Kalman smoothing-based adaptive frequency-domain channel estimation for uplink multiple-input multiple-output orthogonal frequency division multiple access systems
Kalman smoothing-based adaptive frequency-domain channel estimation for uplink multiple-input multiple-output orthogonal frequency division multiple access systems
复制标题
基于卡尔曼平滑的上行多输入多输出正交频分多址系统自适应频域信道估计
DOI：
10.1049/iet-com.2009.0821
复制
发表时间：
2011
影响因子：
1.6
通讯作者：
Gao J
中科院分区：
文献类型：
--
作者：
Gao J
针对时变信道下的上行多输入多输出（MIMO）正交频分多址（OFDMA）系统，研究了基于卡尔曼平滑（KS）的频域信道估计方法。在高信噪比（SNR）的情况下，KS信道估计算法的性能明显优于递归最小二乘（RLS）信道估计算法，因为它能更有效地利用信号信息。此外，信道插值是用来提高信道估计精度，通过利用相邻子载波之间的相关性。建议的KS信道估计器也可以实现误比特率（BER）的性能，这是接近的情况下，完美的信道状态信息（CSI）的训练开销只有5%。
This study investigates Kalman smoothing (KS)-based frequency-domain channel estimation for uplink multiple-input multiple-output (MIMO) orthogonal frequency division multiple access (OFDMA) systems with time-varying channels. The proposed KS channel estimation scheme significantly outperforms the recursive least squares (RLS) channel estimation in the high signal-to-noise ratio (SNR) range, because of more effective exploitation of the signal information. In addition, channel interpolation is employed to improve the channel estimation accuracy by exploiting the correlation between adjacent subcarriers. The proposed KS channel estimator can also achieve a bit error rate (BER) performance which is close to the case with perfect channel state information (CSI) with a training overhead of only 5%.