Abstract
An artificial intelligence (AI) technique approach used for achieving better Polarization Conversion Ratio (PCR) of the novel L shape cross layout of polarization Conversion Metamaterial (PCM). Important dimensions of the PCM unit cell have used to get the relationship of the input-outputs for AI model. This work shows the analysis and designs of cross-polarization, co-polarization and PCR Ratio for frequency band between 5 to 10 GHz. The AI model is proposed to compute the magnitude variation of S-parameters of the PCM for different combinations. The AI model can be introduced to be as exact as an EM simulator and its computation more effective in the PCM design. The simulation work is done by the HFSS 15.0 and MATLAB software.
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Rav, R.P., Singh, O.P., Singh, A.K. (2023). Calculation of Polarization Conversion Ratio (PCR) of Proposed Polarization Conversion Metamaterials (PCM) is Employed in Reduction of RCS Using AI Techniques for Stealth Technology. In: Hasteer, N., McLoone, S., Khari, M., Sharma, P. (eds) Decision Intelligence Solutions. InCITe 2023. Lecture Notes in Electrical Engineering, vol 1080. Springer, Singapore. https://doi.org/10.1007/978-981-99-5994-5_10
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DOI: https://doi.org/10.1007/978-981-99-5994-5_10
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