An Efficient Multi-Source DOA Estimation Algorithm for Underdetermined System
An Efficient Multi-Source DOA Estimation Algorithm for Underdetermined System
复制标题
欠定系统高效多源DOA估计算法
DOI：
10.1109/iwaenc.2018.8521370
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Andy W. H. Khong
中科院分区：
文献类型：
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作者：
V. G. Reju;Rajan S. Rashobh;Anh H. T. Nguyen;Andy W. H. Khong
本文提出了一种两阶段算法，用于在多源环境下估计语音信号的到达方向（DOA），假设源信号在时频域（TF）是稀疏的。信号首先在每个频率仓中通过时频掩蔽从它们的混合物中分离。广义互相关方法随后被用于第二阶段，同时估计的源方向。所提出的算法不需要一个来解决的置换问题，是适合的，即使在欠定的情况下，源信号的数量大于传感器的数量。
We propose a two-stage algorithm for the estimation of direction-of-arrival (DOA) of speech signals in a multi-source environment under the assumption that the source signals are sparse in the time-frequency (TF) domain. The signals are first separated, in each frequency bin, from their mixtures via time-frequency masking. The generalized cross-correlation method is subsequently used in the second stage to simultaneously estimate the source directions. The proposed algorithm does not require one to solve the permutation problem and is suitable even for under-determined cases where the number of source signals is greater than the number of sensors.