Improvement of the Localization Error caused by Human Body for RSSI-based Localization
Date Issued
2014
Date
2014
Author(s)
Zhang, Xiao-Qi
Abstract
Indoor localization is a popular topic in recent years, especially WLAN-based localization because of its cost and convenience. Nevertheless, the accuracy of WLAN-based localization is mainly determined by the receive signal strength index (RSSI). RSSI is affected by many factors of surroundings: e.g. reflection of RF signals, NLOS to signal sources. In tracking localization of a person, the person must wear a device with RF transceivers. Due to human body shadowing of RF signals, the localization result is affected. In this thesis, measurement of the human body shadowing of RF signals is focused. When facing away from a transmitter, human body shadowing will introduce a decay of RSSI value which hampers the localization finding with trilateration. In this thesis, the localization error caused by the human body is reduced by first determining the relative position of the human body and transmitters. Through the proposed method in this thesis, the localization error can be reduced by up to 1.5m when only one transmitter was affected by human body shadowing.
Subjects
RSSI
indoor localization
Human body shadowing
Type
thesis
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