基于误差修正的MIMO信道半盲估计方法

近年来，由于多输入多输出（MIMO）通信系统有传输速率高等许多优点，受到人们的重视。在本文中，提出了一种MIMO信道估计的方法，利用了已知训练序列和全部的数据帧信息，通过估计值的误差对信道参数作进一步的调整，只需使用较短的训练序列即可避免陷入局部最小，从而提高了信息传输速率和信道估计的鲁棒性，提高了估计的精度，而且具有较低的计算复杂度。

Semi-blind MIMO channel identification based on error adjustment

Multiple input multiple output (MIMO) systems have been held of much account over the last decade because of high system capacity. In this paper, we propose an error-adjustment scheme for semiblind channel estimation. The algorithm consists of a two-step iteration to achieve even better performance. The initial channel estimate is computed using a variant of cyclic prefix (CP): the Know Symbol Padding Only technique. Then the estimate error of the received symbol is used to adjust the initial channel estimation. Computer simulations show that the proposed algorithm offers good estimation behavior for MIMO systems.