【摘要】 为提高OFDM系统的传输效率,提出了一种利用接收信号的二阶统计特性实现信道盲估计的子空间算法.首先将OFDM信号分成3部分,利用循环前缀(CP)引入的信息冗余,对OFDM系统的传输方程作矩阵变换,得到一个信道矩阵为Toeplitz矩阵的新方程.基于此方程推导出信道估计的子空间算法.Toeplitz矩阵结构使算法的推导和实际的计算大为简化.该算法不需要改变OFDM系统结构,不受信道零点位置的限制,在信道过估计的情况下也适用.实验结果验证了算法的有效性.更多还原

【Abstract】 In order to increase the transmission efficiency,a subspace-based algorithm for blind channel estimation using second-order statistics is proposed in orthogonal frequency division multiplexing (OFDM) systems.Because the transmission equation of OFDM systems does not exactly have the desired structure to directly derive a subspace algorithm,the algorithm first divides the OFDM signals into three parts,then,by exploiting the redundancy introduced by the cyclic prefix (CP) in OFDM signals,a new equation with Toeplitz channel matrix is derived.Based on the equation,a new blind subspace algorithm is developed.Toeplitz structure eases the derivation of the subspace algorithm and practical computation.Moreover the algorithm does not change the existing OFDM system,is robust to channel order overdetermination,and the channel zero locations.The performances are demonstrated by simulation results.更多还原