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Position estimation and tracking of an autonomous mobile sensor using received signal strength

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conference contribution
posted on 2008-01-01, 00:00 authored by Timothy Black, Pubudu PathiranaPubudu Pathirana, Saeid NahavandiSaeid Nahavandi
In 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.



IEEE Conference on Intelligent Sensors, Sensor Networks and Information Processing (2008 : Sydney, N.S.W.)


19 - 24




Sydney, N.S.W.

Place of publication

Piscataway, N.J.

Start date


End date







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Publication classification

E1 Full written paper - refereed

Copyright notice

2008, IEEE


A Bouzerdoum, M Palaniswami, G Dissanayake, A Sowmya

Title of proceedings

ISSNIP 2008 : IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing