A DOA estimation algorithm based on equalization-cancellation theory
A DOA estimation algorithm based on equalization-cancellation theory
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DOI：
10.21437/interspeech.2010-733
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发表时间：
2010-06
期刊：
影响因子：
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通讯作者：
D. Chau;Junfeng Li;M. Akagi
中科院分区：
文献类型：
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作者：
D. Chau;Junfeng Li;M. Akagi
到达方向估计在多通道（双耳）语音增强系统和听觉类人机器人中起着重要的作用。目前已经提出了许多定位方法，但大多数方法都需要大量的麦克风阵列，或者不能适应一些特殊的条件，例如具有头部相关传递函数（HRTF）作用的人形机器人。本文提出了一种双麦克风DOA估计算法，即ECBeam，该算法通过基于波束形成器的技术，将均衡-抵消（EC）模型应用于DOA估计。具体来说，EC模型被集成到波束形成中，以去除给定方向的信号分量，并产生来自其他方向的剩余信号的能量。通过在空间中搜索多个候选DOA，最终确定DOA的估计为剩余信号能量达到最小的方向。在ECBeam中进一步利用插值方法估计非波束形成方向。实验结果表明，双传声器的ec波束能够在各种噪声条件下准确估计目标信号的DOA，能够很好地适应双耳听力系统。
Direction of arrival (DOA) estimation plays an important role in multi-channel (binaural) speech enhancement systems and auditory humanoid robots. A number of localization methods have been presented, however, most of them require a large array of microphones, or cannot adapt to some special conditions, e.g., humanoid robot with the effect of headrelated transfer function (HRTF). In this paper, we propose a two-microphone DOA estimation algorithm, namely ECBeam, which applies equalization-cancellation (EC) model to DOA estimation through beamformer-based technique. Specifically, the EC model is integrated into beamforming to remove the signal components from a given direction and yield the energy of the remaining signals from other directions. Through searching several DOA candidates in the space, the estimation of DOA is finally determined as the direction at which the energy of the remaining signal reaches the minimum. Interpolation method is further exploited in ECBeam to estimate non-beamformed directions. Experimental results showed that the EC-Beam with only two microphones is able to estimate accurately the DOA of target signal in various noise conditions, and well adapted to binaural hearing systems.