Academic literature on the topic 'Underwater Acoustic Communicati'
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Journal articles on the topic "Underwater Acoustic Communicati"
Lee. "Underwater Acoustic Communication Using Nonlinear Chirp Signal." Journal Of The Acoustical Society Of Korea 33, no. 4 (2014): 255. http://dx.doi.org/10.7776/ask.2014.33.4.255.
Full textHovem, Jens M., and Hefeng Dong. "Understanding Ocean Acoustics by Eigenray Analysis." Journal of Marine Science and Engineering 7, no. 4 (April 25, 2019): 118. http://dx.doi.org/10.3390/jmse7040118.
Full textAllam, Ahmed, Waleed Akbar, and Fadel Adib. "An analytical framework for low-power underwater backscatter communications." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A376. http://dx.doi.org/10.1121/10.0019235.
Full textMajeed, Ishrat, and Er Jasdeep Singh. "Design and Performance Analysis of Underwater Acoustic Sensor Networks." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (March 31, 2022): 294–303. http://dx.doi.org/10.22214/ijraset.2022.40599.
Full textJeon, Jun-Ho, and Sung-Joon Park. "Micro-Modem for Short-Range Underwater Mobile Communication Systems." Marine Technology Society Journal 50, no. 2 (March 1, 2016): 48–53. http://dx.doi.org/10.4031/mtsj.50.2.4.
Full textZhou, Yuehai, Feng Tong, and Xiaoyu Yang. "Research on Co-Channel Interference Cancellation for Underwater Acoustic MIMO Communications." Remote Sensing 14, no. 19 (October 10, 2022): 5049. http://dx.doi.org/10.3390/rs14195049.
Full textXu, Jie, Hui Li, You-Ling zhou, Qian Li, Liu-Xun Xue, Chong-Yue Shi, and Hou Wang. "Performance analysis of vortex acoustic wave based on uniform circular array." Journal of Physics: Conference Series 2078, no. 1 (November 1, 2021): 012069. http://dx.doi.org/10.1088/1742-6596/2078/1/012069.
Full textLee. "Underwater Acoustic Communication of FH-MFSK Method with Multiple Orthogonal Properties." Journal of the Acoustical Society of Korea 33, no. 6 (2014): 407. http://dx.doi.org/10.7776/ask.2014.33.6.407.
Full textYun, Changho. "Underwater Multi-Channel MAC with Cognitive Acoustics for Distributed Underwater Acoustic Networks." Sensors 24, no. 10 (May 10, 2024): 3027. http://dx.doi.org/10.3390/s24103027.
Full textYoon, Jong Rak. "Performance of Convolution Coding Underwater Acoustic Communication System on Frequency Selectivity Index." JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA 32, no. 6 (2013): 494. http://dx.doi.org/10.7776/ask.2013.32.6.494.
Full textDissertations / Theses on the topic "Underwater Acoustic Communicati"
Garin, Raphaël. "Communication et positionnement simultanés pour les drones sous-marins autonomes." Electronic Thesis or Diss., Brest, 2023. http://www.theses.fr/2023BRES0097.
Full textThis thesis focuses on the navigation of autonomous underwater drones (AUVs) in the absence of underwater GPS signals. To address this issue, it proposes an innovative approach that combines AUV localization with underwater acoustic communication to a surface beacon. This method utilizes the Doppler shift estimation required for communication signal demodulation in order to estimate the relative velocity of the AUV. Additionally, the communication’s time of flight is used to measure the distance between the AUV and the beacon. The final system requires only affordable components, such as an inertial navigation system, a pressure sensor, a GPS for initialization, and an acoustic transponder for the drone, combined with a sound velocity profiling sensor. A fixed beacon communicates with the drone and is equipped with an acoustic transponder. This approach offers accuracy comparable to the state-of-the-art, with a small spatial footprint and reduced cost. Successful simulations and tests were conducted in a 6 m3 test tank, confirming the feasibility of the system. Furthermore, real-world sea trialsdemonstrated an accuracy of approximately 3 meters, showcasing the algorithm’s effectiveness.Compared to the state-of-the-art, the proposed system is quicker to set up, requires no calibration, is more cost-effective, and consumes less power, although it is slightly less accurate
Keeser, Christopher Corson. "Shallow under water communication with passive phase conjugation and iterative demodulation and decoding." Pullman, Wash. : Washington State University, 2008. http://www.dissertations.wsu.edu/Thesis/Fall2008/c_keeser_112408.pdf.
Full textTitle from PDF title page (viewed on Jan. 21, 2009). "School of Electrical Engineering and Computer Science." Includes bibliographical references (p. 51-53)
Tate, William R. "Full-duplex underwater networking." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FTate.pdf.
Full textThottappilly, Arjun. "OFDM for Underwater Acoustic Communication." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/34873.
Full textMaster of Science
Eggen, Trym H. 1963. "Underwater acoustic communication over Doppler spread channels." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/42768.
Full textNykvist, Kim. "Underwater probe for deep sea exploration : Long range acoustic underwater communication system." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80474.
Full textHaug, Ole Trygve. "Acoustic communication for use in underwater sensor networks." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9057.
Full textIn this study an underwater acoustic communications system has been simulated. The simulations has been performed through use of a simulation program called EasyPLR that is based on the PlaneRay propagation model. In the simulations different pulse shapes have been tested for use in underwater communication. Different types of loss have also been studied for different carrier frequencies. Changing the carrier frequency from 20 kHz to 75 kHz gives a huge difference in both absorption loss and reflection loss. This means that there will be a tradeoff between having a high frequency for high data rate and reducing the carrier frequency to reduce the loss. The modulation technique used in this study is Quadrature phase shift keying and different sound speed profiles have been tested to see how this affects the performance. The transmission distance has been tested for several distances up to 3 km. The results show a significant difference in the performances at 1 km and 3 km for the same noise level. Direct sequence spread spectrum with Quadrature phase shift keying has also been simulated for different distances with good performance. The challenge is to get good time synchronization, and the performance is much better at 1 km than at 3 km.
Pompili, Dario. "Efficient Communication Protocols for Underwater Acoustic Sensor Networks." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16301.
Full textYellepeddi, Atulya. "Direct-form adaptive equalization for underwater acoustic communication." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1912/5281.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 139-143).
Adaptive equalization is an important aspect of communication systems in various environments. It is particularly important in underwater acoustic communication systems, as the channel has a long delay spread and is subject to the effects of time- varying multipath fading and Doppler spreading. The design of the adaptation algorithm has a profound influence on the performance of the system. In this thesis, we explore this aspect of the system. The emphasis of the work presented is on applying concepts from inference and decision theory and information theory to provide an approach to deriving and analyzing adaptation algorithms. Limited work has been done so far on rigorously devising adaptation algorithms to suit a particular situation, and the aim of this thesis is to concretize such efforts and possibly to provide a mathematical basis for expanding it to other applications. We derive an algorithm for the adaptation of the coefficients of an equalizer when the receiver has limited or no information about the transmitted symbols, which we term the Soft-Decision Directed Recursive Least Squares algorithm. We will demonstrate connections between the Expectation-Maximization (EM) algorithm and the Recursive Least Squares algorithm, and show how to derive a computationally efficient, purely recursive algorithm from the optimal EM algorithm. Then, we use our understanding of Markov processes to analyze the performance of the RLS algorithm in hard-decision directed mode, as well as of the Soft-Decision Directed RLS algorithm. We demonstrate scenarios in which the adaptation procedures fail catastrophically, and discuss why this happens. The lessons from the analysis guide us on the choice of models for the adaptation procedure. We then demonstrate how to use the algorithm derived in a practical system for underwater communication using turbo equalization. As the algorithm naturally incorporates soft information into the adaptation process, it becomes easy to fit it into a turbo equalization framework. We thus provide an instance of how to use the information of a turbo equalizer in an adaptation procedure, which has not been very well explored in the past. Experimental data is used to prove the value of the algorithm in a practical context.
by Atulya Yellepeddi.
S.M.
Kilfoyle, Daniel B. (Daniel Brian). "Spatial modulation in the underwater acoustic communication channel." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/29046.
Full textVita.
Includes bibliographical references (leaves 180-181).
A modulation technique for increasing the reliable data rate achievable by an underwater acoustic communication system is presented and demonstrated. The technique, termed spatial modulation, seeks to control the spatial distribution of signal energy such that multiple parallel communication channels are supported by the single, physical ocean channel. Results from several experiments successfully demonstrate higher obtainable data rates and power throughput. Given a signal energy constraint, a communication architecture with access to parallel channels will have increased capacity and reliability as compared to one with access to a single channel. Assuming the use of multiple element spatial arrays at both the transmitter and receiver, an analytic framework is developed that allows a multiple input, multiple output physical channel to be transformed into a set of virtual parallel channels. The continuous time, vector singular value decomposition is the primary vehicle for this transformation. Given knowledge of the channel impulse responses and assuming additive, white Gaussian noise as the only interference, the advantages of using spatial modulation over a deterministic channel may be exactly computed. Improving performance over an ensemble of channels using spatial modulation is approached by defining and then optimizing various average performance metrics including average signal to noise ratio, average signal to noise plus interference ratio, and minimum square error. Several field experiments were conducted. Detailed channel impulse response measurements were made enabling application of the decomposition methodology. The number, strength, and stability of the available parallel channels were analyzed. The parallel channels were readily interpreted in terms of the underlying sound propagation field. Acoustic communication tests were conducted comparing conventional coherent modulation to spatial modulation. In one case, a reliable data rate of 24000 bits per second with a 4 kHz bandwidth signal was achieved with spatial modulation when conventional signaling could not achieve that rate. In another test, the benefits of spatial modulation for a horizontally distributed communication system, such as an underwater network with autonomous underwater vehicles, were validated.
by Daniel Brian Kilfoyle.
Ph.D.
Books on the topic "Underwater Acoustic Communicati"
1966-, Xiao Yang, ed. Underwater acoustic sensor networks. Boca Raton: Auerbach Publications, 2010.
Find full textEggen, Trym H. Underwater acoustic communication over Doppler spread channels. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1997.
Find full textIstepanian, Robert S. H., and Milica Stojanovic, eds. Underwater Acoustic Digital Signal Processing and Communication Systems. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3617-5.
Full textIstepanian, Robert S. H. Underwater Acoustic Digital Signal Processing and Communication Systems. Boston, MA: Springer US, 2002.
Find full textKilfoyle, Daniel B. Spatial modulation in the underwater acoustic communication channel. Cambridge, Mass: Massachusetts Institute of Technology, 2000.
Find full textICASSP (24th 1999 Phoenix, Ariz.). 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings : ICASSP99 Phoenix : March 15-19, 1999, Civic Plaza, Hyatt Regency, Phoenix, Arizona, U.S.A. Piscataway, NJ: IEEE, 1999.
Find full text(Editor), Robert Istepanian, and Milica Stojanovic (Editor), eds. Underwater Acoustic Digital Signal Processing and Communication Systems. Springer, 2002.
Find full textUnderwater Acoustic Sensor Networks. AUERBACH, 2008.
Find full textJiang, Shengming. Wireless Networking Principles: From Terrestrial to Underwater Acoustic. Springer, 2018.
Find full textJiang, Shengming. Wireless Networking Principles: From Terrestrial to Underwater Acoustic. Springer, 2018.
Find full textBook chapters on the topic "Underwater Acoustic Communicati"
Ma, Lu, Gang Qiao, and Jianmin Yang. "Underwater Acoustic Communication." In Encyclopedia of Ocean Engineering, 1–8. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-6963-5_288-1.
Full textReckendorf, Anja, Lars Seidelin, and Magnus Wahlberg. "Marine Mammal Acoustics." In Marine Mammals, 15–31. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-06836-2_2.
Full textZiomek, Lawrence J. "Underwater Acoustic Communication Signals." In An Introduction to Sonar Systems Engineering, 639–90. 2nd ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003259640-14.
Full textJiang, Shengming. "Overview of Underwater Acoustic Communication." In Wireless Networking Principles: From Terrestrial to Underwater Acoustic, 233–44. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7775-3_9.
Full textGuicking, Dieter. "Research on Underwater Acoustics in Göttingen." In Acoustics, Information, and Communication, 241–76. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05660-9_13.
Full textJunying, Hui, L. Liu, Feng Haihong, and Liu Hong. "Advanced coding for Underwater Communication." In Underwater Acoustic Digital Signal Processing and Communication Systems, 227–46. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3617-5_7.
Full textKhan, Imtiaz Ahmed, Nam-Yeol Yun, and Soo-Hyun Park. "Nibble-CRC for Underwater Acoustic Communication." In Lecture Notes in Computer Science, 550–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35606-3_65.
Full textLou, Yi, and Niaz Ahmed. "Basic Principles of Underwater Acoustic Communication." In Textbooks in Telecommunication Engineering, 3–33. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86649-5_1.
Full textStojanovic, Milica. "High-Speed Underwater Acoustic Communications." In Underwater Acoustic Digital Signal Processing and Communication Systems, 1–35. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3617-5_1.
Full textSari, H., and B. Woodward. "Digital underwater voice communications." In Underwater Acoustic Digital Signal Processing and Communication Systems, 127–65. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3617-5_4.
Full textConference papers on the topic "Underwater Acoustic Communicati"
DAVIES, JJ, and SA POINTER. "WIDEBAND UNDERWATER ACOUSTIC COMMUNICATION." In Underwater Acoustic Communication 1993. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/20689.
Full textLi, Mingyuan, Jianzhang Liu, Yan Wei, Fengzhong Qu, Minhao Zhang, and Zairan Ding. "Numerical Simulation and Experimental Research of Hydrophone Flow Noise." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-19121.
Full textJozwiak, Rafal, and Karol Listewnik. "Research on Underwater Communication Modem with FSK Modulation." In 2018 Joint Conference - Acoustics. IEEE, 2018. http://dx.doi.org/10.1109/acoustics.2018.8502401.
Full textKURYANOV, BF, and AK MOROZOV. "ACOUSTIC COMMUNICATION SYSTEM WITH BROADBAND PHASEMANIPULATED SIGNALS." In Underwater Acoustic Communication 1993. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/20681.
Full textWatanabe, Yoshitaka, Koji Meguro, Mitsuyasu Deguchi, Yukihiro Kida, and Takuya Shimura. "Integrated Acoustic Communication and Positioning System Between an Autonomous Surface Vehicle and Autonomous Underwater Vehicles." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-96623.
Full textKochanska, Iwona, and Jan H. Schmidt. "Estimation of Coherence Bandwidth for Underwater Acoustic Communication Channel." In 2018 Joint Conference - Acoustics. IEEE, 2018. http://dx.doi.org/10.1109/acoustics.2018.8502331.
Full textAfzulpurkar, S., P. Maurya, G. Navelkar, E. Desa, A. Mascarenhas, N. Dabholkar, R. Madhan, and S. Prabhudesai. "Acoustic communication for Maya autonomous underwater vehicle - Performance evaluation of acoustic modem." In 2015 IEEE Underwater Technology (UT). IEEE, 2015. http://dx.doi.org/10.1109/ut.2015.7108327.
Full textSchmidt, Jan H., Aleksander M. Schmidt, and Iwona Kochanska. "Multiple-Input Multiple-Output Technique for Underwater Acoustic Communication System." In 2018 Joint Conference - Acoustics. IEEE, 2018. http://dx.doi.org/10.1109/acoustics.2018.8502439.
Full textFRANKLIN, JB, and PJ BARRY. "UNDERWATER ACOUSTIC COMMUNICATION CHANNEL CHARACTERIZATION AT LOW FREQUENCIES IN SHALLOW WATER." In Underwater Acoustic Communication 1993. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/20688.
Full textTUJAKA, S. "DESIGN OF QUASIORTHOGONAL CODE FOR BPSK SIGNALS AT ASYNCHRONOUS TRANSMISSION." In Underwater Acoustic Communication 1993. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/20694.
Full textReports on the topic "Underwater Acoustic Communicati"
Kilfoyle, Daniel B., and James C. Preisig. Application of Spatial Modulation to Underwater Acoustic Communication. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada626949.
Full textPreisig, James. Coupled Research in Ocean Acoustics and Signal Processing for the Next Generation of Underwater Acoustic Communication Systems. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada611046.
Full textPreisig, James. Coupled Research in Ocean Acoustics and Signal Processing for the Next Generation of Underwater Acoustic Communication Systems. Fort Belvoir, VA: Defense Technical Information Center, March 2015. http://dx.doi.org/10.21236/ada614150.
Full textPreisig, James. Coupled Research in Ocean Acoustics and Signal Processing for the Next Generation of Underwater Acoustic Communication Systems. Fort Belvoir, VA: Defense Technical Information Center, August 2015. http://dx.doi.org/10.21236/ada621218.
Full textPreisig, James. Coupled Research in Ocean Acoustics and Signal Processing for the Next Generation of Underwater Acoustic Communication Systems. Fort Belvoir, VA: Defense Technical Information Center, August 2015. http://dx.doi.org/10.21236/ada621219.
Full textPreisig, James. Coupled Research in Ocean Acoustics and Signal Processing for the Next Generation of Underwater Acoustic Communication Systems. Fort Belvoir, VA: Defense Technical Information Center, November 2015. http://dx.doi.org/10.21236/ada624104.
Full textKilfoyle, Daniel B., and Lee Freitag. Application of Spatial Modulation to the Underwater Acoustic Communication Component of Autonomous Underwater Vehicle Networks. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada437524.
Full textKilfoyle, Daniel B. Application of Spatial Modulation to the Underwater Acoustic Communication Component of Autonomous Underwater Vehicle Networks. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada633556.
Full textBeaujean, Pierre-Philippe, Steven Schock, and Andres Folleco. Development of a Synchronous High-Speed Acoustic Communication and Navigation System for Unmanned Underwater Vehicles. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada628859.
Full textZhou, Shengli. Advancing Underwater Acoustic Communication for Autonomous Distributed Networks via Sparse Channel Sensing, Coding, and Navigation Support. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada531929.
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