Joint Blind Channel Estimation and Symbols Detection for SIMO-OFDM Systems Based on PARAFAC
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摘要:
针对SIMO-OFDM系统下的信道估计和符号检测问题，该文建立了接收数据矩阵的平行因子分析(PARAFAC)模型，利用PARAFAC模型中离散傅里叶变换矩阵的行满秩特性，结合数据矩阵的奇异值分解，提出了一种信道与符号联合盲估计的闭式求解方法。由于提出的求解方法无须进行迭代便可以完成信道估计和符号检测，因此其计算复杂度低，此外，利用PARAFAC模型实现信道和符号的同时计算，避免了因信道估计误差导致的符号误码率性能下降问题。仿真结果表明，与传统方法相比提出的方法计算复杂度更低，估计性能更好。
Abstract: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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ANAS S, ARAFAT A D, ABDALLAH S, et al. One-shot blind channel estimation for OFDM systems over frequency-selective fading channels[J]. IEEE Transactions on Communications, 2017, 65(12): 5445–5458. doi: 10.1109/tcomm.2017.2740925 CHEN Weichang and CHUNG C. Spectrally efficient OFDM pilot waveform for channel estimation[J]. IEEE Transactions on Communications, 2017, 65(1): 387–402. doi: 10.1109/TCOMM.2016.2616859 HAMED H, OMIDI M J, HAMID S S, et al. Joint CFO and channel estimation in OFDM-based massive MIMO systems[C]. IEEE International Symposium on Telecommunications, Tehran, Iran, 2017: 343–348. doi: 10.1109/ISTEL.2016.7881837. YUAN Zhengdao, ZHANG Chuanzong, WANG Zhongyong, et al. An auxiliary variable-aided hybrid message passing approach to joint channel estimation and decoding for MIMO-OFDM[J]. IEEE Signal Processing Letters, 2017, 24(1): 12–16. doi: 10.1109/LSP.2016.2632180 KIM J G, OH J H, and LIM J T. Subspace-based channel estimation for MIMO-OFDM systems with few received blocks[J]. IEEE Signal Processing Letters, 2012, 19(7): 435–438. doi: 10.1109/LSP.2012.2197201 CHANG Annchen. Using ICA to improve blind subspace-based channel estimation for OFDM system under unknown noise fields[J]. International Journal of Electronics and Communications, 2015, 69(1): 449–454. doi: 10.1016/j.aeue.2014.08.013 FANG Shihhao, CHEN Juya, LIN Jingshiun, et al. Blind channel estimation for CP/CP-free OFDM systems using subspace approach[C]. Proceeding of IEEE Vehicular Technology Conference, Glasgow, UK, 2015: 1–5. doi: 10.1109/VTCSpring.2015.7145717. GAO Feifei and NALLANATHAN A. Subspace-based blind channel estimation for SISO, MISO and MIMO OFDM systems[C]. IEEE International Conference on Communications, Istanbul, Turkey, 2006: 3025–3030. doi: 10.1109/icc.2006.255268. GAO Feifei and NALLANATHAN A. Blind channel estimation for OFDM systems via a generalized precoding[J]. IEEE Transactions on Vehicular Technology, 2007, 56(3): 1155–1164. doi: 10.1109/icc.2006.255367 NOH S and SUNG Y. A new precoder design for blind channel estimation in MIMO-OFDM systems[J]. IEEE Transactions on Wireless Communications, 2014, 13(12): 7011–7024. doi: 10.1109/glocom.2013.6831582 ZHANG Xiaofei, WANG Fei, and XU Dazhuan. Blind signal detection algorithm for MIMO-OFDM systems over multipath channel using PARALIND model[J]. IET Communications, 2011, 5(5): 606–611. doi: 10.1049/iet-com.2010.0246 林和昀, 袁超伟, 杜建和. OFDM系统中基于降维PARAFAC模型的信道估计方法[J]. 北京邮电大学学报, 2017, 40(3): 62–66. doi: 10.13190/j.jbupt.2017.03.008LIN Heyun, YUAN Chaowei, and DU Jianhe. Channel estimation for OFDM systems via reduced-dimensional PARAFAC method[J]. Journal of Beijing University of Posts and Telecommunications, 2017, 40(3): 62–66. doi: 10.13190/j.jbupt.2017.03.008 黄敏, 李兵兵. 基于整体最小二乘的联合信道估计及OFDM信号检测算法[J]. 电子与信息学报, 2014, 36(6): 1448–1453. doi: 10.3724/SP.J.1146.2013.01327HUANG Min and LI Bingbing. Joint channel estimation and OFDM signals detection based on total least square[J]. Journal of Electronics &Information Technology, 2014, 36(6): 1448–1453. doi: 10.3724/SP.J.1146.2013.01327 LEE T J and KO Y C. Channel estimation and data detection in the presence of phase noise in MIMO-OFDM systems with independent oscillators[J]. IEEE Access, 2017, 5(99): 9647–9662. doi: 10.1109/ACCESS.2017.2709325 JOMON K C and PRASANTH S. Joint channel estimation and data detection in MIMO-OFDM using distributed compressive sensing[J]. Radioelectronics & Communications Systems, 2017, 60(2): 80–87. doi: 10.3103/s0735272717020029 -
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