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Low Cost IEMI Detector. In: Electromagnetic Compatibility (EMC Europe), 2015

International Symposium on:WS26 Workshop on IEMI Effects on Critical Infrastructures:

The European Project STRUCTURES. .

eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/

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(2)

IEMI Detection Systems:

A low cost IEMI detector

J F Dawson, L Dawson, I D Flintoft, L Rebers,

Michael Camp, Juergen Schmitz, Markus Jung

(3)

System Concept

Conducted

IEMI Detector

Radiated

IEMI Detector

Radiated

IEMI Detector

Comms

interface

PC

(Laptop/Server)

Fibre Optic/Wireless/LAN links

USB

Software:

Logging Display &

(4)

Radiated IEMI Sensor

(5)
(6)

Sensor Frequency Response

0.01 0.1 1 10

0.2 0.25 0.3 0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.7

Detector and log amp dc output for detector in stripline

Frequency (GHz) O u tp u t (V )

(7)

Sensor CW Dynamic range

0.1

1

10

100

0.1

1

10

100

Detector and log amp field in stripline fitted cal and computed AF

Input field (V/m)

D

e

te

c

to

r

F

ie

ld

(V

/m

)

(8)

Detector Assembly

Prototype detector, microcontroller, optical

link, and batteries in shielded enclosure

(9)

High Field Tests at RMW

Microcontroller

Fibre-optic

Interface

Radiated IEMI

Sensor

Battery

Fibre-optic

to USB

Interface

PC

(10)
(11)

Integrated D-dot probe output

(12)
(13)

Low cost detector Status

Useable Radiated detector up to 6~GHz

Frequency response flat to 2GHz

Sensitive 2V/m to > 4kV/m

Partial response to short pulses

Sensitive 200V/m to > 4kV/m for 250ps pulse

Potential for low power operation

could be solar powered

(14)

IEMI Detection Systems:

A system for sensing, localization and

identification of IEMI attacks

W

H

M

S

M

Rubenstein, Benjamin Menssen, Heyno Garbe

(15)

Overall Architecture

Overall architecture for identification and localization system for IEMI sources

Localization by the time difference of arrival method

(16)

Ideal architecture

Balun

Sensor

E

O

Optical fibre

O

E

Detector /

Digitizer /

Receiver

Computer

Balun

E

O

Optical fibre

O

E

Detector /

Digitizer /

Receiver

Sensor

.

.

.

N× sensor

(17)

Block Diagram for one sensor

Block diagram for one sensor

Electric-field sensor

Signal Conditioning

Amplitude Measurement

Single bit digitizer

Time domain waveform checking

Processing unit

(18)

Estimations of waveform parameters

Single pulse double exponential

Estimating time constants

From timing two threshold crossings we can obtain the two time constants

)

(

ln

)

(

2B

2A

A

B

1

t

t

V

V

)

(

ln

-A

0

2A 2B B A

2A

t

t

V

V

t

e

V

V





V

B

V

0

e

− ′

t

2 B

τ

1

1 B 2 A 2

)

(

B

A

t

t

e

V

V

V

A

V

0

e

− ′

t

(19)

Estimations of waveform parameters

Damped sinusoid

Damped sinusoid

Estimating decay time constant and fundamental frequency

T

V

e

t

)

T

ln(

V

t

)

ln(

2

1

2

T

V

f

m

)

ln(

2

1

2

T

V

f

m

f

m

m Start

t

,

/

f

m

m End

(20)

Estimations of waveform parameters

Continuous wave

Continuous Wave

Estimating fundamental frequency

D

t

n

=

(

n

1)

π

2

π

f

D

t

n

=

π −

2arcsin(

V

T

)

+

(

n

2)

π

2

π

f

n

t

n

f

2

1

n

t

n

V

f

2

)

2

(

)

arcsin(

2

T

If n is odd

If n is even

If n is odd

(21)

Specifications of the demonstrator

System able to accept large dynamic in amplitude &

frequency

Amplitude dynamic range : min 100 V/m; max 20 kV/m

Frequency dynamic range : a few hundred Hz -> 1 GHz

Amplitude measurement with fast transition and rise

time in case of the pulse signal

lowest rise time = 300 ps

(22)

KC705 Evaluation Board for the Kintex-7 FPGA

Main reason for the choice

High-performance transceivers capable of up to 12.5 Gb/s;

the demonstrator of the Structures project runs at 8 Gb/s

(23)

System assembly

Interface Board Sensor board

(24)

Hardware results & measurement

(25)

Hardware results & measurement

Peak-hold with pulse signal

(26)

Algorithm: Localization

Time Difference of Arrival (TDoA)

Calculating the time difference between the received signals at the different

sensor locations using the cross correlation algorithm

5 sensors are used of which one is considered as reference

Using 5 sensors, the set of equations can be linearized

(27)

Localization and identification

system Status

Prototype detection and identification system

References

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