Paper Info
Title
Multichannel time delay estimation for acoustic source localization via robust adaptive blind system identification
Abstract
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-to-noise ratio (SNR) Gaussian noise environments. In this paper, we re-derive a robust normalized multichannel frequency-domain least-mean-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.
Year
DOI
Venue
2016
10.1109/IWAENC.2016.7602927
2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)
Keywords
Field
DocType
Acoustic source localization,microphone arrays,robust normalized multichannel frequency-domain least-mean-M-estimate (RNMCFLMM),multichannel time delay estimation
Normalization (statistics),Reverberation,Computer science,Algorithm,Speech recognition,Robustness (computer science),Gaussian,Multilateration,System identification,Gaussian noise,Acoustic source localization
Conference
ISBN
Citations 
PageRank 
978-1-5090-2008-9
2
0.38
References 
Authors
10
4
Name
Order
Citations
PageRank
Hongsen He1234.89
Jingdong Chen21460128.79
Jacob Benesty31386136.42
Tao Yang421.05