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CALCULATION OF RADAR CROSS SECTION BASED ON SIMULATIONS OF AIRCRAFT WAKE VORTICES Pereira, C. (1) , Canal D. (2) , Schneider J.Y. (2) , Beauquet G. (2) , Barbaresco F. (2) , Vanhoenacker‐Janvier, D. (1) 1) ICTEAM, UCL, Louvain-la-Neuve, Belgium, [email protected], [email protected] (2) Surface Radar Domain,Technical directorate,Thales Air system SA, France, [email protected], [email protected], [email protected], [email protected] SESAR project

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CALCULATION OF RADAR CROSS SECTION BASED ON SIMULATIONS OF

AIRCRAFT WAKE VORTICES Pereira, C. (1), Canal D. (2), Schneider J.Y. (2), Beauquet G. (2), Barbaresco F. (2) ,

Vanhoenacker‐Janvier, D.(1)

1) ICTEAM, UCL, Louvain-la-Neuve, Belgium, [email protected], [email protected]

(2) Surface Radar Domain,Technical directorate,Thales Air system SA, France, [email protected], [email protected],

[email protected], [email protected]

SESAR project

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Outline

• Introduction

• Numerical model

• Simulation procedure

• Example of results

• Conclusion and Perspective

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INTRODUCTION

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Introduction • Problematic:

– Air traffic density expands; – Diversity of operational aircraft fleet increases; – Airport enlargement is limited; – Need to optimise the transportation flow.

• Solution: – modulating the safe separation distances according to the weather

conditions and airplane types; – real-time sensing of wake vortices for the implementation of new air

traffic management systems.

• Means: – Continuous measurements by Radar and Lidar; – Simulation of power backscattered by wake vortices for:

• better understand the physical mechanics involved; • comparison with measurements for calibration.

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NUMERICAL MODEL

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Overall simulation model Aircraft detection simulation

= 3D Electromagnetic calculation

+ Fluid mechanics model

• Fluid mechanics model: simulates the movement and evolution of atmosphere parameters (air

pressure, air temperature and humidity);

• Dielectric permittivity is function of the atmospheric parameters (link between the two models). Semi-empirical formula of Thayer for clear-air :

∆𝜀𝑟 ≈ 2. 10−6 0.776

𝑝𝑑𝑇−𝑝𝑑𝑎𝑇𝑎+ 0.648

𝑒

𝑇

5827

𝑇−𝑒𝑎𝑇𝑎

5827

𝑇𝑎

• ∆𝜀𝑟: dielectric permittivity from vortices without ambient air; • Pd: dry air partial pressure [Pa]; • T: absolute temperature [K]; • e: water vapor partial pressure [Pa]; • “a” subscript indicates the ambient air.

• Electromagnetic modeling: computes the power backscattered to the radar by the wake vortices,

evolving in function of dielectric permittivity.

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fluid mechanics model

Test case: • 2D pseudo-spectral numerical method

– Vortex movement: Incompressible Navier-Stokes equation with Boussinesq approximation;

– Water vapour: Convection-diffusion equation.

• Output = atmospheric parameters: – Water vapor pressure (Pa); – Dry air pressure (Pa); – Temperature (K).

• Computes the spatial repartition and temporal evolution of the dielectric permittivity 𝜀𝑟

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2D fluid mechanics model

Vortices evolution after roll up

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Electromagnetic model: Radar Cross Section (RCS)

𝜎𝑟 = 10𝑙𝑜𝑔10𝑘4

4𝜋 𝐼𝑛𝑡𝑝

𝑁

1

2

• r: the radar cross section [dB];

• 𝑘 = wavenumber [m];

• N = number of sub volumes;

• 𝐼𝑛𝑡𝑝 = oscillating integral of the 𝑝𝑡ℎsub-volume.

• => The overall integral is written as a sum of integrals over sub-domains that fill the entire domain.

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Formulas: oscillating integral 𝐼𝑛𝑡𝑝 = ∆𝜀𝑟 𝑦,𝑧 𝑓 𝑥 𝑒

−𝑖2𝑘.𝑟 ⅆ𝑟

𝑟 /2

−𝑟 /2

• 𝑟 = distance vector (x, y, z) between the receiver and the volume element [m];

• Δ𝜀𝑟 𝑦,𝑧 = dielectric permittivity from vortices without ambient air (evolving in y

and z in our case);

• 𝑓 𝑥 = modulation function used to extend the slice in the x dimension (takes into account the antenna radiation pattern);

2D Δ𝜀𝑟 𝑦,𝑧 * 1D 𝑓 𝑥 = 2.5D approach

• Particularity:

– At X band frequencies, the wavenumber value is large;

– Wake vortex detections is performed at several hundred meters.

The calculation consists in solving a highly oscillatory integral ( Li method [1]).

[1] J. Li, X. Wang, T. Wang, S, Xiao, “An improved Levin quadrature method for highly oscillatory integrals”, Applied Numerical Mathematics,

Vol, 60, Issue 8, August 2010, Pages 833-842

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SIMULATION PROCEDURE

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Procedure: generality

X

Y

Radar

Ray

Slice

y

z

dx Xmax

Volume

Z

Vortex

cores Wake

vortices

Vortices oval

Slice modulation

Assumption: • The vortices are considered as uniform along the x axis.

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Procedure: fence angle consideration

X

Y

Radar

Ray

Slice: fence = 0°

y

z

Slice: fence = 45°

y

z

fe

Vortices oval

Vortex

cores Wake

vortices

Z Ray

Slice streatching

before

modulation

Assumption: • The vortices are considered as uniform along the x axis.

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Procedure: vortex age detection

Vortices descent function and spatial position of radar in respect of the vortices lead to the determination of the vortices age seen by the radar.

Ground

Radar

Ray

Pulse

length

el

b0

h

Vortices descent Y

Z

Range

Vortex cores

X

b0 = vortices characteristic length which normalize all

dimensions.

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Procedure: radar cell extraction

y

Z

Radar

Cell 1 Cell 2

Cell 3 Cell 4

Pulse length

Slice generated by 2D fluid mechanics model

Radar illumination

X

Radar cells extraction following: • Radar pulse length; • Radar beam width.

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EXAMPLE OF RESULTS

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Configuration presented Three aircraft detection simulation are compared:

• Aircraft 1: b0 = 27 m

• Aircraft 2: b0 = 47 m

• Aircraft 3: b0 = 63 m

For a coherent base of comparison, the following parameters are used:

• Brunt–Vaissala frequency: 0.014 Hz

• Range: 1080 m

• Fence angle: 0 deg and 30 deg

• Elevation angle: 2,5 deg

• Frequency: 9.1 GHz

• Pulse length: 40 m

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Evolution of Radar Cross Section El = 2.5 t0= 1.26

RCS = -67.1800 dB RCS = -51.9218 dB RCS = -51.8242 dB RCS = -66.0624 dB

El = 2.5 t0= 1.26

RCS = -62.5246 dB RCS = -63.1366 dB RCS = -44.5479 dB RCS = -40.0288 dB

RCS = -46.4822 dB RCS = -62.1451 dB RCS = -60.5217 dB

RCS = -60.8803 dB RCS = -59.8312 dB RCS = -47.5716 dB RCS = -42.2232 dB

RCS = -41.7927 dB RCS = -41.7540 dB RCS = -46.1685 dB RCS = -57.8188 dB

RCS = -58.1666 dB

Aircraft 1: width of slice = 6*b0 = 160m

Aircraft 2: width of slice = 6*b0 = 280m

Aircraft 3: width of slice = 6*b0 = 360m

RCS = -60.88 dB

RCS = -59.83 dB

RCS = -47.57 dB

RCS = -42.22 dB

RCS = -41.79 dB

RCS = -41.75 dB

RCS = -46.16 dB

RCS = -57.81 dB

RCS = -58.16 dB

RCS = -62.52dB RCS = -63.13 dB RCS = -44.54 dB RCS = -40.02 dB RCS = -46.48 dB RCS = -62.14 dB RCS = -60.52 dB

RCS = -62.18 dB RCS = -46.92 dB RCS = -46.82 dB RCS = -61.06 dB

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Summary of results: fence = 00 deg

Presence of vortex cores

15dB

1) Discrimination of radar cells with and without wake vortex possible when reading the RCS evolution.

2) The dynamics is roughly 15 dB.

3) The aircraft 3 is more visible than the aircraft 2 which is more visible than the aircraft 1.

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A1 A2 A3

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Summary of results: fence = 30 deg

Presence of vortex cores

15dB

1) Discrimination of radar cells with and without wake vortex possible when reading the RCS evolution.

2) The dynamics is roughly 15 dB.

3) The aircraft 3 is more visible than the aircraft 2 which is more visible than the aircraft 1.

4) Small increases of the RCS values with the fence angle. 22/05/2013 Wakenet 2013 20

A1 A2 A3

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CONCLUSION AND PERSPECTIVE

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Conclusion • Electromagnetic calculation is used for the simulation of wake vortex

detection. – 3D electromagnetic model. – Applied on a simplified 2D fluid mechanics model.

• Physics are extended from 2D to 2.5D, neglecting the variation along the x axis. • Fence angles taken into account by stretching the vortices.

– Evaluation of Radar Cross Section versus time. – Use of Li method to solve highly oscillatory integral.

• The aircraft vortices influence are visible on the Radar Cross Section along the propagation path.

• The value of Radar Cross Section fence angle increases slightly with the fence angle.

• Multiple configuration: generation of Look Up Table.

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Perspective • Extend the electromagnetic model to other parameters as Doppler shifts; • Optimization of electromagnetic computation possible since Δ𝑟 ≫ 𝜆; • Test the developed algorithm using a Large-Eddy Simulation of wake vortices evolving in

realistic atmospheres.

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THANK YOU FOR YOUR ATTENTION

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