Research On Efficient Identification Of Tags Using Multi-antenna RFID System

Radio frequency identification(RFID)technology,as one of the important basic technologies of Internet of Things technology,has been applied in defense,social,and economic fields,such as second-generation ID cards,logistics supply chain management,ETC(Electronic Toll Collection)etc.The emergence of multi-antenna technology makes the application of RFID technology more extensive.The signal coverage of the multi-antenna RFID system is wider,so this system can identify more tags in the same time,and the increase of tags makes the tag collision problem more serious.This problem reduces the recognition efficiency of the multi-antenna RFID system.In some practical applications,multi-antenna RFID systems are required to have high recognition efficiency.For example,in electronic registration identification of the motor vehicle system,that requires the RFID system to cover multiple lanes,and it also requires the identification of rapidly moving multiple electronic registration identification of the motor vehicle.The main research content of this dissertation is how to improve the recognition efficiency of multi-antenna RFID systems when there are many tags.The measure is to study the anti-collision algorithm in the multi-antenna multi-label scenario.The anti-collision algorithm in this paper consists of three parts:1.Using tag estimation algorithm to estimate the number of tags within the antenna range;2.According to the frame slot estimation algorithm to estimate the number of frame slots,there will be multiple tags at the same slot because of the tag will select the slot randomly,which is the tag collision problem;3.The method of blind source separation is used to solve the problem of tag collision.The blind source separation does not require prior knowledge to separate the blind signal,It can separate the blind signal only by observing signal.Therefore,BSS can be used toidentify the collision tag when tag collision occurs.The dynamic frame time slot estimation algorithm based on blind source separation is proposed in this paper,the multi-lane vehicle identification system based on electronic registration identification of the motor vehicle and an on-board parking system engineering scheme based on electronic registration identification of the motor vehicleare designed,According to the national standards for electronic registration identification of the motor vehicle put forward in December 2017.After simulation and verification,the proposed dynamic frame time slot estimation algorithm based on blind source separation has higher frame recognition rate and is suitable for multi-antenna multi-label scenarios.After analyzing and calculating the recognition speed of multi-lane and multi-vehicle identification systems and on-street parking systems based on electronic registration identification of the motor vehicle,this algorithm can fully meet the relevant index requirements of national standards for electronic registration identification of the motor vehicle and proves the engineering applicability of the algorithm initially.