基于平行因子分析的SIMO-OFDM系统盲信道与符号联合估计算法
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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(PAR-AFAC)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。
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.
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.
引文
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[6] CHANG Annchen. Using ICA to improve blind subspacebased 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.
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[10] 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.
[11] 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/ietcom.2010.0246.
[12]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.2017.03.008.LIN Heyun, YUAN Chaowei, and DU Jianhe. Channel estimation for OFDM systems via reduced-dimensionalPARAFAC method[J]. Journal of Beijing University of Posts and Telecommunications, 2017, 40(3):62-66. doi:10.13190/j.jbupt.2017.03.008.
[13]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.1146.2013.01327.HUANG 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.
[14] 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.
[15] 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.
[2] CHEN Weichang and CHUNG C. Spectrally efficient OFDM pilot waveform for channel estima,tion[J]. IEEE Transactions on Communications, 2017, 65(1):387-402.doi:10.1109/TCOMM.2016.2616859.
[3] HAMED H, OMIDI M J, HAMID S S, et al. Joint CFO and channel estimation in OFDM-based massive MIMC systems[C]. IEEE International Symposium onTelecommunications, Tehran, Iran, 2017:343-348. doi:10.1109/ISTEL.2016.7881837.
[4] 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.
[5] 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.
[6] CHANG Annchen. Using ICA to improve blind subspacebased 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.
[7] 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.
[8] 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.
[9] 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/ice.2006.255367.
[10] 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.
[11] 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/ietcom.2010.0246.
[12]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.2017.03.008.LIN Heyun, YUAN Chaowei, and DU Jianhe. Channel estimation for OFDM systems via reduced-dimensionalPARAFAC method[J]. Journal of Beijing University of Posts and Telecommunications, 2017, 40(3):62-66. doi:10.13190/j.jbupt.2017.03.008.
[13]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.1146.2013.01327.HUANG 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.
[14] 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.
[15] 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.