An improved three-point localization method based on RSS for transceiver separation RFID systems

The indoor localization problem is considered for the transceiver separation radio frequency identification (RFID) system suffering from random noises and multipath interference. An RSS difference method is presented to preprocess the measured RSS to reduce the complexity of system modeling. Then, an improved three-point localization algorithm is designed to estimate the target location. Specifically, two solutions based on 2-norm and non-convex optimization are respectively proposed to weaken the influence of the noises and multipath on positioning performance. The simulation results show that the proposed method can significantly improve the localization accuracy and provide satisfactory robustness in different indoor environments.