A comparative survey of WLAN location fingerprinting methods

By Ville Honkavirta, Tommi Perälä, S. Ali‐Löytty, Robert Piché. Workshop on Positioning Navigation and Communication, 2009

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Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges (2016, background): “The underlying approach in probabilistic localization is the Maximum A Posteriori (MAP) estimation [71], [95].”
UJIIndoorLoc: A new multi-building and multi-floor database for WLAN fingerprint-based indoor localization problems (2014, background): “Other WLAN-based works as [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33] have been not included in Table I since they do not provide information about the characteristics of the database or the information provided shows that their databases are very s”
Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances (2016, neutral): “[11] 2009 Indoor Wireless A comparative study of WLAN location fingerprinting methods based on RSS values”
A Survey of Selected Indoor Positioning Methods for Smartphones (2017, methodology): “However, CA methods have lower accuracy compa ed with nonparametric fingerprinting methods such as KNN and WKNN that record corresponding RSS values, and use them during positioning.”
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons (2016, methodology): “Euclidean distance [54]–[56], cosine similarity [57] and Tanimato similarity [58] have been implemented for signal comparison [31].”