IMPROVED INDOOR LOCALIZATION WITH DIVERSITY AND FILTERING BASED ON RECEIVED SIGNAL STRENGTH MEASUREMENTS

Π8: Indoor Positioning System using WLAN Received Signal Strength Measurements

In this deliverable we provide the details of building an indoor positioning system using WLAN Received Signal Strength (RSS) fingerprints. The positioning system has been deployed at the premises of KIOS Research Center and follows a terminal-based-network-assisted architecture. In our case, users that carry a terminal (Tablet PC) are able to self-locate and positioning is performed entirely o...

Learning Indoor Localization using Radio Received Signal Strength

PRIMAL: Page Rank-Based Indoor Mapping and Localization Using Gene-Sequenced Unlabeled WLAN Received Signal Strength

Due to the wide deployment of wireless local area networks (WLAN), received signal strength (RSS)-based indoor WLAN localization has attracted considerable attention in both academia and industry. In this paper, we propose a novel page rank-based indoor mapping and localization (PRIMAL) by using the gene-sequenced unlabeled WLAN RSS for simultaneous localization and mapping (SLAM). Specifically...

Received Signal Strength Indicator - Based Adaptive Localization Algorithm for Indoor Wireless Sensor Networks

Solutions for indoor localization have become more critical with recent advancement in context and location-aware technologies. When wireless sensor network (WSN) used in complex indoor environment, great propagation loss will be caused and it is very difficult to estimate adaptively the location of target nodes when environment changed. In this paper, an indoor adaptive localization algorithm ...

Comparative evaluation of Received Signal-Strength Index (RSSI) based indoor localization techniques for construction jobsites

This paper evaluates the accuracy of several RSSI-based localization techniques on a live jobsite and compares them to results obtained in an operating building. RSSI-based localization algorithms were tested due to their relative low cost and potential for accuracy. Four different localization algorithms (MinMax, Maximum Likelihood, Ring Overlapping Circle RSSI and k-Nearest Neighbor) were eva...