| Citation: | Ruonan YANG, Weitao ZHANG, Shuntian LOU. Joint Blind Channel Estimation and Symbols Detection for SIMO-OFDM Systems Based on PARAFAC[J]. Journal of Electronics & Information Technology, 2019, 41(3): 551-555. doi: 10.11999/JEIT180432
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To solve the problem of the joint blind channel estimation and symbol detection for SIMO-OFDM systems, a PARAllel FACtor (PARAFAC) analysis model of the receive data matrix is established. Then, with the full row rank characteristic of the discrete Fourier transform matrix and the singular value decomposition of the receiving data matrix, a closed method is proposed for joint blind channel estimation and symbol detection. The proposed method has low computational complexity because it has no iteration. Furthermore, by the simultaneously calculated of channel and signals, the proposed method can avoid the performance reduction of signal estimation caused by channel estimation error. Simulation results show that the proposed method has lower computational complexity and better estimation performance compared with traditional methods.
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