Blind Cyclic Prefix-based CFO Estimation in MIMO-OFDM Systems

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Publication Date: 12/4/2023

Event: IEEE Global Communications Conference (Globecom 2023)

Reference: pp. 2531-2536

Authors: Nariman Torkzaban, NEC Laboratories America, Inc., University of Maryland, College Park; Mohammad A. Khojastepour, NEC Laboratories America, Inc.; John S. Baras, University of Maryland, College Park

Abstract: Low-complexity estimation and correction of carrier frequency offset (CFO) are essential in orthogonal frequency division multiplexing (OFDM). In this paper, we propose a low overhead blind CFO estimation technique based on cyclic prefix (CP), in multi-input multi-output (MIMO)-OFDM systems. We propose to use antenna diversity for CFO estimation. Given that the RF chains for all antenna elements at a communication node share the same clock, the carrier frequency offset (CFO) between two points may be estimated by using the combination of the received signal at all antennas. We improve our method by combining the antenna diversity with time diversity by considering the CP for multiple OFDM symbols. We provide a closed-form expression for CFO estimation and present algorithms that can considerably improve the CFO estimation performance at the expense of a linear increase in computational complexity. We validate the effectiveness of our estimation scheme via extensive numerical analysis.

Publication Link: https://ieeexplore.ieee.org/document/10437372

Secondary Publication Link: https://arxiv.org/pdf/2308.15650.pdf