Underdetermined DOA Estimation via Independent Component Analysis and Time-Frequency Masking
Underdetermined DOA Estimation via Independent Component Analysis and Time-Frequency Masking
复制标题
通过独立分量分析和时频掩蔽进行欠定 DOA 估计
DOI：
10.1155/2010/450487
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发表时间：
2010
影响因子：
2.4
通讯作者：
Jancovic P
中科院分区：
文献类型：
--
作者：
Jancovic P
本文提出了一种欠定情况下的波达方向（DOA）估计算法。该算法以迭代方式执行估计，每次迭代由两步组成：首先通过独立分量分析估计主导源的DOA，然后通过时频掩蔽从混合中去除检测到的源。实验结果表明，该算法在真实的环境中，当麦克风数目为2，声源数目为3和4时，比两种欠定DOA估计算法具有更高的DOA估计精度。
This paper presents an algorithm for the estimation of the direction of arrival (DOA) in underdetermined situations, that is, there is more sources than sensors. The algorithm performs the estimation in an iterative manner, each iteration consists of two‐steps: first estimation of the DOA of a dominant source via the Independent Component Analysis and then removal of the detected source from the mixture via time‐frequency masking. Experiments, performed using speech signals mixed in real environment when only two microphones are used but three and four sources are present, demonstrate that the proposed algorithm can estimate the DOAs more accurately than two previously used underdetermined DOA algorithms.