Design of a dual-band microstrip antenna using particle swarm optimization with curve fitting

Citation

Tiang, Jun Jiat and Islam, Mohammad Tariqul and Misran, Norbahiah and Jit Singh, Mandeep (2014) Design of a dual-band microstrip antenna using particle swarm optimization with curve fitting. Annals of telecommunications - annales des telecommunications, 69 (11-12). pp. 633-640. ISSN 0003-4347

[img] Text
Design of a dual-band microstrip antenna using particle swarm optimization with curve fitting.pdf
Restricted to Repository staff only

Download (1MB)

Abstract

Radio frequency identification (RFID) is an automatic identification technology employing radio waves for detecting objects [1, 2]. 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) [3]. 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.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 19 Dec 2014 06:38
Last Modified: 19 Dec 2014 06:38
URII: http://shdl.mmu.edu.my/id/eprint/5864

Downloads

Downloads per month over past year

View ItemEdit (login required)