science and technology its role in shaping the ew future dr andrew shaw defence science and...
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Science and TechnologyIts Role in Shaping the EW
FutureDr Andrew Shaw
Defence Science and Technology OrganisationAustralian Department of Defence
Australia
THIS PRESENTATION IS UNCLASSIFIED – APPROVED FOR PUBLIC RELEASE
This presentation reflects the concepts, views and opinions of the author and does not necessarily reflect the policies or positions of
the Australian Department of Defence
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Outline of Brief“A Boffins Eye View of the World”
Technology Growth
Key Technology Drivers
Technology Impact on the EW Landscape
Shaping the EW Response
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Technology Backdrop Rapid progress in wide range of technologies
Decreasing SWAP & cost are enabling increasing uptake
Technology advances and growth follow an exponential, not linear, path
1
10
100
1,000
10,000
100,000
1,000,000
1990 1995 2000 2005 2010 2015 2020
Avera
ge P
ow
er
[W]
World 1um Yb (non eyesafe)
World 0.79um pumped 2um Tm (eyesafer)
DSTO 0.79um pumped 2um Tm (eyesafer)
DSTO 1um Nd:YAG CPFS Slab Lasers (noneyesafe)
With Coherent Beam Combination
Single mode fibre powerdoubles every 18 months
SWAP = Size, Weight And Power consumption
ADC speed resolution product doubles every 4 years
B.Murrmann
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Key Technology Trends
Global access to COTS
Networking Technologies
Software Defined Systems
Key Technology Drivers for EWTechnology is revolutionising the ability to exploit the EM domain Greater spectral diversity; Sophisticated signals & information streams;
More covert communications & sensing systems; Networked operations
EM domain accessible by an increasingly large community
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Global Access to COTS
Culture of enthusiastic uptake, integration and use of technologyGlobal homogenisation of technology will erode technological edge
“ to give ordinary software people the ability to 'hack' the em specturm, that is, to understand and think of clever ways to use it”.
500mW Greenwww.WickedLasers.com
1W Blue
TGSW Thin disk laser module. Laser systems up to 500W www.tgsw.com
Mobile Comms Technologies1993: > 1 million users; 48 countries2008 > 3 Billion users; 218 countries2011 > 3.9 Billion users of 5.4 billion accounts
iPAD applications > 150 thousand (Feb 12)Significant increase in COTS satellite data
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• Internet backbone bandwidth:• > 49% year on year growth
Networking Technologies
Growth in 2013 greater than the capacity in 2010!
http://www.telegeography.com/
Annual traffic growth 2007-2011
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• Internet backbone bandwidth:• > 49% year on year growth• cost declines 20% per year
Networking Technologies
Netflix consumes 30% of peak US traffic
http://www.telegeography.com/
http://www.telegeography.com/
Median price per Mbps 2005-2011
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• Internet backbone bandwidth:• > 49% year on year growth• cost declines 20% per year
Networking Technologies
Increased support for:
Shared and improved situational awareness Coordinated action Use of sophisticated unmanned systems
Some indicative numbers (uncompressed)
Hi Res EO 1008x1018x8x140 1149Mb; 1 image HDTV 1280x720x8x24 176 Mbps SAR 50km:0.3m:8:170m/s 1.2Gbps HS 1000x1000x12x100 1.2Gb; 1 frame
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Software Defined SystemsMulti-mode; multi-role systems - examples
Maritime Scan
FPGA Testbed
AAR 60
Improved MAWS performance
HFI and RPG
DSTO experimental radar
High bandwidth version of Software Defined Radio
Data Collection systemRadarES……..
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Impact on the EW Landscape
COMPLEXITY
EV
OLU
TIO
N S
PEED
DEG
REE O
F V
AR
IAB
ILIT
Y
Global access to COTS
Networked Systems
Software Defined Systems
Emerging systems:- more complex & diverse; rapidly evolving
Eroding confidence about environment
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Shaping the EW Response: “Grand Challenges”
Understand and predict how the EM domain may be exploited to produce an integrated C4ISTAREW system
Counter an integrated capability, not a single sensor, effector, platform
EW solutions delivered using networked, distributed, reconfigurable systems – i.e. complex and adaptive systems
Effective development cycles
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Systemic EW Effects
Create a problem in the system so that it can no longer operate as a system
Degrade system situational awareness/decision making
Degrade system homeostasis (internal stability)
Effector delivery through sensors; networks, C2; data streams
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The Complex and Adaptive EW System
Distributed; networked; reconfigurable Part of an integrated C4ISTAREW construct
Challenge – Understanding and dealing with complexity:-
Monitoring/maintaining system homeostasisControlling the system signatureProtecting the integrity of the system (nodes and
network)Making decisions in a data rich environmentUnderstanding critical mission timelinesPlanning & coordinating networked EW effects
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The Future EW Operator EW operator environment
More complex data sets More dynamic Shorter critical mission timelines
Assisted data analysis and support toolsKurzweil’s prediction …
Computational Capability Predicted
Cost Time from 2011
Human Brain US$100 12 years
Human Race US$1000 38 years
Close partnership with decision making by AI entities
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Wideband LAN
Historical data
System Homeostasis Data
Real time dataAnalyst Tools
ISR COP
Future EW Analyst Environment? EW analysts are more than EW operators
Build pictures of EM environment Build pictures of (networked) threat environment Help maintain system homeostasis Help integrate EW sensor information into overall COP
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Hardware subsystemsData exploitation
Complex and Adaptive EW System Development Maximise technology leverage
Simplify upgrades Minimise development timescales Reduce costLeverage civilian investment - COTS
Wide number of vendorsThird party developmentEasy integration
“Open” architecture systems
Data integration
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Summary
Three key technology drivers impacting EW future
Increasing access to EM spectrum
EW solutions delivered by complex, adaptive systems
Technology can help