MIMO-OFDM系统中一种链式加权LS信道估计算法

刘刚; 葛建华; 郭漪

doi:10.3724/SP.J.1146.2008.00470

MIMO-OFDM系统中一种链式加权LS信道估计算法

doi: 10.3724/SP.J.1146.2008.00470

基金项目:

高等学校学科创新引智计划(B08038)，广东省-国家自然科学基金委联合基金(U0635003)和陕西省自然科学基金(2007F07)资助课题

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出版历程
- 收稿日期: 2008-04-22
- 修回日期: 2009-03-02
- 刊出日期: 2009-07-19

A Chain Weighted Averaging LS Channel Estimation for MIMO-OFDM Systems

摘要

摘要: 该文对多输入多输出正交频分复用系统中的信道估计进行研究，提出了一种链式加权LS信道估计算法。该算法基于频域正交循环导频序列，首先采用LS算法获得信道响应初始估值，然后对不同时刻的信道初值进行链式加权改善信道估值。由于循环导频结构保证了任何发射天线在训练周期内所有载波位置都有导频符号可供参考，该算法能够有效地抑制载波边界效应，提高信道估计的精度；同时它不需要信道先验信息以及矩阵求逆运算，因而实现简单。
- 正交频分复用;多输入多输出;循环导频序列;边界载波;信道估计
Abstract: Channel estimation for MIMO-OFDM systems is investigated, and a chain weighted averaging LS channel estimation algorithm is proposed. Based on the FDM circular pilot sequence, the new algorithm obtains a temporal channel estimation using LS algorithm, and improves the estimation performance by weighted averaging. The circular pilot structure and weighted averaging effectively decreases the effect of the carrier edges on the systems performance. Furthermore, avoiding the inversion of a large matrix, the new algorithm can be easily realized.

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参考文献(1)

Song Won-Gyu and Lim Jong-Tae. Channel estimation andsignal detection for MIMO-OFDM with time varyingchannels [J]. IEEE Communications Letters, 2006, 10(7):540-542.[2]Jeon Won Gi, Park Kyung Hyun, and Cho Yong Soo.Two-dimensional MMSE channel estimation for OFDMsystems with transmitter diversity [C]. IEEE VehicularTechnology Conference, Rhodes Island, Greece, 2006, Vol 3:1682-1685.[3]Minn H, Kim D I, and Bhargava V K. A reduced complexitychannel estimation for OFDM systems with transmitdiversity in mobile wireless channels [J]. IEEE Transactionson Communications, 2005, 50(5): 799-807.[4]Yi Gong and Khaled Ben Letaief. Low complexity channelestimation for space-time coded wideband OFDM systems[J]. IEEE Transactions Wireless Communications, 2005, 2(9):876-882.[5]刘刚, 郭漪, 葛建华等. MIMO-OFDM系统中的一种新的低代价信道估计方法[J]. 西安电子科技大学学报, 2005, 32(5):772-776.Liu Gang, Guo Yi, and Ge Jian-hua. A new low-cost channelestimation method for MIMO-OFDM systems [J]. Journal ofXidian University, 2005, 32(5): 772-776.[6]Li Y, Seshadri N, and Ariyavisitakul S. Channel estimationfor OFDM systems with transmitter diversity in mobilewireless channels [J]. IEEE Journal of Selected Areas inCommunications, 2004, 17(3): 461-471.[7]Shin Myeongcheol, Lee Hakju, Lee Chungyong, and YounDae Hee. A new training symbol structure to enhance theperformance of channel estimaton for MIMO-OFDM systems[C]. IEEE ICASSP, Paris France, 2003, Vol. 4: 397-400.[8]Hlaing Minn and Al-Dhahir N. Optimal training signals forMIMO OFDM channel estimation [J].IEEE Transactions onWireless Communications.2006, 5(5):1158-1168[9]Barhumi I, Leus G, and Moonen M. Optimal training designfor MIMO-OFDM systems in mobile wireless channels [J].IEEE Transactions on Signal Processing.2003, 51(6):1615-1624

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