Now showing 1 - 2 of 2
  • Publication
    A Flexible and Compact Metamaterial UHF RID Tag for Remote Sensing in Human Health
    ( 2020-08-01)
    Ainur Fasihah Mohd Fazilah
    ;
    ; ;
    Abbasi, Qammer Hussain
    ;
    Kabir Hossain
    ;
    ; ; ;
    Muhammad Ramlee Kamarudin
    ;
    Majid, Huda Ahmad
    ;
    Soh Ping Jack
    This paper presents a miniaturized UHF RFID tag antenna with increased gain using meander line techniques and metamaterial (MTM). The designed tag operates in the UHF RFID frequency band ranging from 860 to 960 MHz. It comprises of meandered lines with two hexagonal split ring resonators (H-SRRs) MTM cells. It is designed on a photo paper as its substrate which is 0.27 mm thick, with a dielectric constant of 3.2 and loss tangent of 0.05. Next, an RFID tag (NXP SL381213 UCODE G2iL chip) with an impedance of 23-j224 \Omega is integrated with the proposed antenna to assess its performance in terms of reflection coefficient, antenna gain and maximum reading range. The overall size of the tag is 92 mm x26 mm.
  • Publication
    Radiation pattern reconfigurable MIMO Antenna with practical DC bias network
    ( 2022-01-01)
    Jaya Bharath A/L Gopalakrishnan
    ;
    Thennarasan A/L Sabapathy
    ;
    ; ;
    Muhammad Ramlee Kamarudin
    ;
    Soh Ping Jack
    This paper presents a radiation pattern reconfigurable (RPR) based multiple-input multiple-output (MIMO) antenna. The proposed antenna operates at 3.5 GHz for all switching conditions with S21 results of less than -20 dB. This work specifically focuses on implementing a practical DC bias network for the previously proposed RPR-MIMO antenna. The DC bias design is crucial where the tilt angle is slightly affected. This could be due to the isolation loss and insertion loss provided by the actual switch; and the DC bias lines that were constructed using a few DC blocking capacitors and RF chokes. Finally, a comprehensive analysis was carried out to examine the beam steering performance of the antenna when implemented with the DC bias network.