基于波达方向的Steiner多天线信道估计算法

计算机科学 ›› 2013, Vol. 40 ›› Issue (5): 74-77.

基于波达方向的Steiner多天线信道估计算法

卢照敢,杨永强,马小飞,刘龙

河南财经政法大学计算机与信息工程学院郑州450002;河南财经政法大学计算机与信息工程学院郑州450002;河南财经政法大学计算机与信息工程学院郑州450002;西安理工大学自动化与信息工程学院西安710048

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受河南省科技厅基础与前沿技术研究计划项目(122300410380),河南省教育厅科学技术研究重点项目 (12A510001),陕西省教育厅产业化培育项目(2012JC19),西安市技术转移促进工程重大项目(CX12166)资助

Improved Steiner Multiple Antenna Channel Estimation Algorithm by Direction of Arrival

LU Zhao-gan,YANG Yong-qiang,MA Xiao-fei and LIU Long

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 针对多天线OFDM系统中时域信道训练符号采用非正化的数字序列而导致其矩阵求逆运算计算复杂度高的问题,采用多用户CDMA系统上行链路的信道训练符号设计方法,提出了多天线Steiner信道估计方法。该方法通过时域途径设计的训练符号,使所有发射天线的训练符号矩阵成为一个循环矩阵,从而接收机可用离散傅立叶变换矩阵进行对角化,避免了信道估计矩阵求逆运算。同时,根据Steiner初始信道估计分离出每条路径的有用信息,再用每条路径的空间冲激响应来估计该路径信号的波达方向(Direction of Arrival,DOA),去除天线间接收信号的相干性,有效地利用空间信息提高Steiner信道估计的精度。实验结果表明,通过估计接收信号在每个接收天线上的波达方向角,基于波达方向的Steiner估计算法,在QPSK调制模式下获得了近0.5dB的性能提升,而在16QAM调制方式下可获得近2dB的信噪比增益。

关键词: 多天线,OFDM,信道估计,波达方向

Abstract: In the multiple antenna OFDM systems,the non-orthogonal training sequences are usually used as the channel training sequences,which would lead to the matrix inversion operation with great complexity during the channel estimation process．So,the training symbols in multi-user CDMA uplinks was used for time channel training symbols in the multiple antenna OFDM systems,and the multiple antenna spatial channels could be evaluated according to the classical Steiner channel estimation algorithm．In fact,the training symbol matrix in transmit antenna is one circular matrix,which could be diagonalized by discrete Fourier transformation at receiver antenna,and the matrix inversion operation could also be avoided．Furthermore,based on the initial estimation results of Steiner algorithm,one could obtain the direction of arrival (DoA) for incidence waves at different multiple receiver antenna．These DoA information is further used to improve the Steiner algorithm．Numerical results show that the improved Steiner algorithm with DoA could obtain 0.5dB SNR improvement with QPSK modulation and 2dB SNR improvement with 16QAM modulation,when compared to that of original Steiner method.

Key words: Multiple antenna,OFDM,Channel estimation,Direction of arrival

卢照敢,杨永强,马小飞,刘龙. 基于波达方向的Steiner多天线信道估计算法[J]. 计算机科学, 2013, 40(5): 74-77. https://doi.org/

LU Zhao-gan,YANG Yong-qiang,MA Xiao-fei and LIU Long. Improved Steiner Multiple Antenna Channel Estimation Algorithm by Direction of Arrival[J]. Computer Science, 2013, 40(5): 74-77. https://doi.org/

参考文献

[1] Sarmadi N,Pesavento M．Closed-Form Blind MIMO Channel Estimation for OSTBCS:Resolving Ambiguities in Rotatable codes [A]∥Proceedings of 19th European Signal Processing Conference (EUSIPCO 2011) [C]．Barcelonn,Spain,2011:644-648
[2] Shin C,Heath R W,Powers E J．Blind Channel Estimation for MIMO-OFDM systems[J]．IEEE Transactions on Vechicular Technology,2007,56(2):670-685
[3] Bhalani J,Chauhan D,Kosta Y,et al.Novel Semi-blind Channel Estimation Schemes for Rayleigh Flat Fading MIMO Channels[J]．Int’l J．of Communications,Network and System Sciences,2011,4(9):578-584
[4] Yu Jung-lang,Lin Yin-cheng．Space-Time-Coded MIMO ZP-OFDM Systems:Semiblind Channel Estimation and Equalization [J].IEEE Transactions on Circuits and Systems I:Regular Papers,2009,6(7):1360-1372
[5] Van Zelst A,Schenk TCW．Implementation of a MIMO-OFDM-based wireless LAN system [J]．IEEE Transactions on Signal Processing,2004,52(2):483-494
[6] Jayakumari J．MIMO-OFDM for 4G Wireless Systems [J]．International Journal of Engineering Science and Technology,2010,2(7):2886-2889
[7] Daryasafar N,Ehyaee B．Evaluation of Channel Estimation Algorithms in MIMOOFDM Systems with Considering the Carrier Frequency Offset [J]．International Journal of Computer Science and Telecommunications,2012,3(5):15-22
[8] L Zhao-gan,W Lie-jun,Z Tai-yi,et al.A New Steiner Channel Estimation Method in MIMO OFDM Systems [J]．Information Technology Journal,2007,6:1238-1244
[9] Gupta P,Mehra D K．Simplified Semi-Blind Channel Estimation for Space-Time Coded MIMO-OFDM Systems[J]．Wireless Personal Communications,2012,62(3):497-515
[10] Torres V,Perez Pascual A,Sansaloni T,et al.Design and FPGA-Implementation of a High Performance Timing Recovery Loop for Broadband Communications[J]．Journal of Signal Processing Systems,2009,6(1):17-23
[11] 杨永立,刘建,朱光喜．基于小波块阈值降噪的OFDM系统信道估计算法[J]．计算机科学,2011,38(6):74-76
[12] Yang Gi-jung,Jung Yun-ho.Scalable FFT processor for MIMO-OFDM based SDR systems[A]∥Proceedings of the 5th IEEE international conference on Wireless pervasive computing (ISWPC’10)[C]．IEEE Press Piscataway,NJ,USA,2010:517-521
[13] 吴成恩,舒勤．一种新的基于训练序列的时域MIMO-OFDM信道估计方法[J]．计算机科学,2012,39(5):1835-1837
[14] Manasseh E,Ohno S,Nakamoto M．Combined channel estimation and PAPR reduction technique for MIMO-OFDM systems with null subcarriers [J]．EURASIP Journal on Wireless Communications and Networking,2012,201:15-31
[15] Chen Y-F,Lee Y-H,Hwang P-T．Adaptive Channel Estimation for Multiple Antenna OFDM Systems[J].Wireless Personal Communications,2011,59(2):331-343
[16] 赵德香,程云翔．TD-SCDMA系统中一种改进的子块处理信道估计方法[J].天津理工大学学报,2012,8(1):51-53
[17] 邓国辉,邵玉斌,夏腾飞．协作复用:在多天线中继网络中实现更高频谱效率的研究[J]．重庆理工大学学报:自然科学版,2011,25(12):94-99

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed