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This article deals with the structure of the maximum-likelihood (ML) estimator for time delay with arbitrary signal and noise statistics. At high signal-to-noise ratios (SNRs), the ML estimation performs a nonlinear operation on the delayed difference of the two received waveshapes. The required nonlinearity depends only on the noise statistics. At low SNR, a closed-form simple expression for the ML, which depends only on the noise statistics and on the second-order statistics of the signal, is provided. With statistically independent noise processes, the estimator correlates two vectors generated by separate nonlinear operations on the two received waveshapes
Published in:
Signal Processing, IEEE Transactions on
(Volume:47
,
Issue:
9
)
Date of Publication: Sep 1999
- Page(s):
- 2531 - 2534
- ISSN :
- 1053-587X
- INSPEC Accession Number:
- 6344220
- Digital Object Identifier :
- 10.1109/78.782196
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Sep 1999
- Sponsored by :
- IEEE Signal Processing Society
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