Abstract: With the continuous development of universal computing research,indoor localization technology has become a hot topic in current research.Advances in technology on RFID indoor positioning have made RFID deployed into a widely variety of indoor scenes.In order to improve the localization accuracy of indoor space,we proposed an RFID indoor symbolic localization method based on strategy of perception ruleset in constrained space.The algorithm uses the sign of the indoor space and defines the perception of the situation to establish the location rules,so that the algorithm has better adaptability in indoor space and can use smaller amount of RFID readers to achieve higher accuracy localization.In order to improve the localization accuracy,we proposed the concept of the perception ruleset and abstractly extracted the scene for the algorithm to further increase the localization accuracy.We finally performed experiments in constrained indoor corridors,and the results show that the proposed algorithm has higher performance not only on localization accuracy but also on anti-interference ability than existing algorithms.

Key words: RFID,Symbol position,Localization,Strategy,Constrained space