| 摘要: |
| 针对空间平滑MUSIC算法会降低阵列孔径且运算量较大的难题，提出了一种新算法。该算
法通过对矩阵最大特征值对应的特征向量进行矢量重排，可实现不损失阵列孔径的解相干处
理。再利用重构矩阵逆的高阶次幂来逼近真实的噪声子空间，可避免特征分解，降低了运算
量且不需信源先验数目。计算机仿真结果证实了算法的有效性。 |
| 关键词: 陈列信号处理 相干信号 方位估计 矢量重构 快速算法 |
| DOI： |
|
| 基金项目:陕西省自然科学基金资助项目（2010JQ80241） |
|
| Fast DOA Estimation of Coherent Signals without Knowing the Number of Sources |
| ZENG Yao-ping |
| () |
| Abstract: |
| A novel decorrelation algorithm that can eliminate the computation wit
hout having aperture loss is presented. Through vector reconstruction by eigenve
ctor of maximum eigenvalue, the algorithm can deal with coherent signals. By uti
liz
ing high order power of the inverse matrix, the noise subspace can be approxima
te without knowing the number of signals. At the same time, the computation of a
lgorithm is low because there is no eigendecomposition. Finally, the computer si
mulation confirms the validity of the proposed algorithm. |
| Key words: array signal processing coherent signal DOA estimation vector reconstruction fast algorithm |
