Maximum-likelihood time delay estimation: a new perspective

This paper introduces a new realization for maximum likelihood time-delay estimation. The new realization illuminates the relationships between maximum likelihood time delay estimation and other methods. We obtain the result by deriving the likelihood function using a fundamental method that, surpri...

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Bibliographic Details
Main Authors: Stuller, J.A., Hubing, N.
Format: Conference Proceeding
Language:English
Subjects:
Array signal processing
Delay effects
Delay estimation
Eigenvalues and eigenfunctions
Gaussian noise
Gaussian processes
Karhunen-Loeve transforms
Maximum likelihood estimation
Probability density function
Signal processing
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Description
Summary:This paper introduces a new realization for maximum likelihood time-delay estimation. The new realization illuminates the relationships between maximum likelihood time delay estimation and other methods. We obtain the result by deriving the likelihood function using a fundamental method that, surprisingly, appears to be new to the field of array processing. This method is a natural complement to the Karhunen-Loeve transform having vector eigenfunctions and scalar eigenvalues, and it generalizes to M measurements, M/spl ges/2. Moreover, it can be applied to other multichannel estimation problems.
ISSN:1058-6393
2576-2303
DOI:10.1109/ACSSC.1995.540819