Table of Contents
ISPRS Int. J. Geo-Inf., Volume 6, Issue 8 (August 2017)
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Cover Story Pedestrian indoor localization systems often harness existing Wi-Fi infrastructures within any [...] Read more. Pedestrian indoor localization systems often harness existing Wi-Fi infrastructures within any given building. The location is often determined via fingerprints, denoting the receivable signal strengths for hundreds of locations within the building. While this provides maximal accuracy, setup and maintenance times take too long. Alternatively, prediction models could be used to estimate receivable signal strengths, providing a trade-off between setup-time and accuracy. We examine the achievable accuracy of such models by optimizing their parameters depending on several levels of available knowledge—tarting with a fully empiric instant setup, up to a highly-optimized scenario based on a few reference measurements. Finally, we propose a new signal strength prediction model as a combination of several simple ones to further increase the accuracy. View the paper