Furthermore, when the channel model differs from the optimum one (the one for which the localization errors are the lowest, which corresponds in the WiFi case for example to η estim between 3.8 and 4.3 and A estim between −22 dB and −17 dB, depending on the algorithm), the improvement when using the proposed positioning techniques may be quite significant.
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Weighted least squares techniques for improved received signal strength based localization.
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