An Enhanced Radio Tomographic Imaging Localization Method Based on Low-cost Wireless Sensor Networks

Abstract

As one of the main methods of device free localization (DFL) that can locate a target without attaching any devices, the radio tomographic imaging (RTI) method based on the low-cost wireless sensor network (WSN) has wide application prospects. The current RTI positioning methods mainly determine a target position by searching the maximum brightness pixel in a RTI map. However, due to the existence of environmental noises and interference, the brightness of the pseudo-target is often greater than that of the real target, resulting in a misjudgment of the target and even a great positioning error. In this paper, an enhanced RTI (E-RTI) positioning method that combines target shape features with the target brightness feature is proposed for overcoming this problem. This method can effectively reduce the negative influence of pseudo-targets and environmental noises by using the target shape prior information. The experimental results show that the positioning accuracy of this method is better than the existing RTI method.