Methods of Designing Shallow Underwater Acoustic Channel Simulators

Abstract In this paper, two typical methods of designing underwater acoustic (UWA) channel simulators, the geometry based and the measurement based, are investigated. Then, the performance of each method is analyzed by comparing the statistical properties of the simulated channels with those of the...
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Autor*in:	Ha, Do Viet [verfasserIn] Nguyen, Van Duc

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Shallow underwater acoustic channels Underwater acoustic channel simulators Measurement-based simulators

Anmerkung:	© Australian Acoustical Society 2016

Übergeordnetes Werk:	Enthalten in: Acoustics Australia - Trois Revieres, Quebec : Copyright Agency Limited, 1985, 44(2016), 3 vom: Dez., Seite 439-448
Übergeordnetes Werk:	volume:44 ; year:2016 ; number:3 ; month:12 ; pages:439-448

Links:	Volltext

DOI / URN:	10.1007/s40857-016-0074-3

Katalog-ID:	SPR03793354X

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520			\|a Abstract In this paper, two typical methods of designing underwater acoustic (UWA) channel simulators, the geometry based and the measurement based, are investigated. Then, the performance of each method is analyzed by comparing the statistical properties of the simulated channels with those of the real shallow UWA channel measured in Halong bay, Vietnam, in June 2015. The results show that the measurement-based channel simulator provides the simulated channel which matches well with the real UWA channel, but it requires application of complex optimization computation methods to estimate a larger number of channel parameters. The geometry-based simulator has a lower complexity than the measurement-based simulator. However, the statistical properties obtained by this simulator do not fit with those of the real UWA channel. This is our motivation to propose an effective channel simulator, which is not only simple in computation but also in good agreement with the real UWA channel. The parameters of the proposed UWA channel simulator can be directly exploited from the measurement data without applying any optimization computation method. Moreover, the simulation results show that the channel statistical properties obtained by the proposed method match well with those of the real UWA channel.
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912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_702
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matchkey_str	article:18392571:2016----::ehdodsgighloudraeaosic
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publishDate	2016
allfields	10.1007/s40857-016-0074-3 doi (DE-627)SPR03793354X (SPR)s40857-016-0074-3-e DE-627 ger DE-627 rakwb eng Ha, Do Viet verfasserin aut Methods of Designing Shallow Underwater Acoustic Channel Simulators 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Australian Acoustical Society 2016 Abstract In this paper, two typical methods of designing underwater acoustic (UWA) channel simulators, the geometry based and the measurement based, are investigated. Then, the performance of each method is analyzed by comparing the statistical properties of the simulated channels with those of the real shallow UWA channel measured in Halong bay, Vietnam, in June 2015. The results show that the measurement-based channel simulator provides the simulated channel which matches well with the real UWA channel, but it requires application of complex optimization computation methods to estimate a larger number of channel parameters. The geometry-based simulator has a lower complexity than the measurement-based simulator. However, the statistical properties obtained by this simulator do not fit with those of the real UWA channel. This is our motivation to propose an effective channel simulator, which is not only simple in computation but also in good agreement with the real UWA channel. The parameters of the proposed UWA channel simulator can be directly exploited from the measurement data without applying any optimization computation method. Moreover, the simulation results show that the channel statistical properties obtained by the proposed method match well with those of the real UWA channel. Shallow underwater acoustic channels (dpeaa)DE-He213 Underwater acoustic channel simulators (dpeaa)DE-He213 Measurement-based simulators (dpeaa)DE-He213 Nguyen, Van Duc aut Enthalten in Acoustics Australia Trois Revieres, Quebec : Copyright Agency Limited, 1985 44(2016), 3 vom: Dez., Seite 439-448 (DE-627)725595302 (DE-600)2681121-2 1839-2571 nnns volume:44 year:2016 number:3 month:12 pages:439-448 https://dx.doi.org/10.1007/s40857-016-0074-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 44 2016 3 12 439-448
spelling	10.1007/s40857-016-0074-3 doi (DE-627)SPR03793354X (SPR)s40857-016-0074-3-e DE-627 ger DE-627 rakwb eng Ha, Do Viet verfasserin aut Methods of Designing Shallow Underwater Acoustic Channel Simulators 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Australian Acoustical Society 2016 Abstract In this paper, two typical methods of designing underwater acoustic (UWA) channel simulators, the geometry based and the measurement based, are investigated. Then, the performance of each method is analyzed by comparing the statistical properties of the simulated channels with those of the real shallow UWA channel measured in Halong bay, Vietnam, in June 2015. The results show that the measurement-based channel simulator provides the simulated channel which matches well with the real UWA channel, but it requires application of complex optimization computation methods to estimate a larger number of channel parameters. The geometry-based simulator has a lower complexity than the measurement-based simulator. However, the statistical properties obtained by this simulator do not fit with those of the real UWA channel. This is our motivation to propose an effective channel simulator, which is not only simple in computation but also in good agreement with the real UWA channel. The parameters of the proposed UWA channel simulator can be directly exploited from the measurement data without applying any optimization computation method. Moreover, the simulation results show that the channel statistical properties obtained by the proposed method match well with those of the real UWA channel. Shallow underwater acoustic channels (dpeaa)DE-He213 Underwater acoustic channel simulators (dpeaa)DE-He213 Measurement-based simulators (dpeaa)DE-He213 Nguyen, Van Duc aut Enthalten in Acoustics Australia Trois Revieres, Quebec : Copyright Agency Limited, 1985 44(2016), 3 vom: Dez., Seite 439-448 (DE-627)725595302 (DE-600)2681121-2 1839-2571 nnns volume:44 year:2016 number:3 month:12 pages:439-448 https://dx.doi.org/10.1007/s40857-016-0074-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 44 2016 3 12 439-448
allfields_unstemmed	10.1007/s40857-016-0074-3 doi (DE-627)SPR03793354X (SPR)s40857-016-0074-3-e DE-627 ger DE-627 rakwb eng Ha, Do Viet verfasserin aut Methods of Designing Shallow Underwater Acoustic Channel Simulators 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Australian Acoustical Society 2016 Abstract In this paper, two typical methods of designing underwater acoustic (UWA) channel simulators, the geometry based and the measurement based, are investigated. Then, the performance of each method is analyzed by comparing the statistical properties of the simulated channels with those of the real shallow UWA channel measured in Halong bay, Vietnam, in June 2015. The results show that the measurement-based channel simulator provides the simulated channel which matches well with the real UWA channel, but it requires application of complex optimization computation methods to estimate a larger number of channel parameters. The geometry-based simulator has a lower complexity than the measurement-based simulator. However, the statistical properties obtained by this simulator do not fit with those of the real UWA channel. This is our motivation to propose an effective channel simulator, which is not only simple in computation but also in good agreement with the real UWA channel. The parameters of the proposed UWA channel simulator can be directly exploited from the measurement data without applying any optimization computation method. Moreover, the simulation results show that the channel statistical properties obtained by the proposed method match well with those of the real UWA channel. Shallow underwater acoustic channels (dpeaa)DE-He213 Underwater acoustic channel simulators (dpeaa)DE-He213 Measurement-based simulators (dpeaa)DE-He213 Nguyen, Van Duc aut Enthalten in Acoustics Australia Trois Revieres, Quebec : Copyright Agency Limited, 1985 44(2016), 3 vom: Dez., Seite 439-448 (DE-627)725595302 (DE-600)2681121-2 1839-2571 nnns volume:44 year:2016 number:3 month:12 pages:439-448 https://dx.doi.org/10.1007/s40857-016-0074-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 44 2016 3 12 439-448
allfieldsGer	10.1007/s40857-016-0074-3 doi (DE-627)SPR03793354X (SPR)s40857-016-0074-3-e DE-627 ger DE-627 rakwb eng Ha, Do Viet verfasserin aut Methods of Designing Shallow Underwater Acoustic Channel Simulators 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Australian Acoustical Society 2016 Abstract In this paper, two typical methods of designing underwater acoustic (UWA) channel simulators, the geometry based and the measurement based, are investigated. Then, the performance of each method is analyzed by comparing the statistical properties of the simulated channels with those of the real shallow UWA channel measured in Halong bay, Vietnam, in June 2015. The results show that the measurement-based channel simulator provides the simulated channel which matches well with the real UWA channel, but it requires application of complex optimization computation methods to estimate a larger number of channel parameters. The geometry-based simulator has a lower complexity than the measurement-based simulator. However, the statistical properties obtained by this simulator do not fit with those of the real UWA channel. This is our motivation to propose an effective channel simulator, which is not only simple in computation but also in good agreement with the real UWA channel. The parameters of the proposed UWA channel simulator can be directly exploited from the measurement data without applying any optimization computation method. Moreover, the simulation results show that the channel statistical properties obtained by the proposed method match well with those of the real UWA channel. Shallow underwater acoustic channels (dpeaa)DE-He213 Underwater acoustic channel simulators (dpeaa)DE-He213 Measurement-based simulators (dpeaa)DE-He213 Nguyen, Van Duc aut Enthalten in Acoustics Australia Trois Revieres, Quebec : Copyright Agency Limited, 1985 44(2016), 3 vom: Dez., Seite 439-448 (DE-627)725595302 (DE-600)2681121-2 1839-2571 nnns volume:44 year:2016 number:3 month:12 pages:439-448 https://dx.doi.org/10.1007/s40857-016-0074-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 44 2016 3 12 439-448
allfieldsSound	10.1007/s40857-016-0074-3 doi (DE-627)SPR03793354X (SPR)s40857-016-0074-3-e DE-627 ger DE-627 rakwb eng Ha, Do Viet verfasserin aut Methods of Designing Shallow Underwater Acoustic Channel Simulators 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Australian Acoustical Society 2016 Abstract In this paper, two typical methods of designing underwater acoustic (UWA) channel simulators, the geometry based and the measurement based, are investigated. Then, the performance of each method is analyzed by comparing the statistical properties of the simulated channels with those of the real shallow UWA channel measured in Halong bay, Vietnam, in June 2015. The results show that the measurement-based channel simulator provides the simulated channel which matches well with the real UWA channel, but it requires application of complex optimization computation methods to estimate a larger number of channel parameters. The geometry-based simulator has a lower complexity than the measurement-based simulator. However, the statistical properties obtained by this simulator do not fit with those of the real UWA channel. This is our motivation to propose an effective channel simulator, which is not only simple in computation but also in good agreement with the real UWA channel. The parameters of the proposed UWA channel simulator can be directly exploited from the measurement data without applying any optimization computation method. Moreover, the simulation results show that the channel statistical properties obtained by the proposed method match well with those of the real UWA channel. Shallow underwater acoustic channels (dpeaa)DE-He213 Underwater acoustic channel simulators (dpeaa)DE-He213 Measurement-based simulators (dpeaa)DE-He213 Nguyen, Van Duc aut Enthalten in Acoustics Australia Trois Revieres, Quebec : Copyright Agency Limited, 1985 44(2016), 3 vom: Dez., Seite 439-448 (DE-627)725595302 (DE-600)2681121-2 1839-2571 nnns volume:44 year:2016 number:3 month:12 pages:439-448 https://dx.doi.org/10.1007/s40857-016-0074-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 44 2016 3 12 439-448
language	English
source	Enthalten in Acoustics Australia 44(2016), 3 vom: Dez., Seite 439-448 volume:44 year:2016 number:3 month:12 pages:439-448
sourceStr	Enthalten in Acoustics Australia 44(2016), 3 vom: Dez., Seite 439-448 volume:44 year:2016 number:3 month:12 pages:439-448
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Shallow underwater acoustic channels Underwater acoustic channel simulators Measurement-based simulators
isfreeaccess_bool	false
container_title	Acoustics Australia
authorswithroles_txt_mv	Ha, Do Viet @@aut@@ Nguyen, Van Duc @@aut@@
publishDateDaySort_date	2016-12-01T00:00:00Z
hierarchy_top_id	725595302
id	SPR03793354X
language_de	englisch
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author	Ha, Do Viet
spellingShingle	Ha, Do Viet misc Shallow underwater acoustic channels misc Underwater acoustic channel simulators misc Measurement-based simulators Methods of Designing Shallow Underwater Acoustic Channel Simulators
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topic_title	Methods of Designing Shallow Underwater Acoustic Channel Simulators Shallow underwater acoustic channels (dpeaa)DE-He213 Underwater acoustic channel simulators (dpeaa)DE-He213 Measurement-based simulators (dpeaa)DE-He213
topic	misc Shallow underwater acoustic channels misc Underwater acoustic channel simulators misc Measurement-based simulators
topic_unstemmed	misc Shallow underwater acoustic channels misc Underwater acoustic channel simulators misc Measurement-based simulators
topic_browse	misc Shallow underwater acoustic channels misc Underwater acoustic channel simulators misc Measurement-based simulators
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title	Methods of Designing Shallow Underwater Acoustic Channel Simulators
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title_full	Methods of Designing Shallow Underwater Acoustic Channel Simulators
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author_browse	Ha, Do Viet Nguyen, Van Duc
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doi_str_mv	10.1007/s40857-016-0074-3
title_sort	methods of designing shallow underwater acoustic channel simulators
title_auth	Methods of Designing Shallow Underwater Acoustic Channel Simulators
abstract	Abstract In this paper, two typical methods of designing underwater acoustic (UWA) channel simulators, the geometry based and the measurement based, are investigated. Then, the performance of each method is analyzed by comparing the statistical properties of the simulated channels with those of the real shallow UWA channel measured in Halong bay, Vietnam, in June 2015. The results show that the measurement-based channel simulator provides the simulated channel which matches well with the real UWA channel, but it requires application of complex optimization computation methods to estimate a larger number of channel parameters. The geometry-based simulator has a lower complexity than the measurement-based simulator. However, the statistical properties obtained by this simulator do not fit with those of the real UWA channel. This is our motivation to propose an effective channel simulator, which is not only simple in computation but also in good agreement with the real UWA channel. The parameters of the proposed UWA channel simulator can be directly exploited from the measurement data without applying any optimization computation method. Moreover, the simulation results show that the channel statistical properties obtained by the proposed method match well with those of the real UWA channel. © Australian Acoustical Society 2016
abstractGer	Abstract In this paper, two typical methods of designing underwater acoustic (UWA) channel simulators, the geometry based and the measurement based, are investigated. Then, the performance of each method is analyzed by comparing the statistical properties of the simulated channels with those of the real shallow UWA channel measured in Halong bay, Vietnam, in June 2015. The results show that the measurement-based channel simulator provides the simulated channel which matches well with the real UWA channel, but it requires application of complex optimization computation methods to estimate a larger number of channel parameters. The geometry-based simulator has a lower complexity than the measurement-based simulator. However, the statistical properties obtained by this simulator do not fit with those of the real UWA channel. This is our motivation to propose an effective channel simulator, which is not only simple in computation but also in good agreement with the real UWA channel. The parameters of the proposed UWA channel simulator can be directly exploited from the measurement data without applying any optimization computation method. Moreover, the simulation results show that the channel statistical properties obtained by the proposed method match well with those of the real UWA channel. © Australian Acoustical Society 2016
abstract_unstemmed	Abstract In this paper, two typical methods of designing underwater acoustic (UWA) channel simulators, the geometry based and the measurement based, are investigated. Then, the performance of each method is analyzed by comparing the statistical properties of the simulated channels with those of the real shallow UWA channel measured in Halong bay, Vietnam, in June 2015. The results show that the measurement-based channel simulator provides the simulated channel which matches well with the real UWA channel, but it requires application of complex optimization computation methods to estimate a larger number of channel parameters. The geometry-based simulator has a lower complexity than the measurement-based simulator. However, the statistical properties obtained by this simulator do not fit with those of the real UWA channel. This is our motivation to propose an effective channel simulator, which is not only simple in computation but also in good agreement with the real UWA channel. The parameters of the proposed UWA channel simulator can be directly exploited from the measurement data without applying any optimization computation method. Moreover, the simulation results show that the channel statistical properties obtained by the proposed method match well with those of the real UWA channel. © Australian Acoustical Society 2016
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title_short	Methods of Designing Shallow Underwater Acoustic Channel Simulators
url	https://dx.doi.org/10.1007/s40857-016-0074-3
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up_date	2024-07-03T15:14:38.330Z
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Then, the performance of each method is analyzed by comparing the statistical properties of the simulated channels with those of the real shallow UWA channel measured in Halong bay, Vietnam, in June 2015. The results show that the measurement-based channel simulator provides the simulated channel which matches well with the real UWA channel, but it requires application of complex optimization computation methods to estimate a larger number of channel parameters. The geometry-based simulator has a lower complexity than the measurement-based simulator. However, the statistical properties obtained by this simulator do not fit with those of the real UWA channel. This is our motivation to propose an effective channel simulator, which is not only simple in computation but also in good agreement with the real UWA channel. The parameters of the proposed UWA channel simulator can be directly exploited from the measurement data without applying any optimization computation method. Moreover, the simulation results show that the channel statistical properties obtained by the proposed method match well with those of the real UWA channel.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Shallow underwater acoustic channels</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Underwater acoustic channel simulators</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Measurement-based simulators</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nguyen, Van Duc</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Acoustics Australia</subfield><subfield code="d">Trois Revieres, Quebec : Copyright Agency Limited, 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Methods of Designing Shallow Underwater Acoustic Channel Simulators

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