高速移动场景下OFDM系统的联合信道频响估计和数据检测算法

摘要

A joint channel frequency response (CFR) estimation and data detection algorithm for OFDM systems under high mobility conditions is proposed in the paper. A MMSE approximation of the CFR matrix is used to reduce the number of unknown parameters. To further reduce computational complexity, the proposed algorithm is based on the EM algorithm, which iteratively estimates the CFR matrix and unknown data. The simulations show that the proposed algorithm converges in about 3 iterations, and the BER is quite near the case when perfect CFR matrix is known at the receiver.%提出一种高速移动场景下OFDM系统的联合信道频响矩阵（CFR）估计和数据检测算法。使用CFR矩阵的MMSE近似模型减少未知参数量，并提出基于EM算法的迭代算法，求解联合CFR矩阵估计和数据检测问题。计算机仿真表明：该算法可以在较少的迭代次数下收敛，并且检测误比特率接近接收端已知理想信道状态的情况。