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SE. WO. Yu, KW. MY. Jeon, DO. YU. Lee, and HO. KO. Kim, "Direction of Arrival Estimation of Multiple Sound Sources Based on Frequency-Domain Minimum Variance Distortionless Response Beamforming," Paper 9299, (2015 May.). doi: SE. WO. Yu, KW. MY. Jeon, DO. YU. Lee, and HO. KO. Kim, "Direction of Arrival Estimation of Multiple Sound Sources Based on Frequency-Domain Minimum Variance Distortionless Response Beamforming," Paper 9299, (2015 May.). doi:
Abstract: In this paper a method for estimating the direction-of-arrivals (DOAs) of multiple non-stationary sound sources is proposed on the basis of a frequency-domain minimum variance distortionless response (FD-MVDR) beamformer. First, an FD-MVDR beamformer is applied to multiple sound sources, where the beamformer weights are updated according to the surrounding environments for the reduction of the sidelobe effect of the beamformer. Then, multistage DOA estimation is performed to reduce computational complexity regarding the beam search. Finally, a median filter is applied to improve the DOA estimation accuracy. It is demonstrated that the average DOA estimation error of the proposed method is smaller than those of the methods based on conventional GCC-PHAT, MVDR-PHAT, and FD-MVDR, with lower computational complexity than that of the conventional FD-MVDR-based DOA estimation method.

@article{yu2015direction,
author={yu, seung woo and jeon, kwang myung and lee, dong yun and kim, hong kook},
journal={journal of the audio engineering society},
title={direction of arrival estimation of multiple sound sources based on frequency-domain minimum variance distortionless response beamforming},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},} @article{yu2015direction,
author={yu, seung woo and jeon, kwang myung and lee, dong yun and kim, hong kook},
journal={journal of the audio engineering society},
title={direction of arrival estimation of multiple sound sources based on frequency-domain minimum variance distortionless response beamforming},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={in this paper a method for estimating the direction-of-arrivals (doas) of multiple non-stationary sound sources is proposed on the basis of a frequency-domain minimum variance distortionless response (fd-mvdr) beamformer. first, an fd-mvdr beamformer is applied to multiple sound sources, where the beamformer weights are updated according to the surrounding environments for the reduction of the sidelobe effect of the beamformer. then, multistage doa estimation is performed to reduce computational complexity regarding the beam search. finally, a median filter is applied to improve the doa estimation accuracy. it is demonstrated that the average doa estimation error of the proposed method is smaller than those of the methods based on conventional gcc-phat, mvdr-phat, and fd-mvdr, with lower computational complexity than that of the conventional fd-mvdr-based doa estimation method.},}

TY - paper
TI - Direction of Arrival Estimation of Multiple Sound Sources Based on Frequency-Domain Minimum Variance Distortionless Response Beamforming
SP - EP -
AU - Yu, Seung Woo
AU - Jeon, Kwang Myung
AU - Lee, Dong Yun
AU - Kim, Hong Kook
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015 TY - paper
TI - Direction of Arrival Estimation of Multiple Sound Sources Based on Frequency-Domain Minimum Variance Distortionless Response Beamforming
SP - EP -
AU - Yu, Seung Woo
AU - Jeon, Kwang Myung
AU - Lee, Dong Yun
AU - Kim, Hong Kook
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015
AB - In this paper a method for estimating the direction-of-arrivals (DOAs) of multiple non-stationary sound sources is proposed on the basis of a frequency-domain minimum variance distortionless response (FD-MVDR) beamformer. First, an FD-MVDR beamformer is applied to multiple sound sources, where the beamformer weights are updated according to the surrounding environments for the reduction of the sidelobe effect of the beamformer. Then, multistage DOA estimation is performed to reduce computational complexity regarding the beam search. Finally, a median filter is applied to improve the DOA estimation accuracy. It is demonstrated that the average DOA estimation error of the proposed method is smaller than those of the methods based on conventional GCC-PHAT, MVDR-PHAT, and FD-MVDR, with lower computational complexity than that of the conventional FD-MVDR-based DOA estimation method.