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Content Provider | IEEE Xplore Digital Library |
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Author | Tabrikian, J. Krolik, J.L. |
Copyright Year | 1997 |
Description | Author affiliation: Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA (Tabrikian, J.) |
Abstract | Matched-field methods are known to have a severe ambiguity problem. In low signal-to-noise-ratios (SNRs), where the estimator cannot distinguish between the ambiguity function peak near the true source location and ambiguous ones, its mean square error deviates radically from the Cramer-Rao lower bound (CRLB). The Barankin bound for the source localization problem in an uncertain shallow water environment is derived. In particular, a method of selection of the test-points for evaluation of the bound is presented. The bound is evaluated using a "general mismatch" benchmark scenario. The results presented predict the threshold SNR below which the performance degrades dramatically. Channel uncertainties in the benchmark scenario are shown to increase this threshold SNR by as much as 3 dB. |
Starting Page | 499 |
Ending Page | 502 |
File Size | 405870 |
Page Count | 4 |
File Format | |
ISBN | 0818679190 |
ISSN | 15206149 |
DOI | 10.1109/ICASSP.1997.599684 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1997-04-21 |
Publisher Place | Germany |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Water resources Acoustic sensors Signal processing algorithms Sensor arrays Mean square error methods Benchmark testing Conferences Eigenvalues and eigenfunctions Position measurement Degradation |
Content Type | Text |
Resource Type | Article |
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