A DOA estimation algorithm based on equalization-cancellation theory (応用音響)

概要

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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-size array of microphones or cannot adapt to some special conditions, e.g., humanoid robot with the effect of head-related transfer function (HRTF). In this paper, we propose a two-microphone DOA estimation algorithm, namely EC-Beam which applies equalization-cancellation (EC) model into 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 remained 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 remained signal gets to minimum. Interpolation method is further exploited in EC-Beam to estimate non-beamformed directions. Experimental results showed that the EC-Beam with only two microphones is able to estimate much accurately the DOA of target signal in various noise conditions and well adapt to binaural hearing systems.
社団法人電子情報通信学会の論文
2010-06-03