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Figure 18a selects the candidates by the "number of matches" method, i.e., equal values in the quantified RSSI levels of the fingerprinting and the measurement positions.
We present the shares calculated using the realized matches method both using the mode and a one standard deviation range around the mean as the norm.
The four methods present similar characteristics, 95th percentile is around 4 5 m. Figure 18b also applies the "number of matches" method; however, in this case, the matches could be in the range of ±1 level compared with the calibration point.
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Matched controls were created using a propensity score matching method [ 23].
Tracking by matching method (named TbM).
This part tests the performance of our matching method.
We apply a Radius-matching method (caliper of 0.1).
A typical position estimation algorithm uses a pattern-matching method.
For this, we will use a template matching method.
This method is based on the integral point-matching method.
In this matching method two possibilities may arise.
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