Performance Analysis of ML-based Low Complex CFO Estimation for MIMO-OFDMA Uplink Systems
نویسندگان
چکیده
Carrier frequency offset (CFO) estimation in multiuser multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) system is investigated this study. MIMO-OFDM very sensitive to CFOs due oscillator mismatch and/or Doppler shift. Inaccurate CFO results intercarrier interference (ICI) through the loss of orthogonality among subcarriers. In paper, performance ML and APFE algorithm analyzed for estimation. becomes extremely complex multidimensional exhaustive search issue, which basic concern However, making use iterative low method, here replaced with a sequence mono-dimensional searches. This an reasonable complexity suitable practical applications. addition, accuracy compared Cramer-Rao bound (CRB).
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ژورنال
عنوان ژورنال: ECTI Transactions on Electrical Engineering, Electronics, and Communications
سال: 2022
ISSN: ['1685-9545']
DOI: https://doi.org/10.37936/ecti-eec.2022203.246952