Research on adaptive filter of Orthogonal Frequency Division Multiplexing Signals Based on LMS Algorithm
DOI:
https://doi.org/10.61173/w3g33p42Keywords:
OFDM, LMS algorithm, adaptive filter, MATLAB, reducing signal interferenceAbstract
This research focuses on processing signals in orthogonal frequency division multiplexing (OFDM) systems, especially adaptive filter techniques for multipath effects and noise interference. By deeply discussing the application of the LMS algorithm in the OFDM system, this paper proposes an adaptive filter scheme founded upon the LMS algorithm, which adaptively changes filter parameters to increase signal transmission efficiency and speed. The principles of the LMS algorithm and that of the adaptive filter, as well as the applicability and performance of the filter in the OFDM system, are analyzed and studied. Simulation experiments are conducted by MATLAB for the purpose of verifying the efficiency of the proposed scheme in reducing signal interference and improving system performance. The results indicate adaptive filter technology founded upon LMS algorithm has a wide application prospect in OFDM system, and plays a strong support for the development of wireless communication technology.
References
[1] Almutairi, A.F., Krishna, A. Filtered-orthogonal wavelet division multiplexing (F-OWDM) technique for 5G and beyond communication systems. Sci Rep 12, 4607 (2022). https://doi. org/10.1038/s41598-022-08248-3
[2] Vishwaraj and L. Ali, “Hybrid MIMO-OFDM System for 5G Network Using VLC-A Review,” 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), Coimbatore, India, 2019, pp. 1-5, doi: 10.1109/ICECCT.2019.8869299.
[3] Ramteke S. B., Deshmukh A. Y. and Dekate K. N., “A Review on Design and Analysis of 5G Mobile Communication MIMO System with OFDM,” 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, 2018, pp. 542-546, doi: 10.1109/ICECA.2018.8474695.
[4] Garcia Armada, A. “Understanding the effects of phase noise in orthogonal frequency division multiplexing (OFDM),” in IEEE Transactions on Broadcasting, vol. 47, no. 2, pp. 153-159, Dean&Francis Haocheng Yu, Zhilin Yang, Yuliang Lin June 2001, doi: 10.1109/11.948268.
[5] Abuabed, A.S.A. Performance of Differential-Phase OFDM Systems over Selective Multipath Fading Channels. Electronics 2017, 6, 66. https://doi.org/10.3390/electronics6030066
[6] Shahzad, K., Wang, R. & Jamshid, J. A novel approach to geometric algebra-based variable step-size LMS adaptive filter algorithm. SIViP 18 (Suppl 1), 837–846 (2024). https://doi. org/10.1007/s11760-024-03196-z
[7] Ferrara, E. “Fast implementations of LMS adaptive filters,” in IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 28, no. 4, pp. 474-475, August 1980, doi: 10.1109/TASSP.1980.1163432.
[8] Sireesha, N., Chithra, K. and Sudhakar, T., “Adaptive filtering based on least mean square algorithm,” 2013 Ocean Electronics (SYMPOL), Kochi, India, 2013, pp. 42-48, doi: 10.1109/SYMPOL.2013.6701910.
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