2011/06/04 by Sayed A. Hadei, Hadei, Sayed A., Paeiz Azmi +1
Computer Science · Engineering · Mathematics · #Advanced Wireless Communication Techniques #Advanced Wireless Network Optimization #Wireless Communication Networks Research #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.1106.6271
18th IEEE International Conference on Telecommunications (ICT2011) Ayia Napa, Cyprus
arxiv created 2011/06/04 · arxiv updated 2015/03/19
In this paper, we propose novel low-complexity adaptive channel estimation techniques for mob ile wireless chan- n els in presence of Rayleigh fading, carrier frequency offsets (CFO) and random channel variations. We show that the selective p artial 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 th e proposed methods and demonstrate the usefulness of its via simulation studies.