基于移位协方差矩阵Otsu算法的信源数目估计

发布时间：2018-02-28 03:46

本文关键词： 信息处理技术信源数目估计移位协方差矩阵 Otsu类间方差法　出处：《吉林大学学报(工学版)》2017年04期 　论文类型：期刊论文

【摘要】：针对阵列信号处理中信号源数目估计的问题,提出了一种基于移位协方差矩阵的Otsu类间方差法。与协方差矩阵相比,移位协方差矩阵克服了噪声自相关过程中零位极大值的影响,提高了协方差矩阵的信噪比,移位协方差矩阵的信号特征值与噪声特征值差别更为明确,更有利于信源数目的估计。由于零均值且独立同分布噪声的移位协方差理论值为0,所以移位协方差矩阵针对零均值独立同分布α稳定分布噪声同样具有较强的抑制能力。利用Otsu类间方差法对移位协方差矩阵的特征值进行分类,可以更加明确地区分信号特征值与噪声特征值。理论分析和仿真实验结果均表明,基于移位协方差矩阵的Otsu类间方差法具有比传统信源数估计方法更好的估计性能。
[Abstract]:In order to solve the problem of estimating the number of signal sources in array signal processing, a method of Otsu inter-class variance based on shift covariance matrix is proposed. The shift covariance matrix overcomes the influence of the zero maximum in the process of noise autocorrelation and improves the signal-to-noise ratio of the covariance matrix. The difference between the signal eigenvalue and the noise eigenvalue of the shift covariance matrix is more clear. Because the shift covariance theory value of zero mean and independent same distribution noise is 0, the shift covariance matrix has strong suppression for zero mean independent same distribution 伪 stable distribution noise. The Otsu method is used to classify the eigenvalues of the shift covariance matrix. The theoretical analysis and simulation results show that the Otsu method based on shift covariance matrix has better estimation performance than the traditional source number estimation method.
【作者单位】：吉林大学通信工程学院;中广核研究院有限公司北京分公司;长春理工大学电子信息工程学院;
【基金】：国家自然科学基金项目(61571462) 国防基础科研计划项目(JCKY2016411C006)
【分类号】：TN911.7

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