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Utilization of wireless signal strength for mobile robot localization in indoor environments.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Utilization of wireless signal strength for mobile robot localization in indoor environments./
Author:	Shue, Samuel L.
Description:	1 online resource (101 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-09(E), Section: B.
Contained By:	Dissertation Abstracts International78-09B(E).
Subject:	Robotics. -
Online resource:	click for full text (PQDT)
ISBN:	9781369707854

Utilization of wireless signal strength for mobile robot localization in indoor environments.
Shue, Samuel L.

Utilization of wireless signal strength for mobile robot localization in indoor environments. - 1 online resource (101 pages)

Source: Dissertation Abstracts International, Volume: 78-09(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

Localization is a key component of any mobile robot application. For any task a mobile robot might need to perform, precise knowledge of its pose within its environment is critical. Mobile robots employ a multitude of sensors to estimate position, orientation, and mapping of its environment. Distance to wireless beacons through signal strength decay can be integrated into a simultaneous localization and mapping (SLAM) algorithm of a mobile robot equipped with a wireless transceiver, with an emphasis on indoor environments. However, radio signal strength does not predictably attenuate indoors as it does in open environments due to signal interference, absorption, and reflection from objects within the environment, inflicting unexpected amplification or decay at the receiver known as multipath interference. This causes erroneous distance estimations due to the unexpected changes in signal strength attenuation.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369707854Subjects--Topical Terms:

561941
Robotics.
Index Terms--Genre/Form:

554714
Electronic books.

Utilization of wireless signal strength for mobile robot localization in indoor environments.
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100 1 $a Shue, Samuel L. $3 1182888
245 1 0 $a Utilization of wireless signal strength for mobile robot localization in indoor environments.
264 0 $c 2017
300 $a 1 online resource (101 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 78-09(E), Section: B.
500 $a Adviser: James M. Conrad.
502 $a Thesis (Ph.D.) $c The University of North Carolina at Charlotte $d 2017.
504 $a Includes bibliographical references
520 $a Localization is a key component of any mobile robot application. For any task a mobile robot might need to perform, precise knowledge of its pose within its environment is critical. Mobile robots employ a multitude of sensors to estimate position, orientation, and mapping of its environment. Distance to wireless beacons through signal strength decay can be integrated into a simultaneous localization and mapping (SLAM) algorithm of a mobile robot equipped with a wireless transceiver, with an emphasis on indoor environments. However, radio signal strength does not predictably attenuate indoors as it does in open environments due to signal interference, absorption, and reflection from objects within the environment, inflicting unexpected amplification or decay at the receiver known as multipath interference. This causes erroneous distance estimations due to the unexpected changes in signal strength attenuation.
520 $a In this research, models of radio propagation as it relates to the received signal strength indicator (RSSI) are explored along with localization techniques which utilize these models. For development and testing of RSSI-based localization techniques a simulation method has been described which utilizes a Markov chain to provide realistic multipath interference on simulated RSSI data. Using this simulation technique, a multipath filtration method is proposed and applied to a range-only SLAM algorithm.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Robotics. $3 561941
650 4 $a Electrical engineering. $3 596380
650 4 $a Computer engineering. $3 569006
655 7 $a Electronic books. $2 local $3 554714
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690 $a 0544
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710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The University of North Carolina at Charlotte. $b Electrical Engineering. $3 1182889
773 0 $t Dissertation Abstracts International $g 78-09B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10270425 $z click for full text (PQDT)