基于灰建模的OFDM窄带慢衰落慢时变信道估计算法

针对OFDM窄带信道在移动传输环境下的慢时变特性, 提出了一种基于灰建模的信道估计算法. 该算法利用前一时刻的已知信道信息, 建立灰色数学模型, 预测估计下一时刻的未知信道信息, 实现信道的动态跟踪. 理论分析和仿真结果验证了灰建模在以二维时频变量描述的信道估计领域中的可行性. 与传统方法相比, 该算法不仅对窄带慢衰落慢时变信道有良好的估计性能, 而且具有运算低、频谱利用率高等优点.

Grey modeling based estimation for narrowband slow fading slowly time-varying OFDM channels

A novel grey modeling based estimation for narrow slow fading slowly time-varying OFDM channels in mobile environments is proposed. By establishing the grey model, the channel state information of the previous time-slot is utilized to dynamically predict the unknown channel state information of the subsequent time-slot. The feasibility of grey modeling applied for estimating the channel characterized by 2-D time-frequency variables is verified by both theoretical analysis and simulations. Compared with conventional channel estimation approaches, the proposed algorithm not only performs well in narrowband slow fading slowly time-varying channels, but also has low complexity and high spectrum efficiency.