DocumentCode :
2699000
Title :
A Robust Source Localization Algorithm Applied to Acoustic Sensor Network
Author :
Yi Jiang ; Azimi-Sadjadi, Mahmood R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
Volume :
3
fYear :
2007
fDate :
15-20 April 2007
Abstract :
The problem of source localization using distributed acoustic sensor networks is considered in this paper. The acoustic sensors detect and estimate the time of arrival (TOA) of the acoustic transient emitted from a source of interest. The estimated TOA estimates are then transmitted to a base station for collaborative source localization. In realistic scenarios, a subset of the TOA´s could typically be erroneous owing to various detrimental factors. The standard least squares-based methods totally fail in presence of even only one outlier or erroneous TOA. By modeling the TOA estimation error as Cauchy-Lorentz distribution, a robust source localization algorithm is derived. Numerical experiments are provided to show the robustness and accuracy of localization of the proposed algorithm.
Keywords :
acoustic signal processing; acoustic transducers; distributed sensors; least squares approximations; time-of-arrival estimation; Cauchy-Lorentz distribution; TOA; acoustic sensor network; least squares-based methods; robust source localization algorithm; time of arrival; using distributed acoustic sensor networks; Acoustic emission; Acoustic sensors; Acoustic signal detection; Information systems; Iterative algorithms; Robustness; Sensor arrays; Speech processing; Time of arrival estimation; Yield estimation; Robust estimate; acoustic sensor network; source localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Type :
conf
DOI :
10.1109/ICASSP.2007.367066
Filename :
4217939
Link To Document :
بازگشت