Thennarasan Sabapathy
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Preferred name
Thennarasan Sabapathy
Official Name
Thennarasan, Sabapathy
Alternative Name
Sabapathy, Thennarasan
Sabapathy, Thenna
Sabapathy, T.
Sapabathy, T.
Main Affiliation
Scopus Author ID
35424377200
Researcher ID
AAA-9706-2019

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  • Publication
    A Flexible and Compact Metamaterial UHF RID Tag for Remote Sensing in Human Health
    ( 2020-08-01)
    Ainur Fasihah Mohd Fazilah
    ;
    Muzammil Jusoh
    ;
    Thennarasan Sabapathy
    ;
    Abbasi, Qammer Hussain
    ;
    Kabir Hossain
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Mohd Najib Mohd Yasin
    ;
    Mohamed Nasrun Osman
    ;
    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.
      3  25
  • Publication
    Switchable Beam Antenna with Five Planar Element using PIN Diode in Elevation Plane
    ( 2020-09-28)
    Adan, Fuad Hassan
    ;
    Muzammil Jusoh
    ;
    Alaydrus M.
    ;
    Mohamed Nasrun Osman
    ;
    Thennarasan Sabapathy
    ;
    Awal M.R.
    ;
    Alomainy A.
    ;
    Kamarudin M.R.
    ;
    Mohd Najib Mohd Yasin
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Majid H.A.
    This work focuses on the switchable beam parasitic patch antenna for the point to point communication system. This concept gives more flexibility due to their ability to modify the radiation and providing multiple functionalities. This work focuses on two points directly to minimize the number of PIN Diode and to maximize its reconfiguration capabilities. First, the concept of two parasitic element is addressed. The mutual coupling effect between both driven and parasitic has manage to steer the beam to-28{\mathrm{o}}, \ 0{\mathrm{o}} and +28o different angles in a single layer. The design consists of four parasitic elements with full ground and four pin diode switch HPND-4005, five different directions have been reached which are-450,-30{\mathrm{o}}, \ 0{\mathrm{o}}+30{\mathrm{o}} and +450. The parasitic patch antenna has achieved high gain of 8. 92dBi at 5.8 GHz with the beam ability to steer unti145o for both side of the parasitic element.
      14  52
  • Publication
    A Fuzzy-Based Angle-of-Arrival Estimation System (AES) using Radiation Pattern Reconfigurable (RPR) antenna and modified gaussian membership function
    ( 2019)
    Mohd Ilman Jais
    ;
    Thennarasan Sabapathy
    ;
    Muzammil Jusoh
    ;
    R. Badlishah, Ahmad
    ;
    Mohd Haizal Jamaluddin
    ;
    Muhammad Ramlee Kamarudin
    ;
    Phak Len Al Eh Kan
    ;
    L. Murukesan Loganathan
    ;
    Soh Ping Jack
    Angle-of-arrival (AOA) estimation is an important factor in various wireless sensing applications, especially localization systems. This paper proposes a new type of AOA estimation sensor node, known as AOA-estimation system (AES) where the received signal strength indication (RSSI) from multiple radiation pattern reconfigurable (RPR) antennas are used to calculate the AOA. In the proposed framework, three sets of RPR antennas have been used to provide a coverage of 15 regions of radiation patterns at different angles. The salient feature of this RPR-based AOA estimation is the use of Fuzzy Inferences System (FIS) to further enhance the number of estimation points. The introduction of a modified FIS membership function (MF) based on Gaussian function resulted in an improved 85% FIS aggregation percentage between the fuzzy input and output. This later resulted in a low AOA error (of less than 5%) and root-mean- square error (of less than 8â—¦ ).
      1  26