| Autor: |
Mojgan Mirzaei Hotkani, Jean-Francois Bousquet, Seyed Alireza Seyedin, Bruce Martin, Ehsan Malekshahi |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Acoustics, Vol 3, Iss 4, Pp 611-629 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2624-599X |
| DOI: |
10.3390/acoustics3040039 |
| Popis: |
In this research, a new application using broadband ship noise as a source-of-opportunity to estimate the scattering field from the underwater targets is reported. For this purpose, a field trial was conducted in collaboration with JASCO Applied Sciences at Duncan’s Cove, Canada in September 2020. A hydrophone array was deployed in the outbound shipping lane at a depth of approximately 71 m to collect broadband noise data from different ship types and effectively localize the underwater targets. In this experiment, a target was installed at a distance (93 m) from the hydrophone array at a depth of 25 m. In this study, a matched field processing (MFP) algorithm is utilized for localization. Different propagation models are presented using Green’s function to generate the replica signal; this includes normal modes in a shallow water waveguide, the Lloyd-mirror pattern for deep water, as well as the image model. We use the MFP algorithm with different types of underwater environment models and a proposed estimator to find the best match between the received signal and the replica signal. Finally, by applying the scatter function on the proposed multi-channel cross correlation coefficient time-frequency localization algorithm, the location of target is detected. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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