为直角的频率部门 multiplexing 与的一条隧道评价途径多重输入、多重产量(MIMO-OFDM ) 在快速的褪色,隧道被建议。这条途径联合基于的一个最佳的训练序列的优点最少平方(OLS ) 算法和期望最大化(他们) 算法。在训练的块的隧道基于 OLS 算法用一个评估者被估计。为了为快瑞利补偿在数据褪色,堵住,一个时间领域基于 Gaussian 插值过滤器被介绍。而且,一个他们算法被介绍由一些重复改进隧道评价的表演。模拟证明这个隧道评价途径罐头有效地追踪快速的隧道变化。
A channel estimation approach for orthogonal frequency division multiplexing with multiple-input and multipleoutput (MIMO-OFDM) in rapid fading channels is proposed. This approach combines the advantages of an optimal training sequence based least-square (OLS) algorithm and an expectation-maximization (EM) algorithm. The channels at the training blocks are estimated using an estimator based on the OLS algorithm. To compensate for the fast Rayleigh fading at the data blocks, a time domain based Gaussian interpolation filter is presented. Furthermore, an EM algorithm is introduced to improve the performance of channel estimation by a few iterations. Simulations show that this channel estimation approach can effectively track rapid channel variation.