Affiliations: School of Information Science and Engineering, Hunan International Economics University, Changsha, China
Corresponding author: Lu Yan and Ding Xiong, School of Information Science and Engineering, Hunan International
Economics University, Changsha, postcode 410205, China. E-mails: firstname.lastname@example.org (L. Yan) and email@example.com (D. Xiong).
Abstract: In order to improve the positioning accuracy of indoor robots, a new positioning method has been designed based on passive RFID. In this paper, RFID beacon is arranged as cellular model, the card reader efficiency is improved. RSSI positioning method correction model is put forward with engineering practice, the optimal value problem is solved with multiple beacons in positioning process. Differential Evolution algorithm is introduced, physical verification is designed within the scope of (4×4) m2, the experiment results show that the absolute error is less than 10.16 cm. Compared with the standard genetic algorithm, the optimal value can be obtained in the smaller iteration step, 37% less computation time has saved.
Keywords: Radio Frequency Identification (RFID), mobile robot, indoor localization, Differential Evolution algorithm (DE), Received Signal Strength Indication (RSSI)