一种有效的MIMO-OFDM系统MAP信道估计

对于MIMO-OFDM系统，最大后验概率(MAP)信道估计算法可通过期望最大化(EM)算法降低计算复杂度，但将产生误差平底(error floor)现象。并且，系统的数据传输效率受限于发送端天线的数目。针对这些问题，该文提出了一种有效的MAP信道估计算法，并分析了算法的性能。所提算法在利用EM算法减小MAP 算法计算复杂度的基础上，利用角域内信道间的独立性降低估计误差。为改善系统数据传输效率及估计性能，通过多个OFDM符号进行联合的信道估计。仿真实验验证了所提算法拥有更好的估计性能和数据传输效率。

An Effective MAP Channel Estimation for MIMO-OFDM Systems

For Multiple-Input Multiple-Output with Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems, Maximum A posteriori Probability (MAP) channel estimation algorithm uses expectation maximum (EM) algorithm to reduce complexity, but it will lead to error floor phenomenon. The data transmission efficiency of systems is subject to the number of transmit antennas. According to these problems, in this paper, an effective MAP algorithm is proposed and its performance is analyzed. The proposed algorithm lowers the estimated error depending on the spatial independence of MIMO channels in angle domain on the basis of making use of EM algorithm to decrease the complexity. To improve the data transmission efficiency and the performance of estimation, joint estimation is carried out over multiple OFDM symbols. Simulation results indicate the proposed algorithm obtains better estimated performance and higher data transmission efficiency.