Subspace-Based Method for Near-Field Source Localizationin Presence of Complicated Noise
首发时间:2018-04-16
Abstract:In this paper, we consider the problem of estimatingthe directions-of-arrival (DOAs) and ranges of multiple nearfieldnarrowband signals impinging on a symmetric uniformlinear array (ULA) in presence of complicated noise (e.g., in nonuniform noise) in practical applications.By forming a Toeplitz-like correlation matrix from the antidiagonalelements of the array covariance matrix, a new subspace-basedlocalization method is proposed, where the null space is obtainedthrough eigendecomposition of the resultant Toeplitz-like matrix,and the MUSIC method is used to estimate the locationparameters. Finally,the effectiveness of the proposed method is verified throughnumerical examples.
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基于子空间技术的复杂噪音环境下的近场信号源定位
摘要:本文针对复杂噪音环境下的近场信号源定位问题,提出了一种基于子空间的信号源定位方法。该方法有效了阵列结构的对称性,借助输出数据的协方差矩阵的特殊性,构造了一种新的Teoplitz矩阵,最后使用MUSIC算法有效的估计出了信号波达方向角度和距离参数。
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