RSS-Based Map Construction for Indoor Localization

Aimed at the problem of complex progress for indoor map building, this paper proposes an RSS-based indoor map construction algorithm only using information of WiFi fingerprint. The indoor map construction problem is then transformed into a classification problem of reference points in fingerprint database. With the aid of hierarchical classification system consisting of single-AP-based base classifier and multi-AP-based combination classifier, the accuracy of the classification results is guaranteed. Moreover, an accurate line segment feature map is obtained by identifying demarcation line between two classes from the hierarchical classification system. The simulation experiments are used to evaluate the effectiveness of the classification algorithm and the feasibility of the map construction algorithm.