Direction of Arrival Estimation using Eigenanalysis of the Parameterized Spatial Correlation Matrix
Direction of Arrival Estimation using Eigenanalysis of the Parameterized Spatial Correlation Matrix
复制标题
使用参数化空间相关矩阵的特征分析估计到达方向
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
S. Affes
中科院分区：
文献类型：
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作者：
J. Dmochowski;J. Benesty;S. Affes
近年来，随着摄像机自动转向和多方立体声电话会议等应用进入市场，一个或多个声源的到达方向(DOA)估计是一个引起人们极大兴趣的领域。基于到达时间差(TDOA)的方法只使用两个麦克风计算每个相对延迟，即使通常有额外的麦克风可用，因此会受到背景噪声和混响的影响。研究了基于空间谱估计的波达方向估计，提出了一种新的基于参数空间相关矩阵特征值的波达方向估计方法。仿真结果证实了该方法即使在强混响环境下也能提供可靠的估计。
The estimation of the direction-of-arrival (DOA) of one or more acoustic sources is an area that has generated much interest in recent years, with applications like automatic video camera steering and multi-party stereophonic teleconferencing entering the market. Time-difference-of-arrival (TDOA) based methods compute each relative delay using only two microphones, even though additional microphones are usually available, and thus suffer from the effects of background noise and reverberation. This paper deals with DOA estimation based on spatial spectral estimation, and proposes a novel DOA estimator based on the eigenvalues of the parameterized spatial correlation matrix. Simulation results confirm the ability of the proposed method to provide reliable estimates even in heavily reverberant environments.