Effective RFID Localization Based on Fuzzy Logic For Security

The protection of people's safety is often achieved by relying on high-precision localization, and the demand for accurate indoor localization services has continued to grow. Especially, RFID localization has become a research hotspot for scholars. For the method of using the ranging model to realize RFID localization, when in an ideal radio frequency propagation environment, the observed RFID signal strength is directly related to the distance between the reader and the tag. Therefore, by using range information related to multiple reference tags, the reader can be clearly located in space. However, simply using the distance between the localization point and the reader obtained by the path propagation model to calculate the localization will produce a large localization error. In fact, the path propagation model reflects the general trend of signal propagation, and the corresponding model parameters need to be calculated based on the distance between the localization and the reader. For this reason, this paper proposes the localization using ranging in segment area based on fuzzy logic (RFL). The RFL method uses fuzzy logic to obtain the weights of localization belonging to different segments, and then constructs the propagation model of different segments and obtains the coordinates under this model. Finally, the segment weights calculate the final coordinates. The experiments show that RFL is superior to the maximum likelihood estimation and simple signal propagation model.