Research on Physical Decay Model and Location Fingerprint for WIFI Positioning Algorithm

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Abstract:

for the mutual restriction problem of precision and efficiency of current WIFI positioning technology, we propose a locating algorithm combining the Location Fingerprint with the Physical Decay Model and carry out de-noising treatment during the data collection. Use direct physical decay model to position within a tolerable error range. When the error exceeds the threshold, combined with location fingerprint algorithm, we use KNN for further exact match. Experients show that this method can effectively reduce the errors caused by unstable RSSI and improve the positioning accuracy and efficiency.

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3936-3941

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November 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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