Pub Date : 2002-10-29DOI: 10.1109/OCEANS.2002.1191948
R. Swanson, S. C. Cash, W.C. Pettway, C. Peterson, K. Sharp
The Naval Oceanographic Office's (NAVOCEANO's) Ocean Projects Department's unique and highly specialized roll-on/roll-off unmanned underwater vehicles (UUV) deployed worldwide are used to collect data and information for the U. S. Navy. The Towed Ocean Survey System (TOSS) package is a fine-scale survey system, capable of surveying in water depths down to 6000 meters, which includes a comprehensive suite of data collection equipment (video, digital images, side scan, and sub-bottom profiler, et al.), suitable for a variety of mission objectives. TOSS is comprised of two complete systems; each system consists of a UUV and 5 support vans. Semi-Autonomous Mapping System (SAMS) is a new adjunct to the TOSS system. SAMS operates within an acoustic tether to the ship and will support high-speed, broad area characterization. The SEAMAP consists of two complete systems and collects large-scale, high-resolution side scan data in 20-km swaths as well as bathymetric data. The SEAHORSE system, NAVOCEANO's state-of-the-art autonomous underwater vehicle, currently consists of two complete systems (with a third on the way), and is an evolving system, designed to perform its mission objectives considering a variety of site specific data collection requirements. The flexibility of all of these systems gives the Ocean Collections Division an essential role in the community of data collection activities that provide the U. S. Navy with essential information.
{"title":"A current overview of NAVOCEANO's Ocean Projects Department's roll-on/roll-off data collection vehicles and support systems","authors":"R. Swanson, S. C. Cash, W.C. Pettway, C. Peterson, K. Sharp","doi":"10.1109/OCEANS.2002.1191948","DOIUrl":"https://doi.org/10.1109/OCEANS.2002.1191948","url":null,"abstract":"The Naval Oceanographic Office's (NAVOCEANO's) Ocean Projects Department's unique and highly specialized roll-on/roll-off unmanned underwater vehicles (UUV) deployed worldwide are used to collect data and information for the U. S. Navy. The Towed Ocean Survey System (TOSS) package is a fine-scale survey system, capable of surveying in water depths down to 6000 meters, which includes a comprehensive suite of data collection equipment (video, digital images, side scan, and sub-bottom profiler, et al.), suitable for a variety of mission objectives. TOSS is comprised of two complete systems; each system consists of a UUV and 5 support vans. Semi-Autonomous Mapping System (SAMS) is a new adjunct to the TOSS system. SAMS operates within an acoustic tether to the ship and will support high-speed, broad area characterization. The SEAMAP consists of two complete systems and collects large-scale, high-resolution side scan data in 20-km swaths as well as bathymetric data. The SEAHORSE system, NAVOCEANO's state-of-the-art autonomous underwater vehicle, currently consists of two complete systems (with a third on the way), and is an evolving system, designed to perform its mission objectives considering a variety of site specific data collection requirements. The flexibility of all of these systems gives the Ocean Collections Division an essential role in the community of data collection activities that provide the U. S. Navy with essential information.","PeriodicalId":431594,"journal":{"name":"OCEANS '02 MTS/IEEE","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134251508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-10-29DOI: 10.1109/OCEANS.2002.1191833
J. Zande, D. Sullivan, S. Butcher, T. Murphree
The Marine Advanced Technology Education (MATE) Center has developed a model for gathering information on the marine work force and providing educators and students with that information, along with educational experiences that help prepare students for ocean-related careers. One example of this model in action focuses on remotely operated vehicles (ROVs). With the help of professionals working in the field, the MATE Center has developed Knowledge and Skill Guidelines (KSGs) for ROV technicians. The Center has used its KSGs, and skill competencies identified from them, to guide the development of its subsea technology curricula, which includes the texts and accompanying instructor's handbook, "Introduction to Underwater Technology & Vehicle Design." The Mate Center has disseminated this curriculum to educators through faculty development institutes. These educators have incorporated their newly gained knowledge and experience into their classrooms, working with their students to design and build ROVs that many have entered into MATE-supported ROV competitions. These competitions are designed to provide students with real-world experience, highlight their learning, and connect them with employers and industry mentors. In this way, MATE's model is helping the Center to achieve its ultimate goal: to provide students with the skills and experiences to meet work force needs.
{"title":"The MATE model: a focused effort to improve marine technical education & meet work force needs","authors":"J. Zande, D. Sullivan, S. Butcher, T. Murphree","doi":"10.1109/OCEANS.2002.1191833","DOIUrl":"https://doi.org/10.1109/OCEANS.2002.1191833","url":null,"abstract":"The Marine Advanced Technology Education (MATE) Center has developed a model for gathering information on the marine work force and providing educators and students with that information, along with educational experiences that help prepare students for ocean-related careers. One example of this model in action focuses on remotely operated vehicles (ROVs). With the help of professionals working in the field, the MATE Center has developed Knowledge and Skill Guidelines (KSGs) for ROV technicians. The Center has used its KSGs, and skill competencies identified from them, to guide the development of its subsea technology curricula, which includes the texts and accompanying instructor's handbook, \"Introduction to Underwater Technology & Vehicle Design.\" The Mate Center has disseminated this curriculum to educators through faculty development institutes. These educators have incorporated their newly gained knowledge and experience into their classrooms, working with their students to design and build ROVs that many have entered into MATE-supported ROV competitions. These competitions are designed to provide students with real-world experience, highlight their learning, and connect them with employers and industry mentors. In this way, MATE's model is helping the Center to achieve its ultimate goal: to provide students with the skills and experiences to meet work force needs.","PeriodicalId":431594,"journal":{"name":"OCEANS '02 MTS/IEEE","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115038532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-10-29DOI: 10.1109/OCEANS.2002.1192118
V. Korochentsev, G.P. Turmov, V. Korochentsev, S. Shevkun
The synthesis and analysis of arrays in marine bays and closed basins were shown to be different from analogous questions in the deep sea. To form the beam pattern of an antenna working in continuous mode (impulses of long duration) one needs to take into consideration all factors, such as array shape, amplitude-phase distribution of particle velocity onto the array, bay geometry, acoustic features of water and sea bottom. We offer mathematical models of synthesis and analysis of the array placed in a marine bay. These models take into account factors of frontiers and bay bottom. The mathematical models are based on a strict solution of the Helmholtz equation by applying Green's function. The question of analysis and synthesis of the array is formulated as the exact task of mathematical physics. Results of digital exploration are reported.
{"title":"Synthesis of antennas located in a sea bay","authors":"V. Korochentsev, G.P. Turmov, V. Korochentsev, S. Shevkun","doi":"10.1109/OCEANS.2002.1192118","DOIUrl":"https://doi.org/10.1109/OCEANS.2002.1192118","url":null,"abstract":"The synthesis and analysis of arrays in marine bays and closed basins were shown to be different from analogous questions in the deep sea. To form the beam pattern of an antenna working in continuous mode (impulses of long duration) one needs to take into consideration all factors, such as array shape, amplitude-phase distribution of particle velocity onto the array, bay geometry, acoustic features of water and sea bottom. We offer mathematical models of synthesis and analysis of the array placed in a marine bay. These models take into account factors of frontiers and bay bottom. The mathematical models are based on a strict solution of the Helmholtz equation by applying Green's function. The question of analysis and synthesis of the array is formulated as the exact task of mathematical physics. Results of digital exploration are reported.","PeriodicalId":431594,"journal":{"name":"OCEANS '02 MTS/IEEE","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114632266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-10-29DOI: 10.1109/OCEANS.2002.1191935
I. Adams, W. Jones, Jun-Dong Park, T. Kasparis, S. Chen, J. Tenerelli
Satellite microwave scatterometer wind retrievals, given in the standard product (e.g., QuikSCAT L2B), badly underestimate the peak wind speed in tropical cyclones. One important reason is that the effects of precipitation on the normalized radar cross section sigma-0 are neglected in the processing algorithms. This paper presents results of a first attempt to provide sigma-0 corrections, which account for the atmospheric attenuation of the rain. Atmospheric transmissivity is derived from the QuikSCAT Radiometer (QRAD) excess brightness temperatures taken simultaneously with sigma-0 measurements. When applied, retrieved wind speeds show improved agreement with numerical hurricane models (PSU/NCAR MM5) where there is moderate to high rainfall.
{"title":"Improved hurricane wind speed algorithm for the seawinds satellite scatterometer","authors":"I. Adams, W. Jones, Jun-Dong Park, T. Kasparis, S. Chen, J. Tenerelli","doi":"10.1109/OCEANS.2002.1191935","DOIUrl":"https://doi.org/10.1109/OCEANS.2002.1191935","url":null,"abstract":"Satellite microwave scatterometer wind retrievals, given in the standard product (e.g., QuikSCAT L2B), badly underestimate the peak wind speed in tropical cyclones. One important reason is that the effects of precipitation on the normalized radar cross section sigma-0 are neglected in the processing algorithms. This paper presents results of a first attempt to provide sigma-0 corrections, which account for the atmospheric attenuation of the rain. Atmospheric transmissivity is derived from the QuikSCAT Radiometer (QRAD) excess brightness temperatures taken simultaneously with sigma-0 measurements. When applied, retrieved wind speeds show improved agreement with numerical hurricane models (PSU/NCAR MM5) where there is moderate to high rainfall.","PeriodicalId":431594,"journal":{"name":"OCEANS '02 MTS/IEEE","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114705370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-10-29DOI: 10.1109/OCEANS.2002.1193265
T. Hyakudome, T. Aoki, T. Murashima, S. Tsukioka, H. Yoshida, H. Nakajoh, T. Ida, S. Ishibashi, R. Sasamoto
A deep and long cruising range AUV (autonomous underwater vehicle) named "URASHIMA" (AUV-EXI; development code name), has been developed by JANISTEC since 1998. URASHIMA can cruise long distance in the sea and collect sea data and water samples automatically for offshore exploration. The dimensions and weight of URASHIMA are 10m (L), 1.3m (W), 1.5m (H), and about 7.5 tons in the air. There are two very important key technologies for a long cruising range autonomous underwater vehicle. One technology is the power source. URASHIMA has two types of power sources. One is a high capacity lithium-ion rechargeable battery. The other one is solid polymer electrolyte fuel cell. With these power sources the vehicle capable of performing long ranges missions. The estimated cruising ranges are about 100 km by using battery and about 300 km by using fuel cell each other at three knots. The other technology is the navigation system. The AUV cruises independently without any communications between the mother ship and vehicle. It is very important to know its present position and forward environment. URASHIMA has highly accurate navigation sensors, such that the inertial navigation system (INS) consists of three sets of ring laser gyro and accelerometers, obstacle avoidance sonar (OAS), Doppler velocity log (DVL) and acoustic homing sonar. The AUV enables long distance cruising independently with these navigation sensors. The sea-going tests started in June 2000. The equipment, hardware, software, and autonomous functions, will be improved gradually. In these sea trials, URASHIMA achieved a dive to3518 m and cruised 132.5 km in autonomous navigation mode.
{"title":"Key technologies for AUV \"URASHIMA\"","authors":"T. Hyakudome, T. Aoki, T. Murashima, S. Tsukioka, H. Yoshida, H. Nakajoh, T. Ida, S. Ishibashi, R. Sasamoto","doi":"10.1109/OCEANS.2002.1193265","DOIUrl":"https://doi.org/10.1109/OCEANS.2002.1193265","url":null,"abstract":"A deep and long cruising range AUV (autonomous underwater vehicle) named \"URASHIMA\" (AUV-EXI; development code name), has been developed by JANISTEC since 1998. URASHIMA can cruise long distance in the sea and collect sea data and water samples automatically for offshore exploration. The dimensions and weight of URASHIMA are 10m (L), 1.3m (W), 1.5m (H), and about 7.5 tons in the air. There are two very important key technologies for a long cruising range autonomous underwater vehicle. One technology is the power source. URASHIMA has two types of power sources. One is a high capacity lithium-ion rechargeable battery. The other one is solid polymer electrolyte fuel cell. With these power sources the vehicle capable of performing long ranges missions. The estimated cruising ranges are about 100 km by using battery and about 300 km by using fuel cell each other at three knots. The other technology is the navigation system. The AUV cruises independently without any communications between the mother ship and vehicle. It is very important to know its present position and forward environment. URASHIMA has highly accurate navigation sensors, such that the inertial navigation system (INS) consists of three sets of ring laser gyro and accelerometers, obstacle avoidance sonar (OAS), Doppler velocity log (DVL) and acoustic homing sonar. The AUV enables long distance cruising independently with these navigation sensors. The sea-going tests started in June 2000. The equipment, hardware, software, and autonomous functions, will be improved gradually. In these sea trials, URASHIMA achieved a dive to3518 m and cruised 132.5 km in autonomous navigation mode.","PeriodicalId":431594,"journal":{"name":"OCEANS '02 MTS/IEEE","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114847109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-10-29DOI: 10.1109/OCEANS.2002.1193309
R. F. Cambre, E. Peak, L. Bernard
The National Data Buoy Center (NDBC) has a long history of operating and supporting a sustainable integrated environmental observing system that collects meteorological and oceanographic data in real-time parameters. NDBC has over 60 shore stations, over 70 moored buoys (3 to 12 meters in diameter), and has deployed drifting buoys and sub-surface profiling floats. All data from these stations are received and processed in realtime and provided to National Weather Service (NWS) forecast offices around the country. These data are also used to feed numerical model prediction systems and are used as ground truth for other remote-sensed data. All data are sent to the NDBC Web site for public use and to the NOAA archive site for climate research. The authors discuss the use of buoys for voice communications.
{"title":"Non-traditional usage of marine buoys","authors":"R. F. Cambre, E. Peak, L. Bernard","doi":"10.1109/OCEANS.2002.1193309","DOIUrl":"https://doi.org/10.1109/OCEANS.2002.1193309","url":null,"abstract":"The National Data Buoy Center (NDBC) has a long history of operating and supporting a sustainable integrated environmental observing system that collects meteorological and oceanographic data in real-time parameters. NDBC has over 60 shore stations, over 70 moored buoys (3 to 12 meters in diameter), and has deployed drifting buoys and sub-surface profiling floats. All data from these stations are received and processed in realtime and provided to National Weather Service (NWS) forecast offices around the country. These data are also used to feed numerical model prediction systems and are used as ground truth for other remote-sensed data. All data are sent to the NDBC Web site for public use and to the NOAA archive site for climate research. The authors discuss the use of buoys for voice communications.","PeriodicalId":431594,"journal":{"name":"OCEANS '02 MTS/IEEE","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124657457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-10-29DOI: 10.1109/OCEANS.2002.1192049
P. May, J. Cummings, T. Hogan, T. Rosmond, M. Flatau, P. deWitt, R. Passi
The Naval Research Laboratory (NRL) is developing a coupled atmosphere-ocean forecast system by integrating several existing, proven atmospheric and oceanic forecasting components into a loosely coupled software system. The atmospheric system consists of the Navy Operational Global Atmospheric Prediction System (NOGAPS), a dynamic atmospheric forecast model initialized by a multivariate optimal interpolation assimilation scheme. The oceanic components of the system consists of the Coupled Ocean Data Assimilation (CODA), an ocean multivariate optimal interpolation program, and the Parallel Ocean Program (POP), a dynamic ocean model that originated at the Los Alamos National Laboratory. In a set of six-month simulations POP is run on a global grid and loosely coupled to NOGAPS, running at resolution, through forecast momentum, heat, and moisture fluxes. NOGAPS is loosely coupled to the ocean by a daily analysis of sea-surface temperature. Ocean data are assimilated through incremental updates of temperature, salinity, velocity and height fields from an analysis run on the same grid as the model, a method widely used in operational atmospheric models. The entire system is designed to run at least once a day and produce 5-10 day forecasts of the ocean and atmosphere for operational use by the Navy. The system is robust and produces a skillful forecast as judged by comparisons with independent data.
{"title":"Preliminary results from a global ocean/atmosphere prediction system","authors":"P. May, J. Cummings, T. Hogan, T. Rosmond, M. Flatau, P. deWitt, R. Passi","doi":"10.1109/OCEANS.2002.1192049","DOIUrl":"https://doi.org/10.1109/OCEANS.2002.1192049","url":null,"abstract":"The Naval Research Laboratory (NRL) is developing a coupled atmosphere-ocean forecast system by integrating several existing, proven atmospheric and oceanic forecasting components into a loosely coupled software system. The atmospheric system consists of the Navy Operational Global Atmospheric Prediction System (NOGAPS), a dynamic atmospheric forecast model initialized by a multivariate optimal interpolation assimilation scheme. The oceanic components of the system consists of the Coupled Ocean Data Assimilation (CODA), an ocean multivariate optimal interpolation program, and the Parallel Ocean Program (POP), a dynamic ocean model that originated at the Los Alamos National Laboratory. In a set of six-month simulations POP is run on a global grid and loosely coupled to NOGAPS, running at resolution, through forecast momentum, heat, and moisture fluxes. NOGAPS is loosely coupled to the ocean by a daily analysis of sea-surface temperature. Ocean data are assimilated through incremental updates of temperature, salinity, velocity and height fields from an analysis run on the same grid as the model, a method widely used in operational atmospheric models. The entire system is designed to run at least once a day and produce 5-10 day forecasts of the ocean and atmosphere for operational use by the Navy. The system is robust and produces a skillful forecast as judged by comparisons with independent data.","PeriodicalId":431594,"journal":{"name":"OCEANS '02 MTS/IEEE","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121725048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-10-29DOI: 10.1109/OCEANS.2002.1191917
M. Benjamin
Effective control of autonomous marine vehicles is a difficult problem that continues to increase in complexity as our aspirations and expectations become more ambitious. We discuss here two factors that lead this trend: the need to operate in environments with other moving vehicles, and the expectation that control reflect some sense of optimality where there is the opportunity and payoff for doing so. We present here a method for representing and solving multi-objective optimization problems suitable for controlling vehicles in such situations. This method is called Interval Programming (IvP).
{"title":"Multi-objective autonomous vehicle navigation in the presence of cooperative and adversarial moving contacts","authors":"M. Benjamin","doi":"10.1109/OCEANS.2002.1191917","DOIUrl":"https://doi.org/10.1109/OCEANS.2002.1191917","url":null,"abstract":"Effective control of autonomous marine vehicles is a difficult problem that continues to increase in complexity as our aspirations and expectations become more ambitious. We discuss here two factors that lead this trend: the need to operate in environments with other moving vehicles, and the expectation that control reflect some sense of optimality where there is the opportunity and payoff for doing so. We present here a method for representing and solving multi-objective optimization problems suitable for controlling vehicles in such situations. This method is called Interval Programming (IvP).","PeriodicalId":431594,"journal":{"name":"OCEANS '02 MTS/IEEE","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122084689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-10-29DOI: 10.1109/OCEANS.2002.1192128
M. A. Rennick, J. Joseph, M.J. Schorp
The Fleet Numerical Meteorology and Oceanography Center provides meteorological and oceanographic support to civilian and military decision makers throughout the agencies planning and executing response to the terrorist attacks on the World Trade Center and the Pentagon. This support is in the form of observations, numerical forecast model output, and various products and services based on them. While these functions are not new to Fleet Numerical, the pace of operations and the breadth of the customer base have required a number of innovations in product generation, distribution, and display capabilities.
{"title":"Fleet numerical support for homeland security in the wake of 9/11","authors":"M. A. Rennick, J. Joseph, M.J. Schorp","doi":"10.1109/OCEANS.2002.1192128","DOIUrl":"https://doi.org/10.1109/OCEANS.2002.1192128","url":null,"abstract":"The Fleet Numerical Meteorology and Oceanography Center provides meteorological and oceanographic support to civilian and military decision makers throughout the agencies planning and executing response to the terrorist attacks on the World Trade Center and the Pentagon. This support is in the form of observations, numerical forecast model output, and various products and services based on them. While these functions are not new to Fleet Numerical, the pace of operations and the breadth of the customer base have required a number of innovations in product generation, distribution, and display capabilities.","PeriodicalId":431594,"journal":{"name":"OCEANS '02 MTS/IEEE","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122101693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-10-29DOI: 10.1109/OCEANS.2002.1192003
H. S. Chatha, A. Kumar, R. Bahl
Underwater acoustic communications presents unique challenges that are being overcome with advances in signal processing algorithms and related hardware technologies. The accurate simulation and performance comparison of various algorithms is essential for building an optimized and robust communications system. We report results of a detailed simulation study of an underwater acoustic communications system using phase coherent modulation scheme. The aim of this study is to bring out the relative contributions of error control coding using Turbo codes and low probability of intercept features towards SNR gain and achieving the desired bit error rates for realistic environment scenarios. We also comment on the training sequence length requirement for linear and decision feedback equalization for LPI and nonLPI systems.
{"title":"Simulation studies of underwater communication system in shallow oceanic channel","authors":"H. S. Chatha, A. Kumar, R. Bahl","doi":"10.1109/OCEANS.2002.1192003","DOIUrl":"https://doi.org/10.1109/OCEANS.2002.1192003","url":null,"abstract":"Underwater acoustic communications presents unique challenges that are being overcome with advances in signal processing algorithms and related hardware technologies. The accurate simulation and performance comparison of various algorithms is essential for building an optimized and robust communications system. We report results of a detailed simulation study of an underwater acoustic communications system using phase coherent modulation scheme. The aim of this study is to bring out the relative contributions of error control coding using Turbo codes and low probability of intercept features towards SNR gain and achieving the desired bit error rates for realistic environment scenarios. We also comment on the training sequence length requirement for linear and decision feedback equalization for LPI and nonLPI systems.","PeriodicalId":431594,"journal":{"name":"OCEANS '02 MTS/IEEE","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121391715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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