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@article{178924,
        author = {Supesh Gawande and Shital Pawar and Ganesh Gaikwad and Gayatri Sangle},
        title = {Channel Estimation in MIMO Systems Using Pilot-Based Techniques and the MUSIC Algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {7092-7098},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178924},
        abstract = {In this paper, we propose an enhanced approach to channel estimation in MIMO (Multiple Input, Multiple Output) systems by combining pilot- based estimation techniques with the MUSIC (Multiple Signal Classification) algorithm. Channel estimation is a critical component in MIMO systems to improve data transmission reliability, but existing methods often struggle with noise sensitivity and resource constraints. To address these challenges, we employ pilot signals for channel estimation and utilize the MUSIC algorithm to accurately classify signals, even in noisy environments. Simulation results demonstrate that the proposed method significantly reduces the Mean Squared Error (MSE) compared to conventional Least Squares (LS) estimation, particularly in low Signal-to-Noise Ratio (SNR) conditions. The method provides improved accuracy and robustness in channel estimation, making it an effective solution for modern wireless communication systems.},
        keywords = {MIMO, channel estimation, pilot- based estimation, MUSIC algorithm, signal classification.},
        month = {May},
        }