Title | OCEAN SOUND FIELD CHARACTERIZATION USING PROCESSING TECHNIQUES BASED ON NOISE SPATIAL COHERENCE |
Publication Type | Thesis |
Year of Publication | 2022 |
Authors | Shajahan, N |
Degree | Doctor of Philosophy |
Date Published | 04/2022 |
University | DALHOUSIE UNIVERSITY |
City | Halifax, Nova Scotia |
Thesis Type | PhD |
Abstract | The spatial coherence of ambient noise can be used for noise-based inversion studies using appropriate coherence models. The main findings of this thesis are presented in four chapters. In chapter 2, using a two-component noise coherence model (wind and shipping), an inversion scheme is developed to determine the relative and absolute contribution of frequency-dependent ship noise to the total sound field. A simple model of vertical coherence for a broadband acoustic source is developed in chapter 3 to understand the characteristics of the sound field produced by ships. In the fourth chapter, a map of vertical noise coherence is generated to study the environmental dependence of vertical coherence at the mesoscale. Finally, in chapter 5, a three-component (wind, close-range shipping, and distant wind and shipping) depth-dependent noise coherence model is developed to identify and partition the noise field in deep water. |
URL | https://DalSpace.library.dal.ca//handle/10222/81527 |