A maximum-likelihood parametric approach to source localizations

Authors:
J. C. Chen;R. E. Hudson;Kung Yao
Affiliations:
Electr. Eng. Dept., Univ. of California, Los Angeles, CA, USA;-;-
Venue:
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
Year:
2001

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Abstract

Source localization using passive sensor arrays has been an active research problem for many years. Most near-field source localization algorithms involve two separate estimations, namely, relative time-delay estimations and source location estimation. A one-step maximum-likelihood parametric source localization algorithm is proposed based on the maximum correlation between time shifted sensor data at the true source location. The performance of the algorithm is evaluated and shown to approach the Cramer-Rao bound asymptotically in simulations.