基于一维噪声子空间的空间谱估计算法

针对ＭＵＳＩＣ算法在实际情况下，由于Ｒ的信号特征值发生所谓的＂能量泄漏＂而引起的性能下降，提出了一种新算法。算法的基本思想是，无论入射信号数为多少，始终认定只有阵列相关矩阵Ｒ的最小特征值λｍ才是噪声特征值；其对应的Ｒ的特征向量才是真正的噪声特征向量，并且构成一维噪声子空间。算法在减小运算量的同时，提高了在信号特征值能量发生泄漏的情况下对到达角估计的精度和分辨力。算法的思想同样适用于空间平滑等各种抗相干源算法。

A SPATIAL SPECTRUM ESTIMATION ALGORITHM BASED ON ONE-DIMENSION NOISE SUB-SPACE

A new spatial spectrum estimation algorithm is presented.The basic idea of the algorithm is that only the smallest eigenvalue of R is a noise eigenyalue and so is the eigenvector.So the dimension of noise space is always one.The accuracy and the resolution.of estimation of DOA by the use of the new algorithm are higher than those from MUSIC in the actual condition that some energy of signals eigenvalues leak to noise eigenvalues.The new concept can also be used to modify other spatial spectrum estimation algorithms such as spatial smooth algorithm used for dealing with coherent sources.