三种修正的宽带信号子空间谱估计方法 |
| |
引用本文: | 冯西安,黄建国. 三种修正的宽带信号子空间谱估计方法[J]. 西北工业大学学报, 2004, 22(2): 183-187 |
| |
作者姓名: | 冯西安 黄建国 |
| |
作者单位: | 西北工业大学,航海学院,陕西,西安,710072 |
| |
摘 要: | 宽带子空间谱估计法存在着信号子空间维数扩展问题,给信号子空间和噪声子空间划分及子空间谱估计带来困难。本文提出了信号子空间维数估计法、噪声子空间加权法和扩展MUSIC法3种修正的子空间谱估计方法,它们均有效地解决了这一问题。信号子空间维数估计法用包含信号99.9%以上功率的特征值数目来估计信号子空间维数,正确地划分了子空间。噪声子空间加权法和扩展MUSIC法不用划分子空间,而是给噪声子空间特征向量或全空间特征向量加权,减小了子空间维数扩展的影响。计算机仿真验证了3种方法的有效性。
|
关 键 词: | 宽带子空间谱估计,子空间维数扩展,修正方法 |
文章编号: | 1000-2758(2004)02-0183-05 |
修稿时间: | 2003-03-31 |
On Overcoming Signal-Subspace Dimension Expanding in Wide-Band Signal-Subspace Spatial-Spectrum Estimator |
| |
Abstract: | A number of papers, including Refs.2 and 3 and dealing with wide-band signal-subspace spatial-spectrum estimation, have been widely accepted. However, they bring with them the problem of signal-subspace dimension expanding, which makes it difficult to make a correct division between signal-subspace and noise-subspace. We propose three different modified methods for overcoming signal-subspace dimension expanding. The first modified method, called by us the signal-subspace dimension estimation method, estimates signal-subspace dimension by a number of eigenvalues, which include 99.9% signal power; thus this method can make a correct division between the two subspaces. The other two modified methods do not even need to make a correct division between the two subspaces. Instead, these two methods, called by us weighted noise-subspace method and extended MUSIC method, reduce the effect of signal-subspace dimension expanding directly by using weighted eigenvectors in the noise-subspace or the entire space respectively. Computer simulation results show that all these modified methods overcome effectively the effect of signal-subspace dimension expanding of wide-band signal-subspace spatial-spectrum estimation and possess good statistical performance. |
| |
Keywords: | wide-band signal-subspace spatial-spectrum estimation signal-subspace dimension expending modified method |
本文献已被 CNKI 维普 万方数据 等数据库收录! |
|