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Detecting and locating electronic de...

Stagner, Colin Blake.

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Detecting and locating electronic devices using their unintended electromagnetic emissions.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Detecting and locating electronic devices using their unintended electromagnetic emissions./
Author:	Stagner, Colin Blake.
Description:	103 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-01(E), Section: B.
Contained By:	Dissertation Abstracts International75-01B(E).
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3596838
ISBN:	9781303441561

Detecting and locating electronic devices using their unintended electromagnetic emissions.
Stagner, Colin Blake.

Detecting and locating electronic devices using their unintended electromagnetic emissions. - 103 p.

Source: Dissertation Abstracts International, Volume: 75-01(E), Section: B.

Thesis (Ph.D.)--Missouri University of Science and Technology, 2013.

Electronically-initiated explosives can have unintended electromagnetic emissions which propagate through walls and sealed containers. These emissions, if properly characterized, enable the prompt and accurate detection of explosive threats. The following dissertation develops and evaluates techniques for detecting and locating common electronic initiators. The unintended emissions of radio receivers and microcontrollers are analyzed. These emissions are low-power radio signals that result from the device's normal operation.

ISBN: 9781303441561Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Detecting and locating electronic devices using their unintended electromagnetic emissions.
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020 $a 9781303441561
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100 1 $a Stagner, Colin Blake. $3 2099782
245 1 0 $a Detecting and locating electronic devices using their unintended electromagnetic emissions.
300 $a 103 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-01(E), Section: B.
500 $a Adviser: Steven Grant.
502 $a Thesis (Ph.D.)--Missouri University of Science and Technology, 2013.
520 $a Electronically-initiated explosives can have unintended electromagnetic emissions which propagate through walls and sealed containers. These emissions, if properly characterized, enable the prompt and accurate detection of explosive threats. The following dissertation develops and evaluates techniques for detecting and locating common electronic initiators. The unintended emissions of radio receivers and microcontrollers are analyzed. These emissions are low-power radio signals that result from the device's normal operation.
520 $a In the first section, it is demonstrated that arbitrary signals can be injected into a radio receiver's unintended emissions using a relatively weak stimulation signal. This effect is called stimulated emissions. The performance of stimulated emissions is compared to passive detection techniques. The novel technique offers a 5 to 10 dB sensitivity improvement over passive methods for detecting radio receivers.
520 $a The second section develops a radar-like technique for accurately locating radio receivers. The radar utilizes the stimulated emissions technique with wideband signals. A radar-like system is designed and implemented in hardware. Its accuracy tested in a noisy, multipath-rich, indoor environment. The proposed radar can locate superheterodyne radio receivers with a root mean square position error less than 5 meters when the SNR is 15 dB or above.
520 $a In the third section, an analytic model is developed for the unintended emissions of microcontrollers. It is demonstrated that these emissions consist of a periodic train of impulses. Measurements of an 8051 microcontroller validate this model. The model is used to evaluate the noise performance of several existing algorithms. Results indicate that the pitch estimation techniques have a 4 dB sensitivity improvement over epoch folding algorithms.
590 $a School code: 0587.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Physics, Electricity and Magnetism. $3 1019535
650 4 $a Computer Science. $3 626642
690 $a 0544
690 $a 0607
690 $a 0984
710 2 $a Missouri University of Science and Technology. $b Electrical Engineering. $3 2093519
773 0 $t Dissertation Abstracts International $g 75-01B(E).
790 $a 0587
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3596838