Aerospace & Defense Technology - May 2022 - 27

Tech Briefs
Unmanned Aerial Systems Electromagnetic Induction
Sensor Development
Developing drone-mounted electromagnetic induction (EMI) sensors capable of detecting and characterizing
unexploded ordinance and improvised explosive devices will provide a distinct improvement in
the ability of ground troops to quickly and efficiently recover from an attack.
Army Engineer Research and Development Center, Hanover, New Hampshire
T
he U. S. Army Engineer Research
and Development Center
(ERDC) is the lead Army research
and development organization
for force protection, military engineering,
and geospatial research
engineering. The ERDC is expanding
its efforts in support of new
Department of Defense (DoD)
protection requirements and
capability gaps for troops in highthreat
environments. The present
work is critical to meet protection
requirements and capability gaps
for current research and development
programs and for the planning
and scheduling for future
science and technology efforts
within the U.S. DoD.
The Cold Regions Research
Induced Flux
Transmit Coil
Receive Coil
Secondary
(Induced)
Field
Primary Field
Induced
Dipole
Moment
Schematic of a typical electromagnetic induction system. Current in the
transmit coil creates an alternating magnetic primary field. This field
induces an alternating dipole moment in the target, which leads to a
secondary magnetic field. This induced secondary field is detected by
the receive coil, by which the target can be located.
and Engineering Laboratory
(ERDC-CRREL) and the Geotechnical
Structures Laboratory (ERDC-GSL) are
supporting the U.S. Air Force Civil
Engineer Center through research and
development of an unmanned aerial
vehicle-mounted electromagnetic
induction (EMI) device capable of
localizing embedded unexploded ordinance
(UXO) for expedited runway
and military range remediation. There
are presently no standoff (no ground
contact) UXO detection capabilities
available to soldiers. Developing and
delivering such a capability will provide
a distinct improvement in their
ability to quickly and efficiently recover
from an attack.
EMI is a noninvasive, standoff geophysical
technique that can be used to
localize and determine orientation of
UXO and underground cavities caused
by fragmented munitions detonation.
EMI devices have long been used for
mapping UXO and detecting improvised
explosive devices (IED). Additionally,
they have been flown on helicopAerospace
& Defense Technology, May 2022
ter-based airborne systems for large-scale
mineral exploration and groundwater
applications. Yet, until recently, they
have not been evaluated for use on
unmanned aerial systems (UASs) in a
reconnaissance approach. While other
geophysical techniques are gaining popularity
for UAS sensor implementation,
EMI for UASs has not yet been successfully
implemented. With that in mind,
there are some academic institutions
and research groups working on the
problem.
Potential applications for a UASbased
EMI system are widespread from
civil infrastructure, such as permafrost
mapping, levee and dam assessment,
slope stability assessment, and landfill
characterization, to military mobility
operations, including UXO and IED
detection, runway remediation, and
ground surface structural competency
evaluations.
The initial development phases of
this UAS-based EMI system require an
understanding of the electromagnetic
mobilityengineeringtech.com
ADT Tech Briefs 0522_1.indd 27
Intro
Cov
ToC
+
-
A
µ
fields emitted by the UAS platform
itself to optimize the performance
of the system. Here
we measure the fields emitted
by two different UAS motor
configurations at varying standoff
distances from 0 to 53 cm.
For this initial phase of the
investigation, shielding variables
are not introduced. The
results from the investigation
determine the minimum distance
needed for the sensor to
operate without negative influence
from the electrical noise of
the UAS motor.
The U.S. military has a need
to remotely characterize in situ
UXO associated with runway
bombardment. While EMI sensors
exist for UXO detection,
there are currently no UAS-based EMI
systems that can provide this remote
characterization of UXO with a nearreal-time
target classification. The EMI
sensors currently available for detection
and classification of metallic UXO and
IEDs are bulky and cumbersome, making
it difficult to implement on a
remotely controlled UAS acquisition
system. ERDC-CRREL and ERDC-GSL,
in conjunction with Dartmouth College,
has developed or aided in the
development of multiple EMI devices
for detection of UXO and IEDs, including
GEM-3D, MPV, MPV-II, Pedemis,
and High-Frequency EMI (HFEMI) for
nonmetallic UXO.
This work was done by Benjamin Barrowes,
Dan R. Glaser, Brian G. Quinn, Mikheil
Prishvin, and Fridon Shubitidze for the Army
Engineer Research and Development Center.
For more information, download the
Technical Support Package (free white
paper) at mobilityengineeringtech.com/
tsp under the Unmanned Vehicles &
Robotics category. ERDC-0012
27
4/26/22 2:12 PM
È
https://www.mobilityengineeringtech.com/component/content/article/ae/pub/briefs/45800 http://info.hotims.com/82321-784 http://info.hotims.com/82321-830

Aerospace & Defense Technology - May 2022

Table of Contents for the Digital Edition of Aerospace & Defense Technology - May 2022

Aerospace & Defense Technology - May 2022 - Intro
Aerospace & Defense Technology - May 2022 - Cov 4
Aerospace & Defense Technology - May 2022 - Cov 1
Aerospace & Defense Technology - May 2022 - Cov 2
Aerospace & Defense Technology - May 2022 - 1
Aerospace & Defense Technology - May 2022 - 2
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Aerospace & Defense Technology - May 2022 - Cov 3
Aerospace & Defense Technology - May 2022 - Cov 4
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