A new method based on column vector average of the autocorrelation matrix without eigendecomposition is presented to estimate the channel vector.
本文提出一种基于相关矩阵列矢量平均的信道估计算法,该算法不需要特征分解或跟蹤。
We analyses the different result of PCA by using autocorrelation matrix and covariance matrix, and point out that the express of PCA is different but the error are the same.
分析了用协方差矩阵和自相关矩阵得出的PCA表达是不同的,但是两者的误差是相同的。
In order to yield high resolution, the high-order autocorrelation matrix is used, the number of the operations for the estimation of frequency and power is tremendous.
为了达到高分辨率而采用高阶相关矩阵,谱估计的运算量十分大。
A method extracting multiple target feature by the eigenvalues decomposition of target echo autocorrelation matrix is presented.