1 / 20

Assessment of Impacts on Radar/IR Detection Vulnerability and EA/ISR Effectiveness

Assessment of Impacts on Radar/IR Detection Vulnerability and EA/ISR Effectiveness Prof Ken Davidson Department of Meteorology Root 231 19 January 2006. Near-Surface Collected: Vessel / Buoy Airflow Waves. Atmospheric Numerical Predictions: Mesoscale COAMPS.

castor-rivas
Download Presentation

Assessment of Impacts on Radar/IR Detection Vulnerability and EA/ISR Effectiveness

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Assessment of Impacts on Radar/IR Detection Vulnerability and EA/ISR Effectiveness Prof Ken Davidson Department of Meteorology Root 231 19 January 2006\

  2. Near-Surface Collected: Vessel / Buoy Airflow Waves Atmospheric Numerical Predictions: Mesoscale COAMPS Satellite sensor collected: Duct Top Height SST In situ Upper-Air Soundings: Rawinsondes Microwave/Lidar Land Wireless Link Upper-Air COAMPS profiles Duct Fields RF IR Sea 100% 100% Near-Surface NPS Bulk Model 80% 60% 30% Continuous, 3-D Refractivity Extinction Scintillation 0% Propagation Models EM: APM IR: EOSTAR Effects Models AREPS TAWS = examined/applied Integrated Approach for RF/IR Impact Assessment: Legend: METOC Data Sources, Refractivity Models,Propagation Models, Effects (SPP) Models

  3. Sonic Anemometer RH/T Profiles Fit Bulk Wave Staff Developed/Demonstrated METOC Technologies

  4. Sonic Anemometer RH/T Profiles Wave Staff Developed/Demonstrated METOC Technologies

  5. Developed/Demonstrated METOC Technologies for ISR Networked

  6. Experiment Area & Measurement Points IR Detector 7.2 km path NPS Buoy IR Source

  7. NPS Buoy Deployments • 1 Dec 04 – 9 Mar 05 • 17 Mar 05 - 6 Jun 05 • 9 Jun 05 – 25 Jul 05 • 27 Jul 05 – 17 Oct 05 • 20 Oct 05 – ~15 Dec 05

  8. Effects Propagation Loss for Standard Atmosphere M increases with height

  9. NPS Evaporation Duct Model NPS Model computes profiles Radar waves bend up Measured parameters (WS, Tair, Tsea, RH) Evap Duct Height Radar waves bend down Predicts atmospheric properties that affect radar propagation (modified refractivity profile) from basic met measurements

  10. Effects Propagation Loss for Evaporation Duct Duct Ht = 65 ft, radar @ 55 ft Greatly Increased Detection Ranges Possible Duct

  11. Effects of Different Ducting Types on Radar Detection EVS Test Example, SCI, 17 July 2004

  12. Propagation Loss for Surface-Based Duct Top of Trapping Layer Duct Increased Detection Ranges Possible Skip Zone

  13. Effects Propagation Loss for Evaporation & Surface-Based Ducts Sfc-Based Duct Complex Interference Zone Evap Duct No Skip Zone

  14. Rf Effects Field Tests with Propagation, Observed and Satellite/COAMPS Data

  15. Electro-Optical Systems Overview Components Verification Operations • Forward Looking Infrared imagers, sensors (FLIR) • Night Vision Goggles (NVG) • TV systems • Laser systems • Designator • Detector • Rangefinder

  16. Target Aquisition Weapons System (TAWS) Thesis topics

  17. Approach axis & timing • Optimum altitude • Sensor cueing • Thermal crossover • Polarity • Illumination (Wx -impacted) Infrared Target Scene Simulation (IRTSS) • Visualizations • Simulation of cockpit display • Situational awareness • Dynamic imagery • Circular loop • Level approach Goal of our Support Overview Components Verification Operations • Performance Prediction System to enable operators to exploit mission environment • TAWS & IRTSS optimize mission effectiveness while minimizing threat exposure

  18. Sensor models NVTHERM CCDCAM FLIR 92 Developer updates Target / Background New targets Target optimization Background analysis Automated analysis Seasonal variations Satellite support Components Environment • Atmospheric transmission • Aerosols • Turbulence

  19. Verification Overview Components Verification Operations • Types of analysis • Detection • Recognition • Identification • Time series • Angle series • Solar effects • Target/background thermal models • Cloud effects • Cloud types • Cloud density • Cloud concentration

  20. Questions

More Related