Abstract
An analysis of the performance of several algorithms for improving the estimation of user location in a standard infrastructure wireless local area network (WLAN) is presented. The basic method involves comparing real-time received signal strength indication values with those stored in a precreated radio map to estimate the user's location. However, this basic tracking technique can have an rms error of almost 5 m, which is particularly high for indoor tracking. The performance of three different refinement algorithms was simulated across a range of testbed environments. One of the algorithms, constrained movement, offered almost a 40 % improvement in rms error (2.8 m for a measurement uncertainty of 2.5 dB) and performed consistently well across all of the environments considered.
Published Version
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