Innovative Channel Estimation Method for Rayleigh, Rician, and Nakagami Channels: The Modified M-Estimator-I

Abstract

In modern wireless communication, achieving higher data rates, reliability, and spectral efficiency necessitates advanced transmission technologies. These technologies face challenges from unpredictable wireless propagation environments, particularly channel fading, which causes signal strength variations. Accurate channel estimation techniques are crucial for adapting transmission parameters to current channel conditions and optimizing performance. Orthogonal Frequency Division Multiplexing (OFDM) mitigates multipath propagation effects, and Multiple-Input Multiple-Output (MIMO) technology enhances capacity and reliability. The combined MIMO-OFDM framework relies on precise channel estimation, but traditional methods often fail in dynamic, complex channels. This research introduces a novel channel estimation technique, termed Modified M-estimator-I, which provides enhanced accuracy and resilience in estimating channel state information. Building on robust statistical estimation principles, the Modified M-estimator-I adapts to channel variations, offering more reliable performance across Rayleigh, Rician, and Nakagami fading environments. This innovative approach addresses the limitations of conventional estimators by incorporating advanced statistical methodologies to mitigate outliers and noise, thus optimizing the estimation process in diverse fading conditions.