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Rfid System Design And Collision Algorithm

Posted on:2008-03-21Degree:MasterType:Thesis
Country:ChinaCandidate:H J WangFull Text:PDF
GTID:2208360212478437Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
Radio Frequency Identification (RFID) is a kind of non-touching automatic identifying technology. RFID has unexampled advantages compared to barcode, such as reading information directly without touching; working under bad environment; penetrating objects; identifying many objects in few time. So RFID can implement real automated management. Now it has widespread application in a variety of domains,for example in the logistics management domain medical domain transportation domain, automobile security domain animal recognition domain identification recognition and so on,and now RFID has the trend of replacing barcode technology.This thesis focuses on the RFID system design and the anti-collision algorithm simulation. At the beginning, it carries on simple introduction to the RFID basic concepts prospects for development working principles correlative theories and key technologies. Then it mainly discusses one of key technologies-tag anti-collision algorithm,first it introduces existing algorithms,and concludes every kind of algorithm performance as well as its suitable situation,and then it carries on the simulation to ALOHA algorithm,and also improves algorithm according to project requirement, confirms the conclusion through MATLAB simulation. Finally it simply introduces software, hardware part of the product designing process and simultaneously it studies the present popular EPCGEN2 standard and carries on the system design to produce the standard product.At present the design and test work of the product (label has non-receiving function) has already completed. The test result proves the product can recognize above 300 targets in a second which can accord with simulation result.
Keywords/Search Tags:RFID, anti-collision algorithm, ALOHA algorithm, slotted ALOHA algorithm, EPCGEN2
PDF Full Text Request
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