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Indoor Localization by Fusing a Group of Fingerprints Based on Random Forests
Recently, we first proposed a GrOup Of Fingerprints (GOOF) to improve the localization accuracy and reduce the burden of building fingerprints.
Indoor Localization Using Visible Light Via Fusion Of Multiple Classifiers
A multiple classifiers fusion localization technique using received signal strengths (RSSs) of visible light is proposed, in which the proposed system transmits different intensity modulated sinusoidal signals by LEDs and the signals received by a Photo Diode (PD) placed at various grid points.
Localization by Fusing a Group of Fingerprints via Multiple Antennas in Indoor Environment
We first build a GrOup Of Fingerprints (GOOF), which includes five different fingerprints, namely, RSS, covariance matrix, signal subspace, fractional low order moment, and fourth-order cumulant, which are obtained by different transformations of the received signals from multiple antennas in the offline stage.
