Abstract
Location fingerprinting in wireless LAN positioning used by RSSI (Received Signal Strength Indication) has become one of the most popular indoor positioning technologies. However RSSI is easily affected by environment, it is difficult to improve the accuracy. In this paper, a hybrid fingerprints construction algorithm was presented by RSSI and geomagnetic field which can effectively reduce the inaccuracy compared to the construction location fingerprints that only use RSSI. This article has also presented the C-GPCA (Clustering Grouped Principal Component Analysis) algorithm, which can be used in the further optimization of hybrid fingerprint database, improving the positioning accuracy.
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