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Content Provider | IEEE Xplore Digital Library |
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Author | Sintes, C. Foote, K.G. Llort-Pujol, G. |
Copyright Year | 2015 |
Description | Author affiliation: Thalos SAS, Ploemeur, France (Llort-Pujol, G.) || Lab.-STICC, Telecom Bretagne, Brest, France (Sintes, C.) || Woods Hole Oceanogr. Instn., Woods Hole, MA, USA (Foote, K.G.) |
Abstract | Interferometry is a powerful method to estimate direction of arrival (DOA) in seafloor mapping. Its main difficulty derives from a 2π-ambiguity in phase, complicated by the presence of noise. Here, the Vernier method is explained and its performance is analyzed. This performance is compared against that of three other DOA estimators, namely the multiple signal classification (MUSIC) algorithm and two maximum likelihood estimators (MLEs) for real data derived from measurements with a dual-baseline sidescan sonar operating at 455 kHz. It is shown that the performance of all four estimators is impacted by a quantity that is treated explicitly within the Vernier method. |
Starting Page | 1 |
Ending Page | 6 |
File Size | 297037 |
Page Count | 6 |
File Format | |
e-ISBN | 9781479987368 |
DOI | 10.1109/OCEANS-Genova.2015.7271730 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-05-18 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Sensors Maximum likelihood estimation Direction-of-arrival estimation Multiple signal classification Noise Interferometers Vernier method Sonar interferometry phase-measuring sonar dual-baseline sidescan sonar direction-of-arrival determination |
Content Type | Text |
Resource Type | Article |
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