Abstract
Device-free localization (DFL) is a technology that deploys a set of sensor nodes around a certain area to determine a target's location without requiring the target to be equipped with any device. Localization is done using Radio Tomographic Imaging (RTI), the process of imaging the attenuation or changes in the RSS measurements caused by the objects within the sensor network. Most of the works on RTI-based DFL only made use of a single transmit power level to be able to estimate a target's location. This paper proposes a multidimensional technique that combines channel diversity and transmit power diversity to improve the localization accuracy of RTI. With an average localization error of 0.36m, multidimensional RTI-based DFL performs better than multichannel DFL.
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