Machine learning validated compact circularly polarized dual port-MIMO antenna with polarization diversity for ku-band applications

• Published in: Physica scripta Vol. 99; no. 9; pp. 95510 - 95522
• Main Authors: M N, Manjunath, Singh, Vivek, Dwivedi, Ajay Kumar, Pandey, Stuti
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.09.2024
• Subjects: diversity parameters; ku band; machine learning; MIMO; polarization diversity
• ISSN: 0031-8949; 1402-4896
• DOI: 10.1088/1402-4896/ad69de

Abstract A novel dual Port C-Shape MIMO broadband printed antenna with wide axial ratio bandwidth (ARBW) is modelled and built for Ku band Applications. The unit cell of the proposed antenna has a compact size of 25 × 26 × 0.8 mm 3 engraved on RT duriod 5880 material ( ε r = 2.2, thickness of 0.8 mm). The proposed model consists of C shaped radiator, plus symbol structure and a modified ground plane. The machine learning concept is used to investigate the dimensional dependency of the plus sign on the CP behaviour. The suggested antenna shows impedance bandwidth (−10 dB) and 3-dB ARBW of 6 GHz (12 GHz to 18 GHz) which is covering the whole Ku band. The diversity performance parameters and antenna parametric investigation is also carried out to justify the MIMO identity of the proposed design. The simulated and measured counterparts are found in harmony. The strength of the proposed antenna is its planar structure, wide ARBW, polarization diversity, and wide operating Ku bandwidth.