Low-complexity adaptive channel estimation over multipath Rayleigh fading non-stationary channels under CFO

In this paper, we propose novel low-complexity adaptive channel estimation techniques for mobile wireless channels in presence of Rayleigh fading, carrier frequency offsets (CFO) and random channel variations. We show that the selective partial update of the estimated channel tap-weight vector offers a better trade-off between the performance and computational complexity, compared to the full update of the estimated channel tap-weight vector. We evaluate the mean-square weight error of the proposed methods and demonstrate the usefulness of its via simulation studies.