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Radar/Lidar Sensors SESAR XP1 Trials at CDG...

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www.thalesgroup.com Radar/Lidar Sensors SESAR XP1 Trials at CDG airport WakeNet-USA 17-18 October 2012 Boeing, Seattle, USA
  • www.thalesgroup.com

    Radar/Lidar Sensors SESAR XP1 Trials at CDG airport

    WakeNet-USA17-18 October 2012Boeing, Seattle, USA

  • 2 /2 Agenda

    SESAR P12.2.2 overview Organization

    Development plan

    Planning and Milestones

    System View

    Sensors for Wake-Vortex Hazards Mitigation on Airport : SESAR sensors trials at CDG Airport XP0 setup and main recommendations

    XP1 setup and initial results

    Complementary activities: FP7 Ultra-Fast Wind Sensor for Wake Vortex Hazard Mitigation project

  • 3 /3



    12.2.2 Project, Team & Interfaces

    Runway Wake Vortex Detection, Prediction and Decision Support Tools

    12.2.2 executed in tight interaction with 6.8.1 operational project

  • 4 /4 Project 12.2.2 Phased Development Plan

    Wake Vortex Decision Support System is built in three iterative phases dealing with the three steps of the SESAR Concept Story Board

    TBS (Time Based Separation) step 1 Acquisition and processing of information about position, strength and behavior of

    wake vortex in case of significant headwind

    WDS (Weather Dependant Separation) step 2 Real time assessment of wake vortex position, strength; and prediction of wake

    vortex behavior to allow separation reduction; depending on weather conditions

    PWS (Pair Wise Separation) step 3 Demonstration of the system capacity to dynamically deliver separation per aircraft

    pairs; requires aircraft characteristics database (generation of wake vortex, sensitivity to wake vortex). Customization to different airports and runways configurations

    WVDSS is an enabler for validation of operational conceptWVDSS pragmatic & iterative developmentWVDSS able to optimize runways throughput and reduce delays on different kind of airports as well as to be adapted to several runway configurations

  • 5 /5

    2010-2012 2013-2014 2015-2016

    Phase 1 Phase 2 Phase 3

    Data acquisition:Sensors

    Benchmark(CDG )

    Partial prototype: Off-Line demonstration

    Time Based Separation(CDG )

    Full scale prototype: Shadow Mode

    Weather Dependant Separation(CDG )

    WV sensors : X-band radar (mech scan)1.5 m Lidar 2 m Lidars

    Weather Sensors : Ultrasonic Anemometers Lidar Wind Profiler UHF Radar Wind Profiler SODAR X-band weather radar

    WVAS System : Separation Mode Planner Wake Vortex Predictors WV Alerts Operator MMIWV sensors : X-band radar (Electronic scan) selected LidarWeather Sensors : Selected Wind profiling sensors

    Full scale updated prototype: Shadow Mode

    Pair Wise Separation( Frankfurt )

    WVAS System : Separation Mode Planner Wake Vortex Predictors WV Alerts Operator MMIWV sensors : X-band radar (elec scan) selected LidarWeather Sensors : Selected Wind profiling sensors

    WVAS System : Separation Mode Planner Wake Vortex Predictors WV Alerts Operator MMIWV sensors : X-band radar (elec scan) selected LidarWeather Sensors : Selected Wind profiling sensors


    Full scale simulation model



    Model calibration & validationXP1


    Deployment at CdG of 12.2.2 phase 1 prototype in September, 2012

    Global Planning

    Sept Oct2012

  • 6 /6 WVDSS Architecture for Phase 1 and beyond

    Global system



    Meteo Centre

    Wake Vortex Decision Support System


    Weather LIDAR

    UHF Wind Profiler


    X Band Radar

    1.5 m LIDAR

    Local Meteo Sensors

    External Weather M

    eteo Observation


    ATC & AirportSystems

    Aircraft Characteristics + 4D trajectory

    Weather Data Cube Supervisor




    Turbulences Calculation

    Local Weather Nowcast & Forecast

    (Wake Vortex AdvisorySystem SMP)

    Input / Output

    Separation Mode Planner


    INT -

    Lidar Front-End

    Lidar Wake Processing

    Radar Front-End

    Radar WakeProcessing

    Wake Plots


    Wake Vortex Sensors

    Electronic-scan Radar1.5 m WV Lidar

    Weather Data Cube



    Wake Vortex Predictor

    (Wake Vortex AdvisorySystem MA)

    Input / Output

    Monitoring & Alerting






    1Depending on WVAS location I.e. Approach only, Tower & Approach, SWIM may be used

  • 7 /7 Simulation Platform - Test platform overview

    Wake Vortex Sensors


    Wake Vortex Generator Approach




    Proposed separation mode and minima

    Wake Vortex Advisory System

    Meteo Data

    Traffic Data


    Radar Simulator

    Separation mode and

    minima selection

    WV Separation


    Wake VortexLocation/Strength

    Monitoring & Control

    Virtual Weather Data Generator

    Wake Vortex Tracker & Wake Vortex Advisory System


    Air Traffic Generator


    Display Analyze

    Lidar Simulator

    Test Tools

    Technical Supervision Off-Line / Analysis+ FoM



  • 8 /8 Technical Controller HMI

  • 9 /9 Optimal Deployment of Wake-Vortex Radar Sensors at CDG

    4 areas : 2 CSPR x 2 operations mode for take-off/landing



  • 10 /10 SESAR P12.2.2.: XP0 Sensors Deployment at CDG Airport

    Wake Vortex X-band Radar

    Wake Vortex & Wind 1.5 mm Lidar Scanner

    Sodar UFR Radar Wind Profiler

    Anemometers Visibility

    1.5 mm Lidar Wind Profiler

    Wake Vortex X-band Radar

    UFR Radar Wind ProfilerWake Vortex

    1.5 mm Radar Scanner

    Meteo-FranceC-band Radar

  • 11 /11

    Wake-Vortex Sensors Requirement Recommendations

    Thanks to XP0 results, it has been demonstrated that, in high altitudes, wake vortex behavior, being affected only by the wind, is predictable. out of ground effect, wake vortex predictors will be able to compute wake vortex behavior based

    on theoretical models.

    They need as input an accurate wind speed and direction.

    In these areas, no wake vortex monitoring sensor is recommended. On the opposite, close to the ground, where wake vortex behavior is affected

    by IGE, sensor-based wake vortex monitoring is mandatory. sensors scanning domain must be large enough to cover both landing & take-off.

    the best sensors position is demonstrated to be sideways, few hundred meters upstream from the touch down area.

    Conclusion of XP0 Trials for Wake-Vortex Sensors

    Out of Ground Effect In Ground Effect

    Left Vortex Right Vortex

  • 12 /12

    Wake-Vortex Sensors Recommendations

    The main results were convincing in terms of wake vortex detection: Most of wake vortices were detected in both critical areas The detection range has been demonstrated to be over the detection needs. wake vortex was detected as long as it was in the sensor scanning domain, except for some

    cases where detection algorithms must be tuned.

    Results show that RADAR and LIDAR are complementary depending on weather conditions: X-band RADAR performances are optimal under humid conditions LIDAR performances are optimal in dry air.

    Nevertheless, some improvements have to be done on these sensors to reach the performances needed by an operational system: Update rate needed to scan the Wake-Vortex 3D volume should be around 10 s. This capacity is

    already available for LIDAR, but should be developed for RADAR by Electronic scanning A gap in data availability has been observed in particular weather conditions, after rain when air

    has been cleaned from aerosols. Thus, the RADAR power budget must be increased in order for it to detect wake vortices in the whole domain where LIDAR data are not available.

    These development were already planned within the project. Thus, the campaign results confirm the theoretical analysis.

    Conclusion of XP0 Trials for Wake-Vortex Sensors

  • 13 /13 XP1 Sensors deployment at Paris CDG Airport : Sept.-Oct. 2012

    Wind Profiler PCL1300Lat.= 49 0'20.00"N

    Long.= 244'25.00"E

    Windcube 200s LidarCoordinates:

    Lat.= 49 00' 06.10" N Long.= 2 36' 11.20" E

    E-scan Wake-Vortex radarCoordinates

    Lat.= 49 00 16.00N Long.=2 36 28.00E Weather X-band radar

    CoordinatesLat.= 49 00 16.00N Long.=2 36 25.30E

    Observation Sector: Weather radar

    Measurement plans (3):LIDAR (340m)

    Observation Sector: WV radar (860m)

    A new multifunction X-band Radar with Electronic scanning capability is deployed for simultaneoulsy : Monitor Wake-Vortex close to the


    Assess Wind/EDR in the glide and around the airport



  • 14 /14 Wake Vortex Radar processing: A380 [clear air]

    A380 passing

    Vortex 1

    Vortex 2

    inversion of radial velocities

    Recording: 2012/09/21initial vortices separation ~80 m



    30 s after A380 passing

    Zoom: range/doppler map

    WV Detection plots

  • 15 /15 UFO Goals

    Safety margin of Wake-Vortex Separations are dependent of Wind assessment accuracy

    UFO will improve the update rate and the accuracy of Wind assessment: to optimize this Safety Margin to generate Alert in case of abrupt wind changes

    UFO will study dedicated Wind sensors compliant with future Airport Weather operations requirements

    NOTA : Last ICAO recommendations for Wake-Turbulence hazards mitigation on Airport promote the use of X-band Radar (with Lidar). In ICAO 2012 Working Document for the Aviation System Block Upgrades, THE FRAMEWORK FOR GLOBAL HARMONIZATION, issued 17 JULY 2012 (http://www.icao.int/Meetings/anconf12/Documents/ASBU.en.july%202012.pdf ), we can read in Annexe A on Module N B1-70 (Increased Runway Throughput through Dynamic Wake Turbulence Separation) : This capability will be provided by a combination of X-band radar and Lidar scanner technology. This new standard, readiness is scheduled by ICAO to be applicable as soon as 2018.

    UltraFast wind sensOrs for wake-vortex hazards mitigation

  • 16 /16

    Thales Air Systems 29th of February 2012

    FP7 UFO Study: Sensors Calibration with Airborne Measures


    ADS-B/Mode S Downlink of MET Data

    (from experimental aircraft with Wind/EDR

    probes)Experimental aircraft

    with MET probes& ADS-B Emulator

    1.5 micron 3D Scanner Lidar (W200S , Leosphere) E-scan X-band Radar









    4D High Resolution Model of Convective Boundary Layer

    < 1500 m

  • 17 /17 QUESTIONS

    BOEING B747-8

    AIRBUS A380