DocumentCode :
2491246
Title :
Robust maximum-likelihood estimation of local environmental parameters in shallow water
Author :
Tabrikian, J. ; Messer, Hagit ; Fostick, G.
Author_Institution :
Dept. of Electr. Eng. Syst., Tel Aviv Univ., Israel
Volume :
2
fYear :
1996
fDate :
14-18 Oct 1996
Firstpage :
1531
Abstract :
This paper presents a new, robust algorithm for estimating unknown environment parameters in a bounded propagation medium, such as shallow water. The proposed algorithm is based on the fact that if there are no model uncertainties, the corresponding modal spectrum of the received signal is strictly band-limited to an a-priori known band. Any mismatch in the assumed local model causes the modal spectrum out of this band to be non-zero. The proposed estimator is independent of the emitter characteristics. We demonstrate its performance by applying it (via computer simulations) to a practical scenario
Keywords :
acoustic signal processing; maximum likelihood estimation; spectral analysis; underwater sound; bandlimited modal spectrum; bounded propagation medium; computer simulations; environmental parameter estimation; local environmental parameters; performance; received signal; robust algorithm; robust maximum-likelihood estimation; shallow water; Eigenvalues and eigenfunctions; Equations; Matrices; Maximum likelihood estimation; Noise level; Oils; Parameter estimation; Radio access networks; Robustness; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
Type :
conf
DOI :
10.1109/ICSIGP.1996.571171
Filename :
571171
Link To Document :
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