Research On Monte Carlo-based RFID Indoor Positioning

As the fast developing of Radio Frequency Identification (RFID) and more widespread use of indoor positioning, the RFID indoor positioning deserves more attention. Compared with the traditional wireless indoor positioning technologies, the RFID indoor positioning has been the preferred method of wireless indoor positioning because of convenient deployment, high accuracy, and high environmental adaptability. Nowadays the study on the RFID indoor positioning technology is focused on the low systematic complexity, high accuracy, and high environmental adaptability. Based on the Monte Carlo algorithm, the RFID indoor positioning is fully investigated in this paper, and thus a competitive scheme is proposed. The main work in this dissertation can be summarized as follows:1. The Monte Carlo algorithm is employed in the RFID indoor positioning. In terms of the multipath interference in the RFID positioning environment, by predefining the sampling particles and then updating the positions of the sampling particles twice, the algorithm can form the particles around the real position. Therefore, the algorithm can achieve high accuracy of positioning and have the ability to fit the complex environment without sacrificing more complexity of the system.2. The calibration scheme of the RFID indoor positioning with two antennas is proposed for the typical RFID reader with two antennas (multi-antenna). By using the complementary or fusion calibration of the two antennas, the accuracy of the Monte Carlo-based RFID indoor positioning can be further improved.3. Some aspects related to the positioning accuracy of the Monte Carlo-based RFID indoor positioning, such as the tag deployment, the tag invalidation, the number of the sampling particles, the delay of the reader port and the turning radius, have been analyzed systematically. High accuracy and good environmental adaptability of the proposed scheme have been demonstrated in many ways. Besides, a RFID indoor positioning system has been constructed and the positioning experiment has been implemented to verify the practicality and effectiveness of the proposed algorithm.4. In terms of the RFID reader system offering the phase and the amplitude information of the signal, the Monte Carlo-based indoor positioning algorithm combined the phase or the amplitude respectively is further developed. The extent of the environment impact is represented by some parameters and the conditions of the indoor environment for using the scheme to further increase the positioning accuracy have been simulated and researched.