RSSI Measurements for RFID Tag Classification in Smart Storage Systems
| Autor: | Bernardo Tellini, Paolo Nepa, Alice Buffi, Andrea Michel |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Chipset
Computer science classification tech-niques 02 engineering and technology Electronic Product Code Signal RFID-based smart storage spaces Set (abstract data type) 0202 electrical engineering electronic engineering information engineering Radio-frequency identification ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Electrical and Electronic Engineering Closing (morphology) Instrumentation Antenna near-field region business.industry 020208 electrical & electronic engineering Antenna near-field region classification tech-niques radio frequency identification (RFID) tag classification received signal strength indicator (RSSI) measurements RFID tag indoor localization RFID-based smart drawers RFID-based smart storage spaces UHF-RFID measurements 020206 networking & telecommunications received signal strength indicator (RSSI) measurements radio frequency identification (RFID) tag classification RFID-based smart drawers UHF-RFID measurements Antenna (radio) RFID tag indoor localization business Computer hardware |
| Popis: | This paper presents a measurement method for tagged item classification in radio frequency identification (RFID)-based smart drawers. Specifically, the amplitude of the signal backscattered by the UHF-RFID passive tags attached to the items inside the drawer is used to identify at which of an assigned set of drawer subregions each detected tag belongs to. The received signal strength indicator (RSSI) may be acquired by almost any UHF-RFID commercial reader chipset compatible with the Electronic Product Code (EPC) Class1 Gen2 protocol. The RSSI model in terms of the position of the tag inside the drawer is introduced, and its selective properties are discussed through both numerical data and measurements. The cases of a single reader antenna measuring during natural opening/closing operations as well as of multiple reader antennas measuring when the drawer is static are investigated. The measurement method performance is shown through an experimental analysis in a realistic scenario, where the RSSI values are collected by using commercial UHF-RFID hardware components, and then used as the feature vector of the classification algorithm. As an example, two different classifiers are used to map each detected tag to one of the regions that the drawer is subdivided into. The classification performance of the method based on a single antenna exploiting the drawer natural sliding movements is comparable to that achievable with multiple reader antennas, while representing a cost-effective and easy-to-implement practical solution. |
| Databáze: | OpenAIRE |
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