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首页> 外文期刊>Annales des Telecommunications >Design of a dual-band microstrip antenna using particle swarm optimization with curve fitting
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Design of a dual-band microstrip antenna using particle swarm optimization with curve fitting

机译:基于粒子群优化和曲线拟合的双频微带天线设计

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摘要

Radio frequency identification (RFID) is an automatic identification technology employing radio waves for detecting objects. Nowadays, RFID is widely used in many areas including asset tracking and real-time supply chain management. RFID relies on storing and retrieving information. The radiated wave energizes the IC chip to allow proper communication of data transfer between the RFID reader and the tag. Reader antenna is required to be low in profile yet provides wideband and high directivity characteristics in transmitting and receiving signal for data communication. In general, there are four frequency bands: low-frequency (LF) band (125 kHz), high-frequency (HF) band (13.56 MHz), ultra high-frequency (UHF) band (869, 915, and 950 MHz) and microwave band (2.45 and 5.8 GHz). The UHF and microwave bands are widely used due to their advantages of long read range and high data rate, it is desirable to design a single antenna which operates on both frequency bands.
机译:射频识别(RFID)是一种使用无线电波检测物体的自动识别技术。如今,RFID已广泛用于许多领域,包括资产跟踪和实时供应链管理。 RFID依赖于存储和检索信息。辐射波使IC芯片通电,从而可以在RFID阅读器和标签之间进行正确的数据传输通信。要求阅读器天线外形小巧,但在发送和接收数据通信的信号时要提供宽带和高方向性。通常,有四个频带:低频(LF)频带(125 kHz),高频(HF)频带(13.56 MHz),超高频(UHF)频带(869、915和950 MHz)和微波频段(2.45和5.8 GHz)。 UHF和微波频段由于具有读取范围长和数据速率高的优点而被广泛使用,因此希望设计一个在两个频段上均可工作的天线。

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  • 来源
    《Annales des Telecommunications》 |2014年第12期|633-640|共8页
  • 作者单位

    Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor 43600, Malaysia,Faculty of Engineering, Multimedia University, Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia;

    Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor 43600, Malaysia;

    Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor 43600, Malaysia;

    Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor 43600, Malaysia;

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