Abstract
Indoor positioning systems based on 802.11 and fingerprints
offer reasonably low position errors.We study the key factors for position
errors by systematically investigating (1) the number of access points,
(2) the number of samples in the training phase, (3) the number of samples
in the position determination phase, and (4) the setup of the grid
of reference points. Further, we squeeze out the best of the positioning
system by selecting advantageous values for these parameters. For our
study, we utilize a test environment with a size of about 312 square
meters that is covered with 612 reference points arranged in an equally
spaced grid.
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