基于循环正交序列和广义AIC的信道估计

doi:10.3969/j.issn.1001-2400.2010.03.009

J4 ›› 2010, Vol. 37 ›› Issue (3): 436-440+486.doi: 10.3969/j.issn.1001-2400.2010.03.009

基于循环正交序列和广义AIC的信道估计

李丹萍;张海林

(西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071)

收稿日期:2009-10-27 出版日期:2010-06-20 发布日期:2010-07-23
通讯作者: 李丹萍
作者简介:李丹萍(1981-)，女，西安电子科技大学博士研究生，E-mail: dpli@mail.xidian.edu.cn．
基金资助:
国家自然科学基金资助项目(60772137);高等学校创新引智计划资助项目(B08038)

Generalized AIC based channel estimation using circularly orthogonal sequences

LI Dan-ping;ZHANG Hai-lin

(State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an 710071， China)

Received:2009-10-27 Online:2010-06-20 Published:2010-07-23
Contact: LI Dan-ping

摘要/Abstract

摘要：

设计了一种适合多入多出单载波频域均衡(MIMO-SCFDE)系统的循环正交训练序列，并提出相应的时域信道估计算法．利用训练序列理想的自相关性与互相关性，不仅能够抑制天线间的干扰，而且可以有效降低噪声的方差．在得到时域信道估计的基础上，通过广义Akaike信息准则(GAIC)进一步确定各多径时延值并保留有效子径，从而提高了信道估计的精度．稀疏MIMO信道环境下的仿真结果表明，基于循环正交序列和GAIC的算法能够有效地减少噪声对信道估计的影响，显著降低了信道估计的均方误差．

关键词: 信道估计, 循环正交序列, 广义Akaike信息准则, 多入多出, 单载波频域均衡

Abstract:

Circularly orthogonal training sequences are designed for multiple-input multiple-output single carrier frequency domain equalization (MIMO-SCFDE) systems, which can be used in time-domain channel estimation. By using the perfect auto-correlation and cross-correlation properties of the training sequences, the proposed algorithm not only suppresses the interference between the antennas but also reduces the variance of the additive white Gaussian noise. Then the time delay of each subpath can be determined by using the generalized Akaike information criterion (GAIC), which helps to further improve the accuracy of the channel estimaton. Simulation results in sparse MIMO channels show that the GAIC based channel estimation algorithm using circularly orthogonal sequences can decrease the effect of noise on the channel estimation and reduce the mean square error greatly.

Key words: channel estimation, circularly orthogonal sequences, generalized Akaike information criterion, MIMO, SCFDE

李丹萍;张海林. 基于循环正交序列和广义AIC的信道估计[J]. J4, 2010, 37(3): 436-440+486.

LI Dan-ping;ZHANG Hai-lin. Generalized AIC based channel estimation using circularly orthogonal sequences[J]. J4, 2010, 37(3): 436-440+486.

参考文献

[1]Zhu Y, Ben L K. Single-carrier Frequency-domain Equalization with Noise Prediction for MIMO Systems[J]. IEEE Trans on Communications, 2007, 55(5): 1063-1076. [2]Zhang J, Zheng R Y. Improved Frequency Domain Channel Estimation and Equalization for MIMO Wireless Communications[J]. International Journal of Wireless Information Networks, 2009, 16(1):12-21. [3]刘刚, 郭漪, 葛建华. MIMO-OFDM系统中的最优化训练序列设计[J]. 西安电子科技大学学报, 2008, 35(6): 978-982. Liu Gang, Guo Yi, Ge Jianhua. Optimal Training Design for MIMO-OFDM Systems[J]. Journal of Xidian University, 2008, 35(6): 978-982. [4]Yang Y, Chew Y, Tjhung T. Frequency-domain Channel Frequency Response Estimation for Space-time Coded MIMO Systems[C]//IEEE International Conference on Communications. Istanbul: IEEE, 2006: 3123-3129. [5]Ahn K, Baik H. Training-based Channel Estimation and Equalization for Space-time Block-coded Systems over Frequency-selective Fading Channels[C]//VTC2004-Fall: Vol 3. Los Angeles: IEEE, 2004: 1748-1752. [6]Chu D. Polyphase Codes with Good Periodic Correlation Properties[J]. IEEE Trans on Inform Theory, 1972, 18(4): 531-532. [7]许国平, 张欣, 杨大成. 一种低复杂度的MIMO-OFDM信道估计新方法[J]. 电子与信息学报, 2008, 30(4): 797-800. Xu Guoping, Zhang Xin, Yang Dacheng. New MIMO-OFDM Channel Estimation Algorithm with Low Complexity[J]. Journal of Electronics ＆ Information Technology, 2008, 30(4): 797-800. [8]Li H, Liu D, Stoica P. Channel Order and RMS Delay Spread Estimation with Application to AC Power Line Communications[J]. Digital Signal Processing: a Rev J, 2003, 13(2): 284-300. [9]Raghavendra M R, Giridhar K. Improving Channel Estimation in OFDM Systems for Sparse Multipath Channels[J]. IEEE Signal Processing Letters, 2005, 12(1): 52-55. [10]Zamiri-Jafarian H, Omidi M J, Pasupathy S. Improved Channel Estimation Using Noise Reduction for OFDM Systems[C]//IEEE VTC 2003-Spring. Jeju: IEEE, 2003: 1308-1312. [11]何剑, 王永生, 张岳彤. 基于Akaike信息论准则的无人机OFDM信道估计算法[J]. 电路与系统学报, 2009, 14(1): 77-81. He Jian, Wang Yongsheng, Zhang Yuetong. UAV Communication Channel Estimation Methods for OFDM System Based on Akaike Information Criterion[J]. Journal of Circuits and Systems, 2009, 14(1): 77-81.

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基于循环正交序列和广义AIC的信道估计

Generalized AIC based channel estimation using circularly orthogonal sequences

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