INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract: The paper highlights the rapid evolution of wireless communication systems, prompting research to enhance performance by reducing the size of RF front-end systems. Micro-Strip Patch Antennas (MSPAs) play a pivotal role in various communication fields. The study proposes a novel Pyramidal Shaped Defect in Ground (DGS) Double Elliptical Micro-strip Patch Antenna (DEMPA) with inset feed for design flexibility. The Double-Elliptical Patch (DEP) is created by blending two half-elliptical patches, featuring the same major axis but different semi-minor axes. Inset feed is incorporated to enhance return loss (S11), and a pyramidal-shaped ground defect with inverted L slots improves antenna bandwidth. The proposed antenna spans the frequency range of 3 to 7 GHz, covering the C band and SUB6 band of the 5G spectrum. The novel shape achieves greater design flexibility and miniaturization, offering a remarkable return loss of -44dB at 4.3GHz and a far field total gain of 27dBm on its maximum side.
"Double Elliptical Patch (DEP) Antenna with Inset Feed And Pyramidal Shaped Ground For C Band Application", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b867-b876, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404206.pdf
Downloads:
00036
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn