Using a Sensor Network to Localize a Source under Spatially Correlated Shadowing

This paper considers the use of a sensor network to estimate the position of a transmitting radio based on the received signal strength at the sensors. A generic path loss model which includes the effects of spatially correlated shadowing is assumed. A weighted likelihood (WL) estimator is proposed,...

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Bibliographic Details
Published in2010 IEEE 71st Vehicular Technology Conference pp. 1 - 5
Main Authors Flåm, John T, Kraidy, Ghassan M, Ryan, Daniel J
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2010
Subjects
Cognitive radio
Councils
Fading
Interference
Mean square error methods
Paper technology
Performance loss
Robustness
Shadow mapping
Wideband
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Summary:This paper considers the use of a sensor network to estimate the position of a transmitting radio based on the received signal strength at the sensors. A generic path loss model which includes the effects of spatially correlated shadowing is assumed. A weighted likelihood (WL) estimator is proposed, which can be seen as a simplified minimum mean square error (MMSE) estimator. This estimator can be used for localizing a source in a static scenario or it can provide the initial position estimate of a tracking algorithm. The performance of the WL estimator is simulated, and robustness to erroneous assumptions about path loss exponent, shadowing variance and correlation distance is demonstrated.
ISBN:1424425182
9781424425181
ISSN:1550-2252
DOI:10.1109/VETECS.2010.5493640