U-space field trials results for drone discrimination with a staring radar

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U-space field trials results for drone discrimination with a staring radar

Mohammed Jahangir

SESAR U-SPACE Vision

SESAR Joint Undertaking. (2017, June 9)

U-Space: Aiming to enable complex drone operations with a high

degree of automation

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CLASS is about Drone Tracking

terminal • Position • ID • Timestamp every 4s Integrated Integrate Backend Integrate Backend Backen ated ated kend kend terminal term

Drone Identifier and Tracker

Drone-it!

Ultra Narrow Band technology

Air Situation and Alerts

Real Time Monitoring

Data Fusion

Fuse Cooperative and Non-Cooperative tracks

Gamekeeper 16U

Take on drone spotting: Stare not scan

Tactical Deconflition

Including zone infringementt

3 Conf-P-027 v0.1

Non-cooperative surveillance

4

The need for non-cooperative detection for drones

Non-cooperative tracking:

o

Airspace security

o

_{Airspace infringement}

o

_{Verifies cooperative data}

o

_{Mitigates cooperative failures}

o

_{Bridges the interoperability gap}

Situational awareness of all air

traffic regardless of equipage

o

Pilot can detect and avoid any flying

object

o

_{Provides BVLOS situational}

awareness

Current ATC radar technology

cannot see drones

Low

• Strong ground

reflection

Slow

• Difficult to

distinguish from

static clutter

Small

• Tiny reflection

• Other small

objects

Conf-P-027 v0.1

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Holographic Radar

5

Aveillant products use a common Holographic Radar Technology Platform

Conf-P-027 v0.1 Transmit Antenna

Power Amplifier

Timing & Waveform Generator

Channel Data Processor & GPU

Target Processor Network Receive Antenna Theia 384A x 12 x 32 Gamekeeper 16U

Shared with Channel and Data Processor

UAS PSR 60NM Transmitter Receiver panels

Gamekeeper

Deployments Paris CDG Airport Monaco Deenethorpe

(Test Site) Singapore

Bretigny (reference installation)

Auckland Airport

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CLASS 6 U-Space Scenarios

7 Conf-P-027 v0.1

CLASS Drone Live Experiments

Trial Site

o

Ex-RAF Airfield, Deenethrope

Trial Dates

o

October 15

th

_{– 18}

th

2018

Trial Equipment

o

Aveillant: Gamekeeper 16U

o

ENAC fixed wing and DJI

drones

o

Airbus: Drone-it!

o

Unifly: UTM

Mon 15th Oct

Tue 16

th

_Oct

_{Wed 17}

th

_Oct

_{Thu 18}

th

_Oct

Set-up

Live Day 1

Live Day 2

Visitor Day

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Urban pollution sampling

Conf-P-027 v0.1

9

(1) Drone moved to

SAMPLING

point (2) Drone conducts air pollution

sampling (3) Drone returns to land whilst avoiding ground obstructions

CLASS Scenario CLASS_DS_06 – Planned Flight Path

Live Flight – Raw Detections

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Conf-P-027 v0.1

11

Live Flight – Unfiltered Tracks

CLASS Live Experiments @ Deenethorpe UK

Feature map from multiple flights

2 December 2018 12

Blue: Drones & Red: non-Drones

Conf-P-027 v0.1

Features: Track Age, Height, Velocity, Acceleration, Micro-Doppler Components, Jerk

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Decision Tree Machine Learning

2 December 2018 13

Trajectory and micro-Doppler features as input

Conf-P-027 v0.1

Nodes:

MATLAB Features:

Prune Method:

73 7, 12, 17, 30, 38

MinLeafSize = 300

Live Flight – Filtered Drone Tracks

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CLASS Live Experiments

15

Deenethorpe, UK 18th_{October 2018}

Conf-P-027 v0.1

Future Programme - SAFIR

16

Safe And Flexible Integration of Initial U-space Services in a Real Environment

13 Partners, from UTM providers, drone operators, surveillance system

operators, drone service providers and U-Space stakeholders

Drone flights at Droneport, Belgium

o

_{March to May 2019}

o

_{11 U-Space scenarios with 6 drone operators}

o

Test drone flights in segregated airspace

U-space flights in Antwerp, Belgium

o

_{June to August 2019}

o

_{Live demonstration}

Aveillant Planned scope

o

_{Install radar in agreed location}

o

_{support operation during trial period}

o

_{Integrate experimental work from CLASS into product baseline}

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