Optimal training signals for MIMO OFDM channel estimation
Optimal training signals for MIMO OFDM channel estimation
复制标题
DOI：
10.1109/twc.2006.1633369
复制
发表时间：
2004-11
期刊：
影响因子：
--
通讯作者：
H. Minn;N. Al-Dhahir
中科院分区：
文献类型：
--
作者：
H. Minn;N. Al-Dhahir
本文提出了MIMO OFDM系统中频率选择性信道估计的最优训练信号的一般类。离散傅立叶变换的基本性质被用来获得最佳的训练信号，使信道估计均方误差最小化。考虑单个和多个OFDM训练符号。提出了发射天线之间的几种最佳导频音分配，并将其分类为频分复用、时分复用、频域中的码分复用、时域中的码分复用及其组合。文献中所有现有的最优训练信号都是所提出的最优训练信号的特殊情况，并且我们的设计可以应用于仅导频方案以及导频数据复用方案。
This work presents general classes of optimal training signals for estimation of frequency-selective channels in MIMO OFDM systems. Basic properties of the discrete Fourier transform are used to derive the optimal training signals which minimize the channel estimation mean square error. Both single and multiple OFDM training symbols are considered. Several optimal pilot tone allocations among the transmit antennas are presented and classified as frequency division multiplexing, time division multiplexing, code division multiplexing in frequency-domain, code division multiplexing in time-domain, and combinations thereof. All existing optimal training signals in the literature are special cases of the presented optimal training signals and our designs can be applied to pilot-only schemes as well as pilot-data multiplexed schemes.