TY - GEN
T1 - Multichannel time delay estimation for acoustic source localization via robust adaptive blind system identification
AU - He, Hongsen
AU - Chen, Jingdong
AU - Benesty, Jacob
AU - Yang, Tao
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/19
Y1 - 2016/10/19
N2 - In the problem of acoustic source localization, time difference of arrival (TDOA) among multiple sensors is needed, which is often obtained through time delay estimation (TDE) techniques. Among the multiple TDE methods developed in the literature, the normalized multichannel frequency-domain least-mean-square (NMCFLMS) algorithm is shown robust to reverberation. The performance of this algorithm, however, deteriorates in non-Gaussian and low signal-tonoise ratio (SNR) Gaussian noise environments. In this paper, we re-derive a robust normalized multichannel frequency-domain leastmean- M-estimate (RNMCFLMM) algorithm to estimate TDOAs for acoustic source localization. The proposed algorithm exploits the non-sensitivity of an M-estimator to non-Gaussian noise and makes a tradeoff between the least-squares and least-absolute criteria to improve the robustness of TDE with respect to non-Gaussian and Gaussian noises. The effectiveness of the proposed algorithm is demonstrated in real acoustic environments.
AB - In the problem of acoustic source localization, time difference of arrival (TDOA) among multiple sensors is needed, which is often obtained through time delay estimation (TDE) techniques. Among the multiple TDE methods developed in the literature, the normalized multichannel frequency-domain least-mean-square (NMCFLMS) algorithm is shown robust to reverberation. The performance of this algorithm, however, deteriorates in non-Gaussian and low signal-tonoise ratio (SNR) Gaussian noise environments. In this paper, we re-derive a robust normalized multichannel frequency-domain leastmean- M-estimate (RNMCFLMM) algorithm to estimate TDOAs for acoustic source localization. The proposed algorithm exploits the non-sensitivity of an M-estimator to non-Gaussian noise and makes a tradeoff between the least-squares and least-absolute criteria to improve the robustness of TDE with respect to non-Gaussian and Gaussian noises. The effectiveness of the proposed algorithm is demonstrated in real acoustic environments.
KW - Acoustic source localization
KW - Microphone arrays
KW - Multichannel time delay estimation
KW - Robust normalized multichannel frequency-domain least-mean-Mestimate (RNMCFLMM)
UR - http://www.scopus.com/inward/record.url?scp=84997482001&partnerID=8YFLogxK
U2 - 10.1109/IWAENC.2016.7602927
DO - 10.1109/IWAENC.2016.7602927
M3 - 会议稿件
AN - SCOPUS:84997482001
T3 - 2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016
BT - 2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016
Y2 - 13 September 2016 through 16 September 2016
ER -