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Electro-Optic Systems Integration Laboratory

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Presentation on theme: "Electro-Optic Systems Integration Laboratory"— Presentation transcript:

1 Electro-Optic Systems Integration Laboratory
Australian Government Department of Defence Shane Kelly Electro-Optic Countermeasures Group Electronic Warfare & Radar Division, DSTO

2 Overview EW SIL EO SIL Virtual environment for HWIL Equipment
Applications Signature Generation Simulation Motion False Alarm Environments Requirements on Sources and Source Capability LED DMD Future Plans

3 EW Systems Integration Laboratory
HWITL/HITL virtual environment (EW SIL) EO SIL – MAWS, LWR RF Systems Virtual MANPADS, RPG Virtual Cockpit Demonstrated real-time integration with CECOM HITL Software models

4 EO Systems Integration Laboratory Facilities
Instrumented Threat Warning Systems 47/54/57/60 VVR-1 Stimulator Instrumentation (UV) Baringa, Hydra, Mallina, Real-time sources (UV LED Insertion under contract) HiFi Signature Generation Sensor Motion Control Real-time shot truthing Control Software Simulation Definition Simulation Execution Automatic Manual Networked Analysis

5 Sensor/System Evaluation
Sensor Characterisation Sensitivity, FOV, fault verification Laboratory replay of trials Pd determination Engagement time-lines Virtual trials Utilising high fidelity signature generation Stochastic False Alarm Comparison Currently unable to replicate: Atmospheric Scatter Multiple targets (~ 100) in repeatable way Atmospheric Scintillation (yet)

6 High Fidelity Signature Generation
Parameterisation of Off-axis Scattering Intensity Calculation (OSIC) + Occlusion Model Inputs Sensor Parameters Threat, Sensor positions and orientations Threat emissions and Atmospheric Conditions Output Photon Intensity distribution Photon distributions generated off-line into 6-D look-up table Coupled with appropriate fly-out model Generates scene of distributed photons for each time-step of fly-out model Better than real-time demonstrated (provided intensity not too great) Currently only direct and near-axis scattered component implemented in EO SIL

7 Shot Truthing Stimulator Shot Truthing
Core to qualification of trial replay capability Instrumentation of actual field radiometers Immediate determination of deviation from intended shot Includes elementary image truthing Object counting for FAR analysis Potential motion truthing

8 Lateral Motion

9 Laboratory False Alarm Environments
Requirements Multiple sources Varying radiometric signal characteristics Attack/sustain/decay + modulation Independent motion Stochastic Evaluation Reflected tinsel/disco-ball Arbitrary Stochastic Evaluation UV LED

10 Rocket Motor Emissions
Boost Ignition Incandescent Source Eject Spike Boost Sustain

11 Target Sensor Irradiance
Sustain Boost Ignition Boost Eject Spike

12 Including Signal Noise
Sustain Incandescent Source Boost Ignition Boost Eject Spike

13 Sources Incandescent Lamp with Quartz Envelope Alternate Sources
MEON/Baringa RTS Mallina Alternate Sources Laser Expensive Arc Difficult to control Problems emitting low amplitude Problems when in motion Typically noisy UV Light Emitting Diode Dramatically Improved frequency response Reduced noise level Digital Mirror Device Reproduce scene, or Modulate signal with high resolution Good frequency response

14 UV LEDs Available at 5nm increments across 250 – 300 nm High power
~20nm FWHM Can replicate some spectral content High power Significantly increase safety issue over QH Frequency response > 10 KHz Mechanical modulation no longer required Replication of noise Low emission noise ‘The optimum UV stimulation device’ Have demonstrated reproduction of 5ms pulse Schedule for insertion in EO SIL before end FY 09/10

15 Atmospheric Scattering
Total = Direct + Forward Scattered Direct Forward Scattered (1st order) Forward Scattered (2nd order)

16 UV Projector XGA Digital Mirror Device 1024 x 768 binary mirrors
± 12 degrees mirror tilt µm mirror pitch Supports 9.7K frames/sec

17 DLP Applications in EO SIL
Multiple benign and threat sources All sources can move independently Accurate representation of scattered component Temporal control of source intensity

18 Future Work Qualified replication of field trials
Improved Noise Modelling Engaging PhD candidate under tri-party agreements Optical replication of virtual engagements Implementation of UV LED Further development of UV scene projection Transition to infrared

19 Key Staff DSTO BAE Systems Australia
Shane Kelly (Threat Warning Section Lead) Ray Darling (EW SIL Lab Manager) Stephane Collignon (EO SIL Lab manager) Bill Field (Senior Technical Officer) Mark Panizza (UV Scene Parameterisation) BAE Systems Australia Victor Florea (Optical Scientist) Tri Luu (Software Engineer) Langdon Davis (Software Engineer)

20 Questions?

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