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为提高现有MIMO-OFDM系统信道估计算法性能,降低算法运算的复杂性,提出一种基于变换域的MIMO-OFDM信道估计方法.该算法不需要任何信道统计信息,通过变换域内自适应低通滤波器降低了高斯白噪声和子载波间干扰对该估计算法准确度的影响,并且利用在变换域内得到的导频位置的信道估计结果,通过补零内插算法得到其他子载波位置的信道估计结果.仿真结果表明:该算法的误码率性能优于最小平方算法,稍逊于线性最小均方误差算法;该算法计算复杂度低,易于在实际系统中实现.
In order to improve the performance of the existing MIMO-OFDM system channel estimation algorithm and reduce the complexity of algorithm operation, a transform domain-based MIMO-OFDM channel estimation method is proposed, which does not need any channel statistics information, The filter reduces the influence of Gaussian white noise and inter-subcarrier interference on the accuracy of the estimation algorithm, and uses the channel estimation result of the pilot position obtained in the transform domain to obtain channel estimation results of other subcarrier positions through the zero-padding interpolation algorithm The simulation results show that the BER performance of the proposed algorithm is better than that of the least squares algorithm and less than the linear least mean square error algorithm. The proposed algorithm has low computational complexity and can be easily implemented in real systems.