| 一种鲁棒的基于子空间分解的盲信噪比估计方法 |
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| 引用本文： | 张金成,彭华.一种鲁棒的基于子空间分解的盲信噪比估计方法[J].数据采集与处理,2011,26(5):609-614. |
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| 作者姓名： | 张金成 彭华 |
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| 作者单位： | 解放军信息工程大学信息工程学院 郑州 450002 |
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| 基金项目： | 国家自然科学基金(61072046)资助项目 |
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| 摘 要： | 为解决原子空间分解算法中对信号和噪声子空间维数估计鲁棒性差的问题,根据信号的过采样率信息提出了一种新的构造自相关矩阵的方法,以减少矩阵内部数据间的相关性,从而达到提高信号和噪声子空间维数估计精度的目的.同时,针对利用最小描述距离(MDL)准则估计维数时,只能在有限信噪比范国内实现精确估计这一情况,采用噪声功率(NP)法...
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| 关 键 词： | 子空间分解 盲信噪比估计 自相关矩阵 噪声功率 |
Robust Blind SNR Estimation Method Based on Subspace Decomposition |
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| Zhang Jincheng,Peng Hua.Robust Blind SNR Estimation Method Based on Subspace Decomposition[J].Journal of Data Acquisition & Processing,2011,26(5):609-614. |
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| Authors: | Zhang Jincheng Peng Hua |
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| Affiliation: | Zhang Jincheng,Peng Hua(Institute of Information Engineering,Information Engineering University of PLA,Zhengzhou,450002 China) |
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| Abstract: | To solve the poor robustness problem of the signal and noise subspace dimension estimation in the subspace based algorithm,it uses the knowledge of oversampling rate and proposes a new method to built the autocorrelation matrix,which reduces the relevance of data in the matrix,thus improving the precision of the estimation.For the fact that the minimum distance length(MDL) criteria can only accurately estimates the dimension in limited signalto-noise ratio(SNR) scope,a noise power method is introduced to es... |
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| Keywords: | subspace decomposition blind signal-to-noise ratio(SNR) estimation autocorrelation matrix noise power |
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