ORCID
https://orcid/org/0000-0003-4247-5154
Abstract
Orthogonal frequency division multiplexing (OFDM) systems face challenges in channel estimation due to noise, variability, and the doubly dispersive nature of wireless channels, which degrade performance. To address these challenges, a multichannel minimum variance double dispersive channel estimator is proposed. The method employs a hybrid approach that combines subspace and minimum variance techniques, optimizing the filter bank output power under a signal-to-noise ratio (SNR) constraint. This design preserves the desired signal while effectively suppressing disturbances, achieving robust performance with reduced computational complexity compared to existing methods. Simulation results demonstrate that the proposed estimator outperforms subspace and asymptotic methods in terms of normalized mean square error (NMSE) and bit error rate (BER), particularly under low SNR and frequency-selective conditions. These findings highlight its potential for enhancing spectral efficiency and data integrity in advanced OFDM-based communication systems.
Recommended Citation
Ibwe, K. S. (2025). Improved Minimum Variance Channel Estimation Techniques for OFDM Systems. Tanzania Journal of Engineering and Technology, 43(4), 93-107. https://doi.org/https://doi.org/10.52339/tjet.v43i4.1029
Publisher Name
University of Dar es Salaam
Included in
Databases and Information Systems Commons, Numerical Analysis and Computation Commons, Other Operations Research, Systems Engineering and Industrial Engineering Commons, Structural Engineering Commons, Systems and Communications Commons