IRUS Total

Acoustic characterisation of the roughness of reflective surfaces

File Description SizeFormat 
Dawson-PJ-2021-PhD-Thesis.pdfThesis7.55 MBAdobe PDFView/Open
Title: Acoustic characterisation of the roughness of reflective surfaces
Authors: Dawson, Peter James
Item Type: Thesis or dissertation
Abstract: The field of rough surface classification is largely focused on optical solutions. There are situations however, where an acoustic method for obtaining information about a surface's texture is required. This thesis investigates the relationship between acoustic reflections from rough surfaces and the resulting signals at a microphone array, and develops methods to find information about the reflecting surface from the array signals in order to build up the knowledge of the object's characteristics for identification. Two methods are explored. The first method exploits the relationship between the distribution of visible image-sources and the surface roughness to achieve an estimation of its parameters. The method requires knowledge of image-sources, so an investigation is carried out into methods for localising image-sources of reflections from a rough surface when presented with microphone array signals and geometry and assuming knowledge of the source signal and geometry. The second method uses an interferometry based method with a tailored source signal in order to probe a surface for a roughness. The contrast of signal power at the microphone array as the centre frequency is varied is explored, and the ability of the resulting contrast profiles in classifying surface roughness is assessed. The methods are assessed using a dataset of reflections from rough surfaces, modelled using BEM, from which microphone array signals can be extracted.
Content Version: Open Access
Issue Date: Jan-2021
Date Awarded: Jun-2021
URI: http://hdl.handle.net/10044/1/91054
DOI: https://doi.org/10.25560/91054
Copyright Statement: Creative Commons Attribution NonCommercial Licence
Supervisor: Naylor, Patrick
Sponsor/Funder: Engineering and Physical Sciences Research Council
Funder's Grant Number: EP/M507878/1
Department: Electrical and Electronic Engineering
Publisher: Imperial College London
Qualification Level: Doctoral
Qualification Name: Doctor of Philosophy (PhD)
Appears in Collections:Electrical and Electronic Engineering PhD theses

This item is licensed under a Creative Commons License Creative Commons