自相关矩阵的时空二维估计方法

Sauce-Time Two Dimensional Estimation of Autocorrelation Matrix

当不相关信号源入射到均匀线阵，线阵阵元输出信号是空间广义平稳的，其自相关矩阵是赫尔米特托普尼兹矩阵。作者利用阵列信号的主间平稳性质，提出了自相关矩阵的时空二维估计方法。通过大量的模拟实验，验证了时空二维估计方法比常规的时间最大似然估计方法有明显的优越性，它以微弱的计算量换来了估计性能的大幅度改善。

When uncorrelated sources arrive at a uniform linear array,the received signals of the sensors are spatial stationary.The autocorrelation matrix is a Hermitian Toeplitz matrix.A new mathod space-time two-dimensional estimation of autocorrelation matrix is presented by using spatial stationary of the received signals in this paper. A lot of simulations prove that the space-time two dimensional estimation is more effective than time maximum-likelihood estimation, and althrough the Performance of estimation is improved greatly, but the calculation increases a little.