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Estimation of Near-Field Parameters using Spatial Time-Frequency Distributions

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3 Author(s)
Luke A. Cirillo ; Darmstadt University of Technology, Merckstrasse 25, Darmstadt 64283, Germany. ; Abdelhak M. Zoubir ; Moeness G. Amin

This work deals with the estimation of near-field parameters using passive sensor arrays. A transformation of the array data is proposed which allows the extraction of near-field time-frequency signatures from data containing a mixture of far- and near-field sources. Spatial time-frequency distribution matrices are then used as a means for solving the near-field parameter estimation problem. The estimation accuracy of the proposed approach is compared to existing methods via simulation analysis. An experimental validation of theoretical ideas is also presented.

Published in:

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  (Volume:3 )

Date of Conference:

15-20 April 2007