Radio tomographic imaging and tracking of stationary and moving people via kernel distance

摘要: Network radio frequency (RF) environment sensing (NRES) systems pinpoint and track people in buildings using changes the signal strength measurements made by a wireless sensor network. It has been shown that such can locate who do not participate system wearing any device, even through walls, because of moving cause to static However, many cannot stationary people. We present evaluate which or people, without calibration, kernel distance quantify difference between two histograms measurements. From five experiments, we show our distance-based tomographic localization performs better than state-of-the-art NRES different non line-of-sight environments.