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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60084

Multi-Objective Optimization of Microstrip Patch Antenna using Particle Swarm Optimization

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60084

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem60084

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MDS

Mrs. D. Shirisha

A

A.Tejaswi

U

U.Likitha

N

N.Maithri

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Abstract

A microstrip patch antenna is a low-profile, lightweight antenna widely used in wireless communication systems. It consists of a radiating metallic patch on one side of a dielectric substrate and a ground plane on the other. These antennas are easy to fabricate and integrate with printed circuit boards. They are commonly used in mobile devices, satellite communication, and radar systems. This project proposes design and implementation of microstrip patch antenna using conventional methods there are some disadvantages such as narrow bandwidth, low gain, low efficiency etc. the proposed design can be optimized using Particle Swarm Optimization (PSO) To overcome these limitations, for wideband performance at 10.5 GHz. The optimization aims to enhance return loss, bandwidth, and gain, addressing the limitations of conventional microstrip antennas. The proposed antenna will show improved bandwidth, higher gain, and better return loss, making it suitable for X- band wireless

KEYWORDS

PSO Algorithm antenna design simulation HFSS wireless communication

Cite This Article

Mrs. D. Shirisha, A.Tejaswi, U.Likitha, N.Maithri, "Multi-Objective Optimization of Microstrip Patch Antenna using Particle Swarm Optimization," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/ijsrem60084

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Publication Date

4/13/2026

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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