| 基于整体最小二乘的单次快拍线性预测空域谱估计方法分析 |
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| 引用本文： | 黄德双.基于整体最小二乘的单次快拍线性预测空域谱估计方法分析[J].系统工程与电子技术,1991(11). |
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| 作者姓名： | 黄德双 |
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| 作者单位： | 西安电子科技大学电子工程研究所 |
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| 摘 要： | 本文基于时间域前、后向线性预测方程,利用整体最小二乘方法来分析单次快拍空域谱估计问题。这种方法同时考虑数据矩阵与观察矢量噪声扰动的影响,所以,在低信噪比情况下,性能优于MUSIC等大多数高分辨空域谱估计方法。另外,由于它利用了数据矩阵奇异值分解技术,所以,对相干信号源也能实现良好分辨。本文摸拟实验结果证明了这一点。
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| 关 键 词： | ~+线性预测 最小二乘方法 频谱分析 信息处理 |
An Analysis of Single Snapshot Linear Prediction Spatial Spectrum Estimation Based on Total Least Square Method |
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| Huang DeshuangInstitute of Electronic Engineering,Xidian University,Xi'an.An Analysis of Single Snapshot Linear Prediction Spatial Spectrum Estimation Based on Total Least Square Method[J].System Engineering and Electronics,1991(11). |
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| Authors: | Huang DeshuangInstitute of Electronic Engineering Xidian University Xi'an |
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| Institution: | Huang DeshuangInstitute of Electronic Engineering,Xidian University,Xi'an,710071 |
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| Abstract: | This paper, on the basis of time domain forward and backward linear prediction equation, utillizes the total least square method to analyse single snapshot spatial domain spectrum estimation. This method considers both the effects of the noise perturbation of the data matrixs and the observed vectors so that its performances are better than most high resolution methods analogous to MUSIC's for lower power ratio of signal and noise. In addtion, thanks to utilizing data matrixs singular value decomposition (SVD) technique, this method is able to excellently resolve coherent signal sources, which are certificated by simulation results in this paper. |
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| Keywords: | Linear prediction Total least square Singular value decomposition Noise subspace |
| 本文献已被 CNKI 等数据库收录！ |
