Research On Indoor Wireless Localization Technology Based On RFID

With the rapid development of science and technology,big data,cloud computing and the Internet of Things have created a new wave of technology in today's era.The Internet of Things brings humans into the era of connected objects.RFID technology has realized small size,non-contact recognition,long-distance communication,batch reading of data and large storage capacity.Such advantages have been widely concerned and applied.LBS also becomes more and more important.Indoor positioning technology has been widely used in large-scale storage,indoor fire rescue,valuable goods monitoring,medical management,subway tunnels,underground parking lots and other scenes.In this paper,an algorithm of indoor positioning for local updating of fingerprint database by region divis ion is designed by using RFID technology for the problem that the global updating cost of indoor positioning fingerprint database is too high and the frequency of fingerprint database updating cannot be controlled.RFID technology has been systematically studied.Then its working princ iple and communication process have been learnt and researched o n;Next,the standards of RFID technology has been leant to deepen cognition.Further,the popular application scenarios of RFID technology need to be familiarized with.Finally,analyzing the advantages and disadvantages of RFID technology is important.Due to the large number of advantages of RFID technologies,this article's indoor positioning algorithm determine to achieve based on RFID technology.Several common indoor positioning algorithms are studied from the definition of the algorithm,system composition,positioning princ iple,advantages and disadvantages and application scenarios.Then,the indoor positioning of RFID technology has been researched through both parameterization and non-parameterization.The researches and studies on these algorithms are systematically,which lays a solid foundation for the proposed algorithm.Finally,it studies the evaluation index of the indoor positioning scheme,and then proposes the evaluation index for verifying the proposed algorithm.The indoor location algorithm based on fingerprint database has been improved.The index of Effectiveness of Fingerprint Update Cost,EFUC has been proposed to derive that the influencing factors of affecting the update of the fingerprint database are the update frequency and the single update cost.So the improvement on the algorithm need to be studied through two aspects.This paper proposes a regionally partitioned local update fingerprint localization algorithm,named LWkNN algorithm.Above all,the algorithm divides the fingerprint map into several sub-regions according to the RSSI by clustering algorithm.Each sub-region selects one representative point to represent the validity of fingerprint of each sub-region.Before positioning,the validity of each representative point is detected: if it is valid,WkNN positioning is performed;if invalid,update the fingerprint database of the sub-region corresponding to the invalid representative point.The experimental simulation of the algorithm proposed in this paper are carried on.Experimental results show that the proposed algorithm not only greatly improves the positioning accuracy under low-cost conditions,but also adapts to different positioning environments and can maintain long-term positioning stability.