{"title":"Performance Analysis of FBMC-OQAM System for Barcode and QR Code Image Transmission","authors":"A. F. Isnawati, M. Afandi, J. Hendry","doi":"10.1109/IAICT50021.2020.9172034","DOIUrl":null,"url":null,"abstract":"Nowadays, the use of barcode and QR code has been very common. The implementation of barcode and QR code is not only to ease the identification and inventory of goods but it is also used for goods tracking, place tracking, document management, and others. The performance of FBMC-OQAM communication system for image transmission of barcode and QR code become important to be researched considering both image data input have different characteristics. This study uses Zero Forcing (ZF) equalization as a symbol detection. The result of the study shows that in general, the accepted image data on system which used ZF equalization is better than the other without using ZF. The result of simulation also showed BER on barcode image as much as 1.94e-03 and on QR code as much as 8.125e-05 which meant that the performance of QR code transmission system earns better result compared to barcode. Based on the reading process of the data by reader or scanner, it showed that barcode image needed higher SNR, that was 27 dB compared to QR code image that only needed SNR 20 dB. In addition, barcode image enables data misreading even though the reader or scanner could detect the code that was on SNR 19 dB, it is different from QR code which the result of image reading earned correct information if it reached threshold.","PeriodicalId":433718,"journal":{"name":"2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAICT50021.2020.9172034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Nowadays, the use of barcode and QR code has been very common. The implementation of barcode and QR code is not only to ease the identification and inventory of goods but it is also used for goods tracking, place tracking, document management, and others. The performance of FBMC-OQAM communication system for image transmission of barcode and QR code become important to be researched considering both image data input have different characteristics. This study uses Zero Forcing (ZF) equalization as a symbol detection. The result of the study shows that in general, the accepted image data on system which used ZF equalization is better than the other without using ZF. The result of simulation also showed BER on barcode image as much as 1.94e-03 and on QR code as much as 8.125e-05 which meant that the performance of QR code transmission system earns better result compared to barcode. Based on the reading process of the data by reader or scanner, it showed that barcode image needed higher SNR, that was 27 dB compared to QR code image that only needed SNR 20 dB. In addition, barcode image enables data misreading even though the reader or scanner could detect the code that was on SNR 19 dB, it is different from QR code which the result of image reading earned correct information if it reached threshold.