost needs to be balanced with war fighting capability
competitive AND timely AND high quality
MIT Lincoln Laboratory
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Sources: 1. Jane's All the World's Aircraft 2. Defense Aerospace.com; Measuring the Real Cost of Modern Fighter Aircraft
p
Source: Ending F-22A production: costs and industrial base implications of alternative options / Obaid Younosss … [et al]
Avionics supplied by a small set of vendors but are the major cost component in a modern fighter aircraft Avionics supplied by a small set of vendors but are the major cost component in a modern fighter aircraft MIT Lincoln Laboratory
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component in a modern fighter aircraft. component in a modern fighter aircraft.
rds
F-35 (estimated) 106 Aging Avionics in Military Aircraft http://www.nap.edu/catalog/10108.html
K – 16 bit wor
Estimated 1.7M SLOC OFP 90% ADA F-22 (estimated) 106 105 104
y Utilization:
F-15A F-16A F-15E
104 103 102
OFP Memory
F-106 F-111A
10 10 1
Year
Modern software architectures, technologies, and practices are crucial as the Modern software architectures, technologies, and practices are crucial as the
1955 1965 1975 1985 1995 2005 1
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Modern software architectures, technologies, and practices are crucial as the complexity of military aircraft software systems continues to grow exponentially Modern software architectures, technologies, and practices are crucial as the complexity of military aircraft software systems continues to grow exponentially
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Distributed Digital Architecture Circa 1970s Distributed Analog Architecture Circa 1960s Federated Digital Architecture Circa 1980s F-4 Phantom F-14A Tomcat F/A-18 Hornet
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Source: Military Avionics Systems, I. Moir and A. Seabridge 2006 John Wiley & Sons, Ltd
Radar Cockpit Displays EO / IR Integrated Aircraft System Computer p p y Flight Controls & Flight Management Weapons p Recording Communications MIT Lincoln Laboratory
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8-12.5 GHz Active ESA 10W TR modules Low Observability ECCM LPI modes
AN/APG-77 RADAR
Highly sophisticated capability based on integrated avionics system architecture Highly sophisticated capability based on integrated avionics system architecture MIT Lincoln Laboratory
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Source: Military Avionics Systems, I. Moir and A. Seabridge 2006 John Wiley & Sons, Ltd
Radar Cockpit Displays EO / IR Integrated Aircraft System Computer p p y Flight Controls & Flight Management Payload Manage- ment Unit Weapons p Recording Communications MIT Lincoln Laboratory
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g g g
g g g
Radar Processor Cockpit Displays Flight Controls & Processor EO / IR Processor Flight Controls & Flight Management Recording Processor Processor Weapons Processor Communications S Processor Server MIT Lincoln Laboratory
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Open Reference Architectures Plug-and-Play Hardware Plug-and-Play Hardware Service-oriented Subsystems Service-oriented Middleware Service & Client Factorization Avionics Metadata
Radar
AMRAAM System EW
A B C D CNI Display Subsystem Mission Computer Mass Storage K
E F G H I Mass Storage
Network Adapter/ DataLink To/from GIG (virtual Ground Station) J
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Open Reference Architectures Plug-and-Play Hardware Plug-and-Play Hardware Service-oriented Subsystems Service-oriented Middleware Service & Client Factorization Avionics Metadata
Radar
AMRAAM System EWS
B A C D CNI Display Subsystem Mission Computer Mass Storage K
Mass Storage I E F G H Network Adapter/ DataLink J
self-organization (crucial for composable architecture).
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To/from GIG
Open Reference Architectures Plug-and-Play Hardware Plug-and-Play Hardware Service-oriented Subsystems Service-oriented Middleware Service & Client Factorization Avionics Metadata
Radar
AMRAAM System EWS
B A C D CNI Display Subsystem Mission Computer Mass Storage K
Mil Std 1394B (or Mil Std 1553) Switched fabric
Mass Storage I E F G H
Network Adapter/ DataLink J
self-organization (crucial for composable architecture).
MIT Lincoln Laboratory
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To/from GIG
Open Reference Architectures Plug-and-Play Hardware
Reference Interfaces Executable Service Interfaces Reference Interfaces Executable Service Interfaces
Plug-and-Play Hardware Service-oriented Subsystems Service-oriented Middleware Service & Client Factorization Avionics Metadata
Radar
AMRAAM System EWS
B A C D
A C D
CNI Display Subsystem Mission Computer Mass Storage K
Mass Storage I E F G H
E F G H I
Network Adapter/ DataLink To/from GIG (virtual Ground Station) J
J Avionics performance constraints require domain-specific service / client technologies Avionics performance constraints require domain-specific service / client technologies MIT Lincoln Laboratory
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client technologies client technologies
Open Reference Architectures Plug-and-Play Hardware
SOA middleware is: 1.Communication middleware (e.g. DDS pub/sub) 2.Registry/Broker SOA middleware is: 1.Communication middleware (e.g. DDS pub/sub) 2.Registry/Broker
Plug-and-Play Hardware Service-oriented Subsystems Service-oriented Middleware Service & Client Factorization Avioincs Metadata
Radar
AMRAAM System EWS
B A C D
A C D
3.Interface description language 4.Common services 3.Interface description language 4.Common services
CNI Display Subsystem Mission Computer Mass Storage K
Mass Storage I E F G H
E F G H I
Network Adapter/ DataLink To/from GIG (virtual Ground Station) J
J SOA middleware supports: 1.Position independent services and clients 2.Real-time communication* SOA middleware supports: 1.Position independent services and clients 2.Real-time communication* MIT Lincoln Laboratory
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Open Reference Architectures Plug-and-Play Hardware
1.Define standard behavior of subsystem services 2.Subsystem implementations hidden from outside world 1 Wrapper for legacy systems 1.Define standard behavior of subsystem services 2.Subsystem implementations hidden from outside world 1 Wrapper for legacy systems
Plug-and-Play Hardware Service-oriented Subsystems Service-oriented Middleware Service & Client Factorization Avionics Metadata
Radar
AMRAAM System EWS
B A C D
A C D
CNI Display Subsystem Mission Computer Mass Storage K
Mass Storage I E F G H
E F G H I
Network Adapter/ DataLink To/from GIG (virtual Ground Station) J
J MIT Lincoln Laboratory
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Open Reference Architectures Plug-and-Play Hardware
1.Define standard behavior of subsystem services 2.Subsystem implementations hidden from outside world 1 Wrapper for legacy systems 1.Define standard behavior of subsystem services 2.Subsystem implementations hidden from outside world 1 Wrapper for legacy systems
Plug-and-Play Hardware Service-oriented Subsystems Service-oriented Middleware Service & Client Factorization Avionics Metadata
Radar
AMRAAM System EWS
B A C D
A C D
CNI Display Subsystem Mission Computer Mass Storage K
Mass Storage I E F G H
E F G H I Mission Computer Software 1 F t d i t i d li t Mission Computer Software 1 F t d i t i d li t
Network Adapter/ DataLink To/from GIG (virtual Ground Station) J
J 1.Factored into services and clients 2.Services mappable anywhere in system 3.Service internals are legacy codes
1.Factored into services and clients 2.Services mappable anywhere in system 3.Service internals are legacy codes
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Open Reference Architectures Plug-and-Play Hardware
1.Metadata specifications describe
1.Metadata specifications describe
Plug-and-Play Hardware Service-oriented Subsystems Service-oriented Middleware Service & Client Factorization Avionics Metadata
Radar
AMRAAM System EWS
B A C D
A C D
CNI Display Subsystem Mission Computer Mass Storage K
Mass Storage I E F G H
E F G H I Avionics Metadata Stores Ph i l fi ti / t t Avionics Metadata Stores Ph i l fi ti / t t
Network Adapter/ DataLink To/from GIG (virtual Ground Station) J
J
descriptions
stores
descriptions
stores MIT Lincoln Laboratory
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Shared network storage
Service Nodes
Radar
AMRAAM S t EWS B
g resource manager
Radar
System
A C D
A C D
Avionics SOA Middleware
Web Server g
CNI
Display Subsystem
Mission Computer
Mass Storage I E F G H
E F G H I To LAN
Network Adapter/ DataLink
Simulation K
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Key: Actual
Shared network storage
Service Nodes
Radar
AMRAAM S t EWS B Environment Simulations
g resource manager
Radar
System
A C D
A C D
Avionics SOA Middleware
Radar
AMRAAM EWS
Web Server g
CNI
Display Subsystem
Mission Computer
Mass Storage I E F G H
E F G H I
Mission Computer Display Subsystem Mass Storage
To LAN
Network Adapter/ DataLink
Control/ Display CNI Network Adapter Display
Simulation K
MIT Lincoln Laboratory
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Key: Actual
Shared network storage
Service Nodes
Radar
AMRAAM S t EWS B Environment Simulations
g resource manager
Radar
System
A C D
A C D
Avionics SOA Middleware
Radar
AMRAAM EWS
Web Server g
CNI
Display Subsystem
Mission Computer
Mass Storage I E F G H
E F G H I
Mission Computer Display Subsystem Mass Storage
To LAN
Network Adapter/ DataLink
Control/ Display CNI Network Adapter Display
(OFP) into Services and Clients
Simulation K
MIT Lincoln Laboratory
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Key: Actual
Shared network storage
Service Nodes
AMRAAM S t EWS Environment Simulations
Radar Radar I/Fs Radar Sim Radar Sim
B
g resource manager
System
A C D
A C D
Avionics SOA Middleware
Bus Interfaces
AMRAAM EWS
Radar
Web Server g
CNI
Display Subsystem
Mission Computer
Mass Storage I E F G H
E F G H I
Bus Interfaces Display Subsystem Mass Storage
To LAN
Network Adapter/ DataLink
Control/ Display CNI Network Adapter Display
Simulation K
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Key: Actual
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Government PO
Prime Contractor
Paper Down Proposal A Proposal
p Select Proposal B Single Design Single Design PDR CDR Flight Test Prime conducts downselect
Prime / Sub Prime / Sub System Changes Ops Test and Ops Upgrades De-Mil Prime Production Decision
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10 000
Design freeze Deployment
1000 10,000
Good for rapidly changing technology Good for rapidly changing requirements
Technology 100
Power
Good for rapidly changing requirements
Built-in refresh and improvements More difficult to manage
COTS with portable software Refresh 1 10
Processing P
Freezes technology and builds to fixed design Acceptable for slow moving technologies Requires stable requirements throughout lifecycle
Easier to manage ith c rrent acq isition strateg
Custom Hardware
Years
5 10 15 1
Easier to manage with current acquisition strategy
commercial industry’s investment
commercial industry’s investment MIT Lincoln Laboratory
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46
commercial industry s investment
commercial industry s investment
Source: Ending F-22A production: costs and industrial base implications of alternative options / Obaid Younosss … [et al]
Competitive procurement and upgrade of components with high
Competitive procurement and upgrade of components with high MIT Lincoln Laboratory
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Competitive procurement and upgrade of components with high “Intellectual Property” content. Competitive procurement and upgrade of components with high “Intellectual Property” content.
Source: Ending F-22A production: costs and industrial base implications of alternative options / Obaid Younosss … [et al]
restricted to less complex items
competition
Competitive procurement and upgrade of components with high
Competitive procurement and upgrade of components with high MIT Lincoln Laboratory
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Competitive procurement and upgrade of components with high “Intellectual Property” content. Competitive procurement and upgrade of components with high “Intellectual Property” content.
Government PO
Avionics Prime Contractor
Proposal
Avionics Prime Contractor
Proposal B Proposal A Design A PDR CDR Flight Test Best Best of
Design B PDR CDR Flight Test Best-of- breed Performance Down Select ICD Development and Verification Process
Directed Directed Integration (Sub)
Decision Gov’t Downselect Product Decision
System Change
Ops Ops Test & Ops Upgrades De-Mil
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