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Στατιστική επεξεργασία ακουστικών σημάτων στη θάλασσα και εντοπισμός ακουστικών υπογραφών

Mikroulakis Georgios

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URI: http://purl.tuc.gr/dl/dias/AFEE41C4-BF3C-4463-BCC1-027C14878CDC
Year 2020
Type of Item Master Thesis
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Bibliographic Citation Γεώργιος Μικρουλάκης, "Στατιστική επεξεργασία ακουστικών σημάτων στη θάλασσα και εντοπισμός ακουστικών υπογραφών", Μεταπτυχιακή Διατριβή, Πολυτεχνείο Κρήτης:Σχολή Μηχανικών Παραγωγής και Διοίκησης, Στρατιωτική Σχολή Ευελπίδων, Χανιά, Ελλάς, 2020 https://doi.org/10.26233/heallink.tuc.90035
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Summary

The dissertation deals with the application of modern methods of statistical processing of acoustic signals obtained from a passive array of hydrophones at sea to detect acoustic signatures and explore the possibility of developing a reliable underwater surveillance system in the Aegean region.Chapter 1 analyzes the basic principles of propagation of sound waves in the sea and the phenomena that affect it. Sound is the only means of researching targets under the surface of the sea, so its knowledge is the basis for understanding the topics covered in this dissertation.Chapter 2 develops the basic theories and techniques of digital signal processing. In this context, the high-resolution algorithm "MUSIC" is presented, which will be applied for the passive detection of acoustic "signatures".In Chapter 3, an introduction is made to the Anti-Submarine Warfare in order to understand the need for dominance in the submarine field of operations and the contribution of sound detection systems to this purpose. Then the principles of their operation are presented, with emphasis on passive systems, as well as their main categories.In Chapter 4, an operational analysis of the geographical and deep thermographic conditions of the Aegean Sea is performed in order to determine the extent to which the morphology of the seabed affects the propagation of acoustic signals and to calculate the losses of acoustic intensity as a function of distance.In Chapter 5 the "MUSIC" algorithm is applied in a simulation environment, the findings are presented, the results are documented and evaluated.In Chapter 6, the results of the operational analysis of the Aegean and the application of the "MUSIC" algorithm are utilized to determine the possibility and benefits of developing an underwater surveillance system in the Aegean from passive hydrophone arrays.

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