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Adaptive Iteration Methods for Blind Carrier Frequency Estimation in Multi‐User OFDMA Systems
Author(s) -
Cheng NanHung,
Wang YiFan,
Chen YungFang,
Tseng ShuMing
Publication year - 2021
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.23357
Subject(s) - carrier frequency offset , computer science , subspace topology , orthogonal frequency division multiple access , algorithm , computational complexity theory , orthogonal frequency division multiplexing , mathematical optimization , frequency offset , mathematics , telecommunications , artificial intelligence , channel (broadcasting)
Subspace‐based blind carrier frequency offset (CFO) estimation algorithms in orthogonal frequency division multiple access (OFDMA) systems have been developed in the literature. However, the algorithms have some restrictions or require high computational complexity. In this paper, we propose simple iteration schemes to reduce complexity with an adaptive manner and present a time‐variant CFO adaptive estimation method. In the first part of the proposed algorithm, with initial rough estimated CFOs, it employs iterative methods to obtain CFO estimates. And the second part is to use proposed adaptive process to obtain the updated CFO estimation and track the parameters' time‐variations. The simulation results demonstrate the efficacy of the proposed iteration and adaptive schemes and the mean squared errors are near to the Cramer‐Rao bounds. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.