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• W4206266586 abstract "In this paper, we focus on the channel parameter estimation issue for millimeter wave (mmWave) massive multi-user multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. Exploiting the sparse scattering characteristic of the mmWave channel and multidimensional stucture, we propose a fast tensor-based channel estimation method. The proposed algorithm derives a real-valued PARAFAC tensor signal model by applying the forward-backward technology and unitary transformation. Compared with the traditional parallel factor (PARAFAC)-based algorithm, the proposed method provides a higher parameter estimation accuracy and lower computational complexity. Simulation results show the effectiveness of the proposed channel estimation algorithm." @default.
• W4206266586 created "2022-01-26" @default.
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• W4206266586 date "2021-10-13" @default.
• W4206266586 modified "2023-09-26" @default.
• W4206266586 title "A Fast Tensor-Based Channel Estimation Method in mmWave Massive MIMO-OFDM Systems" @default.
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• W4206266586 doi "https://doi.org/10.1109/icct52962.2021.9657941" @default.
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