Underwater Acoustic Channel Characterization of Shallow Water Environment
Understanding of channel propagation characteristics is a key to the optimal design of underwater acoustic communication. Generally, modelling of underwater acoustic channel is performed based on measurement result in certain site at certain times. Different sites might have different characteristic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Politeknik Elektronika Negeri Surabaya
2018-07-01
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| Series: | Emitter: International Journal of Engineering Technology |
| Subjects: | |
| Online Access: | https://emitter.pens.ac.id/index.php/emitter/article/view/243 |
| _version_ | 1819242007396089856 |
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| author | Tri Budi Santoso Endang Widjiati Wirawan Wirawan Gamantyo Hendrantoro |
| author_facet | Tri Budi Santoso Endang Widjiati Wirawan Wirawan Gamantyo Hendrantoro |
| author_sort | Tri Budi Santoso |
| collection | DOAJ |
| description | Understanding of channel propagation characteristics is a key to the optimal design of underwater acoustic communication. Generally, modelling of underwater acoustic channel is performed based on measurement result in certain site at certain times. Different sites might have different characteristics, each of which can generally be described by a model obtained by averaging measurement results at multiple points in the same environment. This paper describes a characterization of the underwater acoustic channel of tropical shallow water in a Mangrove estuary, which has sediment up to 60 cm at the bottom. Such a channel model is beneficial for the design of communication system in an autonomous underwater vehicle, for instance. The measurement result of delay spread parameter from three different points with the distance of 14 ~ 52 m, has various values. The root mean square (RMS) of delay spread ranges between 0.0621 ~ 0.264 ms, and the maximum delay spread varies with the value of 0.187 ~ 1.0 ms. The pdf fitting shows that Rayleigh distribution describes the fading variation more accurately than Nakagami and Ricean. |
| first_indexed | 2024-12-23T14:32:57Z |
| format | Article |
| id | doaj.art-224388d581d04002874f987201f7f457 |
| institution | Directory Open Access Journal |
| issn | 2355-391X 2443-1168 |
| language | English |
| last_indexed | 2024-12-23T14:32:57Z |
| publishDate | 2018-07-01 |
| publisher | Politeknik Elektronika Negeri Surabaya |
| record_format | Article |
| series | Emitter: International Journal of Engineering Technology |
| spelling | doaj.art-224388d581d04002874f987201f7f4572022-12-21T17:43:26ZengPoliteknik Elektronika Negeri SurabayaEmitter: International Journal of Engineering Technology2355-391X2443-11682018-07-016110.24003/emitter.v6i1.243101Underwater Acoustic Channel Characterization of Shallow Water EnvironmentTri Budi Santoso0Endang Widjiati1Wirawan Wirawan2Gamantyo Hendrantoro3Institute Teknologi Sepuluh Nopember, Surabaya Electronic Engineering Polytechnic Institute of SurabayaBPPT-IndonesiaInstitut Teknologi Sepuluh Nopember, SurabayaInstitut Teknologi Sepuluh Nopember, SurabayaUnderstanding of channel propagation characteristics is a key to the optimal design of underwater acoustic communication. Generally, modelling of underwater acoustic channel is performed based on measurement result in certain site at certain times. Different sites might have different characteristics, each of which can generally be described by a model obtained by averaging measurement results at multiple points in the same environment. This paper describes a characterization of the underwater acoustic channel of tropical shallow water in a Mangrove estuary, which has sediment up to 60 cm at the bottom. Such a channel model is beneficial for the design of communication system in an autonomous underwater vehicle, for instance. The measurement result of delay spread parameter from three different points with the distance of 14 ~ 52 m, has various values. The root mean square (RMS) of delay spread ranges between 0.0621 ~ 0.264 ms, and the maximum delay spread varies with the value of 0.187 ~ 1.0 ms. The pdf fitting shows that Rayleigh distribution describes the fading variation more accurately than Nakagami and Ricean.https://emitter.pens.ac.id/index.php/emitter/article/view/243Delay SpreadFadingShallow WaterScattering. |
| spellingShingle | Tri Budi Santoso Endang Widjiati Wirawan Wirawan Gamantyo Hendrantoro Underwater Acoustic Channel Characterization of Shallow Water Environment Emitter: International Journal of Engineering Technology Delay Spread Fading Shallow Water Scattering. |
| title | Underwater Acoustic Channel Characterization of Shallow Water Environment |
| title_full | Underwater Acoustic Channel Characterization of Shallow Water Environment |
| title_fullStr | Underwater Acoustic Channel Characterization of Shallow Water Environment |
| title_full_unstemmed | Underwater Acoustic Channel Characterization of Shallow Water Environment |
| title_short | Underwater Acoustic Channel Characterization of Shallow Water Environment |
| title_sort | underwater acoustic channel characterization of shallow water environment |
| topic | Delay Spread Fading Shallow Water Scattering. |
| url | https://emitter.pens.ac.id/index.php/emitter/article/view/243 |
| work_keys_str_mv | AT tribudisantoso underwateracousticchannelcharacterizationofshallowwaterenvironment AT endangwidjiati underwateracousticchannelcharacterizationofshallowwaterenvironment AT wirawanwirawan underwateracousticchannelcharacterizationofshallowwaterenvironment AT gamantyohendrantoro underwateracousticchannelcharacterizationofshallowwaterenvironment |