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Estimating the position error of 802.11-based indoor positioning systems

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802.11-based indoor positioning have been under research for quite some time now. However, the majority of the research focuses on the calculation of position estimates themselves. In this presentation I will go one step further and discuss how the position error that is inherent to 802.11-based positioning systems can be estimated.

Knowing the position error is beneficial to many applications that rely on position information. For instance, informing a user about the estimated position error will allow him to assess the level of trust these position estimates contain and then take appropriate countermeasures, e.g., look around the area defined by the position error for his true position.

I will present five novel algorithms to estimate the positioning error by taking different features into account. The algorithms have been evaluated in two different real-world deployments and the results show that the algorithms are able to estimate the position error to within 1.45 meters on average.

This talk is part of the Computer Laboratory Digital Technology Group (DTG) Meetings series.

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