Broadband source direction estimation using a circular array

Y. Rockah, H. Messer
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引用次数: 5

Abstract

The problem of estimating directions of multiple broadband sources using the eigenstructure of the tempospatial data covariance matrix (TSCM) is dealt with. K.M. Buckley and L.J. Griffiths (1986) suggested that, similarly to the narrowband case, the eigenstructure of this covariance matrix can be used to estimate the signal-only (or noise-only) subspace and then use it for direction estimation. However, even for a single source and a given arbitrary array geometry, the eigenvalues of the signal-only tempospatial covariance matrix (TSCM), and therefore its effective rank, depend on the source direction as well as on its spectral level. This leads to serious difficulties in the implementation of Buckley and Griffiths' algorithm. The authors show here that by using a special array geometry, namely a two dimensional circular array, the eigenvalues of the signal-only TSCM for one source are practically independent of the source direction. Based on this property, they suggest a more feasible algorithm for parameter estimation of multiple broadband sources using an array of circular geometry.<>
使用圆形阵列的宽带源方向估计
研究了利用时空数据协方差矩阵(TSCM)特征结构估计多宽频源方向的问题。K.M. Buckley和L.J. Griffiths(1986)提出,与窄带情况类似,该协方差矩阵的特征结构可用于估计仅信号(或仅噪声)子空间,然后将其用于方向估计。然而,即使对于单个信号源和给定的任意阵列几何形状,仅信号时空协方差矩阵(TSCM)的特征值及其有效秩取决于信号源方向及其谱电平。这给Buckley和Griffiths算法的实现带来了严重的困难。作者在这里表明,通过使用一种特殊的阵列几何形状,即二维圆形阵列,一个源的仅信号TSCM的特征值实际上与源方向无关。基于这一特性,他们提出了一种更可行的算法,用于使用圆形几何阵列对多个宽带源进行参数估计。
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