一种快速的空时二维谱估计算法

A Fast Algorithm of Spatial-temporal 2-D Spectrum Estimation

为了减少算法运算量,将多级维纳滤波器引入空时二维谱估计中,提出了一种快速算法。快速算法通过简单的乘加运算得到噪声子空间,无需对空时阵列协方差矩阵进行特征根分解,更加易于硬件实现。仿真结果表明快速算法与原二维算法性能相当。

The multi-stage Wiener filter(MSWF)is introduced to spatial-temporal 2-D spectrum estimation to reduce the computation cost,and a fast algorthm is proposed.The fast algorithm can be used to acquire the noise subspace by simple multiplication and addition operations,which does not need to perform Eigen values decomposition on the space-time array covariance matrix,and is easier to implement in hardware.Simulation results show that the performance of the fast algorithm is equivalent to that of the original 2-D algorithm.