With the ever growing application requirements for wireless power transmission in recent years, use of Ultra High Frequency (UHF) band via passive RFID technology escalates quickly. However, limited read range and outdoor interference has always been a great obstacle for various RFID applications. Escalating power transmission at the tag to identify and amplify received power under flawless conditions of electromagnetic theory do not provide estimates of read-rates, which bring major limitations to RFID system performance. Therefore, discovering the reason behind these problems and assessing the performance of backscatter power to improve the system performance remains as a crying need. Implying radar cross section (RCS) mechanism into RFID can enhance the system performance at a larger extent, as passive RFID works same as radar at far field range by detecting backscatter signal from target object. Antenna radiation pattern and co located interference effect are vital considerations for RFID propagation mechanism and tag read range optimization. Consequently, the robust performance of transmitting and receiving antenna will provide a better RCS value when we get them in good agreement with experimental results. This thesis provides analytical framework for backscatter performance modeling and suggest techniques to enhance the efficiency of reader to tag to reader performance. It explores uncertainties associated with certain parameters like antenna far field radiation property, antenna spacing, optimal backscatter power and communication range, which implies scattering efficiency of the tag and establish a relationship between the measured and predicted values of tag read-rate probabilities. Comparing measurement patterns in both outdoor and in an-echoic chamber, finally it determines method to increase efficiency at power transmission and reception end. Obtained results will encourage the future researchers to design, analyze and enhance the backscattered passive RFID systems at a larger scenario.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hig-18169 |
Date | January 2014 |
Creators | Tohin, Md Razoun Siddiky |
Publisher | Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, Universidade de Aveiro |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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