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International Journal of Advanced Computer Research (IJACR)

ISSN (Print):2249-7277    ISSN (Online):2277-7970
Volume-13 Issue-65 December-2023
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Paper Title : Performance analysis of a hybrid OFDM-MIMO multiresonator system: synchronization, CFO estimation, and return loss evaluation
Author Name : Ankit Sharma and Sadbhawana Jain
Abstract :

The dynamic landscape of wireless communication technologies demands innovative solutions to overcome synchronization challenges, carrier frequency offset (CFO)-induced interference, and impedance mismatches. This research presented a novel approach by developing a hybrid orthogonal frequency-division multiplexing-multiple-input, multiple-output (OFDM-MIMO) multiresonator system. Recent studies indicate the critical importance of addressing synchronization errors and CFO-induced interference in communication systems. Although OFDM and MIMO techniques enhance data transmission, challenges arising from CFO and synchronization discrepancies can affect system performance. This research aims to contribute a comprehensive solution integrating OFDM, MIMO, and multiresonator frameworks to tackle signal degradation and reduced transmission efficiency. CFO-induced interference is a significant challenge, negatively impacting transmitted signal quality, and timing discrepancies can lead to synchronization errors, detrimentally affecting overall performance. Impedance mismatches pose a risk of signal reflections, contributing to decreased transmission efficiency. The motivation for this research arises from the need for robust communication systems in the face of these challenges. Our objectives include analyzing CFO's impact, developing synchronization methods, and evaluating return loss and impedance matching to enhance overall system efficiency.
Keywords : OFDM-MIMO, Multiresonator system, Synchronization errors, CFO-induced interference, Impedance matching.
Cite this article : Sharma A, Jain S. Performance analysis of a hybrid OFDM-MIMO multiresonator system: synchronization, CFO estimation, and return loss evaluation. International Journal of Advanced Computer Research. 2023; 13(65):104-111. DOI:10.19101/IJACR.2023.1362031.
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