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Статті в журналах з теми "Underwater Acoustic Localisation"
Sabra, Adham, and Wai-Keung Fung. "A Fuzzy Cooperative Localisation Framework for Underwater Robotic Swarms." Sensors 20, no. 19 (September 25, 2020): 5496. http://dx.doi.org/10.3390/s20195496.
Повний текст джерелаLončar, Ivan, Anja Babić, Barbara Arbanas, Goran Vasiljević, Tamara Petrović, Stjepan Bogdan, and Nikola Mišković. "A Heterogeneous Robotic Swarm for Long-Term Monitoring of Marine Environments." Applied Sciences 9, no. 7 (April 2, 2019): 1388. http://dx.doi.org/10.3390/app9071388.
Повний текст джерелаLee, Kun Chou. "Underwater acoustic localisation by GMM fingerprinting with noise reduction." International Journal of Sensor Networks 31, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijsnet.2019.10022954.
Повний текст джерелаLee, Kun Chou. "Underwater acoustic localisation by GMM fingerprinting with noise reduction." International Journal of Sensor Networks 31, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijsnet.2019.101568.
Повний текст джерелаGao, Wei, Jian Yang, Ju Liu, Hongyang Shi, and Bo Xu. "Moving Horizon Estimation for Cooperative Localisation with Communication Delay." Journal of Navigation 68, no. 3 (December 17, 2014): 493–510. http://dx.doi.org/10.1017/s037346331400085x.
Повний текст джерелаGlotzbach, Thomas, Mohammadreza Bayat, A. Pedro Aguiar, and Antonio Pascoal. "An Underwater Acoustic Localisation System for Assisted Human Diving Operations." IFAC Proceedings Volumes 45, no. 27 (2012): 206–11. http://dx.doi.org/10.3182/20120919-3-it-2046.00035.
Повний текст джерелаWon, Dae Ho, and Yeon Mo Yang. "A three-dimensional localisation algorithm for underwater acoustic sensor networks." International Journal of Computational Vision and Robotics 2, no. 3 (2011): 218. http://dx.doi.org/10.1504/ijcvr.2011.042840.
Повний текст джерелаXu, Zhizun, Maryam Haroutunian, Alan J. Murphy, Jeff Neasham, and Rose Norman. "An Underwater Visual Navigation Method Based on Multiple ArUco Markers." Journal of Marine Science and Engineering 9, no. 12 (December 15, 2021): 1432. http://dx.doi.org/10.3390/jmse9121432.
Повний текст джерелаGorma, Wael, Mark A. Post, James White, James Gardner, Yang Luo, Jongrae Kim, Paul D. Mitchell, Nils Morozs, Marvin Wright, and Qing Xiao. "Development of Modular Bio-Inspired Autonomous Underwater Vehicle for Close Subsea Asset Inspection." Applied Sciences 11, no. 12 (June 10, 2021): 5401. http://dx.doi.org/10.3390/app11125401.
Повний текст джерелаRossides, George, Alan Hunter, and Benjamin Metcalfe. "Source Localisation Using Wavefield Correlation-Enhanced Particle Swarm Optimisation." Robotics 11, no. 2 (April 18, 2022): 52. http://dx.doi.org/10.3390/robotics11020052.
Повний текст джерелаДисертації з теми "Underwater Acoustic Localisation"
Courcoux-Caro, Milan. "Conception optimisée d’antenne pour de la localisation passive de sources acoustiques." Thesis, Brest, École nationale supérieure de techniques avancées Bretagne, 2022. http://www.theses.fr/2022ENTA0001.
Повний текст джерелаThe objective of this thesis work is to propose an approach of array design for the localization of aerial or underwater acoustic sources. First, we will see how to describe the propagation of waves emitted by the sources. Then we will draw up the different methods allowing to estimate the positions of the sources from the measurements acquired by the sensors and from the propagation model. The bibliographic work on the field of acoustic source localization will highlight the importance of the sensors’ positions in the performance of the source position estimators. This will lead to a second bibliographic work on antenna design, and more precisely on the selection of sensor positions. The state of the art on antenna design methods will allow us to propose the following method: a sequential Bayesian data-driven selection. This approach takes into account the information contained in the measurements previously acquired in the pre-designed antenna, in order to select the future sensors. The application of this approach is innovative in the context of acoustic source localization. In a second step, first results realized on synthetic data prove to be promising for the application of this approach in an underwater acoustic source localization context. The analyses provided in this manuscript will allow to judge the relevance of this approach in the tested context, as well as to evaluate and compare the performance of this antenna design with the literature. Finally, we will apply this approach on real data from an experiment set up during the thesis. The propagation environment will be aerial in a closed reverberant room with a large number of available sensors. Acquiring real data will allow, in addition to evaluating the performance of our approach, to provide a new antenna design. This is designed from synthetic data and then applied to real data
Pottinger, Mark Gerard. "Localisation of underwater sensor nodes in confined spaces." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/localisation-of-underwater-sensor-nodes-in-confined-spaces(50095cdd-28a2-4a63-b683-80cbff55b6b1).html.
Повний текст джерелаOudompheng, Benoit. "Localisation et contribution de sources acoustiques de navire au passage par traitement d’antenne réduite." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT071/document.
Повний текст джерелаSince the surface ship radiated noise is the main contribution to the underwater acoustic noise in coastal waters, The Marine Framework Strategy Directive of the European Commission recommends the development of the monitoring and the reduction of the impact of the traffic noise. The need for developing an industrial system for the noise mapping of the surface ship have motivated this study, it will allow the naval industries to identify which part of the ship radiates the stronger noise level.In this context, this research work deals with the development of passive noise mapping methods of a surface ship passing-by above a static linear array with a reduced number of hydrophones. Two aspects of the noise mapping are considered: the localization of acoustic sources and the identification of the relative contribution of each source to the ship acoustic signature.First, a bibliographical study concerning the acoustic radiation of a passing-by surface ship is conducted in order to list the main acoustic sources and then to simulate representative ship sources. The acoustic propagation is simulated according to the ray theory and takes the source motion into account. The simulator of the acoustic radiation of a passing-by ship is built in order to validate the proposed noise mapping methods and to design an experimental set-up. A study about the influence of the source motion on the noise mapping methods led to the use of the beamforming method for moving sources for the source localization and a deconvolution method for the identification of the source contribution. The performances of both methods are assessed considering measurement noise and uncertainties about the propagation model in order to know their limitations. A first improvement of the beamforming method consists of a passive synthetic aperture array algorithm which benefits from the relative motion between the ship and the antenna in order to improve the spatial resolution at low frequencies. Then, an algorithm is proposed to acoustically correct the trajectography mismatches of a passing-by surface ship. Finally, the last part of this thesis concerns a pass-by experiment of a towed-ship model in a lake. These measurements allowed us to validate the proposed noise mapping methods and their proposed improvements, in a real and controlled environment
Conan, Ewen. "Traitements adaptés aux antennes linéaires horizontales pour la discrimination en immersion de sources Ultra Basse Fréquence." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0016/document.
Повний текст джерелаThis work focuses on acoustic source depth discrimination in the ultra-low frequency range (ULF, 0-500 Hz), using a horizontal line array. Depth discrimination is a binary classification problem, aiming to evaluate whether a received signal has been emitted by a source near the surface or by a submerged one. This could serve applications such as anti-submarine warfare or marine biology.The acoustic field generated by a ULF source can be described as a sum of modes, which properties depend on environment and source location. This modal propagation leads to modal dispersion: the different modes propagate at different velocities. This forbid the use of classical beamforming schemes. However, the horizontal array can be used as a spatial filter to estimate the properties of the modes: this is modal filtering. With a sufficient array length, modes are resolved, and the filtered modes can be used to localise the source using matched-mode processing. If the array is too short, the poorly-filtered modes cannot be used for localisation. Therefore, we are looking for a less precise but more robust information on source location, which leads to source depth discrimination.In this work, the poorly-filtered modes are used to decide whether the source is near the surface or submerged. Because some of the modes (the "trapped modes") are weakly excited by a surface source, we propose this decision relies on the estimation of the trapped energy ratio, i.e. the ratio of acoustic energy borne by trapped modes to the total acoustic energy. The problem of depth discrimination is then formulated as a binary hypothesis test on source depth. This physical formulation allows using Monte-Carlo methods and simulations to predict performance in a given context. This enables comparison between several estimators of the trapped energy ratio and the choice of a relevant threshold which this ratio is compared to in order to decide between the two hypotheses. The approach developped in the manuscript is validated by its application to marine experimental data. The results are consistent with the conclusions drawn from simulations. The proposed method enables the succesfull identification of both a surface source (the noise of a travelling ship) and a submerged source (a ULF source towed 30 m below the surface), using a 360-m horizontal array
Bouhier, Marie Edith. "Amélioration des performances en portée et en précision de localisation angulaire des systèmes de navigation sous-marine." Grenoble INPG, 1986. http://www.theses.fr/1986INPG0122.
Повний текст джерелаHan, Dong. "Caractérisation des objets enfouis par les méthodes de traitement d'antenne." Thesis, Aix-Marseille 3, 2011. http://www.theses.fr/2011AIX30003/document.
Повний текст джерелаThis thesis is devoted to the study of the localization of objects buried in underwater acoustic using array processing methods and acoustic waves. We have proposed a appropriate model, taking into account the water/sediment interface. The propagation modeling thus combines the reflected wave and the refracted wave to determine a new directional vector. The directional vector developed by acoustic scattering model is used in the MUSIC method instead of the classical plane wave model. This approach can estimate both of the object coordinates (angle and distance sensor-object) of known form, in near field or far field. We propose some fast algorithms without eigendecompostion. We combine DIRECT algorithm with spline interpolation to cope with the distorted antennas of many sensors, while maintaining a low computation time. To decorrelate the received signals, we firstly use a bilinear operator. We propose a method for the case of independent groups of correlated signals using the cumulants. Then we present a method using the cumulants matrix to eliminate Gaussian noise. But in practice, the noise is not always Gaussian or the characteristics are not always known. We develope two iterative methods to estimate the interspectral matrix of noise. The first algorithm is based on an optimization technique to extract iteratively the interspectral matrix of noise. The second algorithm uses the technique of maximum likelihood to estimate the signal parameters and the noise. Finally we test the proposed algorithms with experimental data. The results quality is very good
Kottege, Navinda. "Underwater Acoustic Localisation in the context of Autonomous Submersibles." Phd thesis, 2010. http://hdl.handle.net/1885/7106.
Повний текст джерелаЧастини книг з теми "Underwater Acoustic Localisation"
Espinosa, Jose, Mihalis Tsiakkas, Dehao Wu, Simon Watson, Joaquin Carrasco, Peter R. Green, and Barry Lennox. "A Hybrid Underwater Acoustic and RF Localisation System for Enclosed Environments Using Sensor Fusion." In Towards Autonomous Robotic Systems, 369–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96728-8_31.
Повний текст джерелаТези доповідей конференцій з теми "Underwater Acoustic Localisation"
Sliwka, Jan, Andrea Munafo, and Roberto Petroccia. "Bandwidth Efficient Concurrent Localisation and Communication in Underwater Acoustic Networks." In 2018 OCEANS - MTS/IEEE Kobe Techno-Ocean (OTO). IEEE, 2018. http://dx.doi.org/10.1109/oceanskobe.2018.8559166.
Повний текст джерелаCarevic, Dragana. "Localisation and tracking of underwater acoustic source using a modified particle filter." In OCEANS 2010 IEEE - Sydney. IEEE, 2010. http://dx.doi.org/10.1109/oceanssyd.2010.5603865.
Повний текст джерелаMunafo, Andrea, Thomas Furfaro, Gabriele Ferri, and Joao Alves. "Supporting AUV localisation through next generation underwater acoustic networks: Results from the field." In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2016. http://dx.doi.org/10.1109/iros.2016.7759219.
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