Abstract
Ambiguity surfaces for underwater acoustic matched-field processing are prone to having high secondary peaks. This leads to anomalous source localization estimates below a threshold signal-to-noise ratio (SNR) at which the performance rapidly departs from that predicted by the Cramér-Rao lower bound (CRLB). In this paper, Barankln bounds are used to predict the threshold SNR under two different models including known or uncertain shallow-water environments and monochromatic or random narrowband sources. Evaluation of the Barankln bound suggests that although asymptotic localization performance degrades with increasing environmental uncertainty, the threshold SNR is relatively unaffected.
Original language | English |
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Title of host publication | Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking |
Publisher | Wiley-IEEE Press |
Pages | 529-539 |
Number of pages | 11 |
ISBN (Electronic) | 9780470544198 |
ISBN (Print) | 0470120959, 9780470120958 |
DOIs | |
State | Published - 1 Jan 2007 |
Keywords
- Arrays
- Covariance matrix
- Eigenvalues and eigenfunctions
- Oceans
- Position measurement
- Signal to noise ratio
- Uncertainty
ASJC Scopus subject areas
- General Computer Science