black-positionestimation-2008.pdf (438.09 kB)
Position estimation and tracking of an autonomous mobile sensor using received signal strength
conference contribution
posted on 2008-01-01, 00:00 authored by Timothy Black, Pubudu PathiranaPubudu Pathirana, Saeid NahavandiIn this paper, an algorithm for approximating the path of a moving autonomous mobile sensor with an unknown position location using Received Signal Strength (RSS) measurements is proposed. Using a Least Squares (LS) estimation method as an input, a Maximum-Likelihood (ML) approach is used to determine the location of the unknown mobile sensor. For the mobile sensor case, as the sensor changes position the characteristics of the RSS measurements also change; therefore the proposed method adapts the RSS measurement model by dynamically changing the pass loss value alpha to aid in position estimation. Secondly, a Recursive Least-Squares (RLS) algorithm is used to estimate the path of a moving mobile sensor using the Maximum-Likelihood position estimation as an input. The performance of the proposed algorithm is evaluated via simulation and it is shown that this method can accurately determine the position of the mobile sensor, and can efficiently track the position of the mobile sensor during motion.
History
Event
IEEE Conference on Intelligent Sensors, Sensor Networks and Information Processing (2008 : Sydney, N.S.W.)Pagination
19 - 24Publisher
IEEELocation
Sydney, N.S.W.Place of publication
Piscataway, N.J.Publisher DOI
Start date
2008-12-15End date
2008-12-18ISBN-13
9781424429578Language
engNotes
©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.Publication classification
E1 Full written paper - refereedCopyright notice
2008, IEEEEditor/Contributor(s)
A Bouzerdoum, M Palaniswami, G Dissanayake, A SowmyaTitle of proceedings
ISSNIP 2008 : IEEE International Conference on Intelligent Sensors, Sensor Networks and Information ProcessingUsage metrics
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