Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{184348,
        author = {Prashant A. Dhake and Varsha D. Yelmar and Dr. Magan P. Ghatule},
        title = {Design Optimization of Microstrip Patch Antenna Using Fuzzy Logic for S-Band Communication: AI Approach},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {986-993},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184348},
        abstract = {Satellite communication, mobile networks, Bluetooth, and WiFi demand compact, high-performance antennas in the S-band (2–4 GHz). Conventional Microstrip Patch Antenna (MSPA) designs struggle to optimize return loss, gain, and bandwidth simultaneously. This paper presents an intelligent optimization framework based on Artificial Intelligence (AI) and Fuzzy Logic (FL) to enhance S-band MSPA design. A fuzzy inference system adaptively adjusts key parameters such as patch dimensions, feed line size, substrate properties, and feed point position. Implemented in MATLAB, the Fuzzy Logic Controller (FLC) improves antenna performance, achieving at 2.4 GHz a return loss below –30 dB, bandwidth above 100 MHz, and gain up to 8.9 dBi. The proposed FL-based method outperforms traditional approaches, offering a robust and flexible tool for intelligent MSPA optimization.},
        keywords = {S-band, Microstrip Patch Antenna (MSPA), Fuzzy Logic (FL), Artificial Intelligence (AI), antenna optimization, MATLAB.},
        month = {September},
        }