Cassegrain – antenna LTE waveform transmission and signal SDR platform based fuzzy logic membership optimization (Caltesdrflmo) using efficient image quality enhancement

Abstract This research presents CALTESDRFLMO, an integrated platform designed to improve wireless image transmission through the combined use of LTE waveforms, Software-Defined Radio (SDR), fuzzy logic optimization, and Cassegrain antenna architecture. In the proposed system, images are encoded using LTE waveforms and transmitted as segmented MAC Service Data Units via SDR hardware. Fuzzy logic is employed to intelligently optimize critical transmission parameters—including bandwidth, spectral efficiency, and bit error rate—by fine-tuning associated membership functions. Experimental evaluation demonstrates significant improvements in image quality, signal integrity, and reliability across diverse bandwidth conditions. The fuzzy-optimized framework notably reduces bit error rates and enhances spectral efficiency, confirming the robustness of the Cassegrain-assisted SDR transmission model. Overall, the CALTESDRFLMO platform delivers a high-efficiency and reliable solution for long-distance wireless image communication.