Instructional simulation of direction of arrival using microphone array by neural network
Dissertant
University
University of Technology
Faculty
-
Department
Department of Electromechanical Engineering
University Country
Iraq
Degree
Ph.D.
Degree Date
2009
English Abstract
The aim of this research is to design an electroacoustic system, which works with estimating the sound source depending on single snapshot from received signal by using Neural Network (NN).
This system consists of four main stages.
The first stage is linear Nested Microphone Array (NMA) to get narrow beam-width with very low side-lobe to receive signals at frequency band (50-7200) Hz.
This array seems to be on-uniform distance but it consists of four uniform distance sub-arrays each one has a limited distance and frequency band.
It distributed as follows : the first sub-array has band frequency between (3600-7200)Hz and the distance between two adjacent microphones is 2.5cm, the second sub-array has band frequency between (lSO0-360O) fiz and the distance between two adjacent microphones is 5 cm, the third sub-array has band frequency between (900-1800)Hi and the distance between two adjacent microphones is 10 cm, the fourth sub-array has band frequency between (50-900)Hz and the distance between two adjacent microphones is 20 cm.
Two models of NMA are used the first model has 11 microphones where each sub-array has 5 microphones, the second model is proposed model has 29 microphones where each sub-array has 11 microphones, Two types of microphone used first type is omnidirectional microphone and second type is cardioids microphone.
The amplitudes distributed in two cases equal and Dolph Tschebyscheff amplitudes distribution.
By comparing the results found that by increasing number of microphones as in second model the beam-width is narrower than first model with less Side-Lobe Level (SLL), when using cardioids microphone the beam-width is unidirectional while with omnidirectional microphone the beam-width is bidirectional, when Dolph-Tschebyscheff
Main Subjects
Information Technology and Computer Science
Topics
American Psychological Association (APA)
al-Khuri, Daliyah Isam N.. (2009). Instructional simulation of direction of arrival using microphone array by neural network. (Doctoral dissertations Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-304978
Modern Language Association (MLA)
al-Khuri, Daliyah Isam N.. Instructional simulation of direction of arrival using microphone array by neural network. (Doctoral dissertations Theses and Dissertations Master). University of Technology. (2009).
https://search.emarefa.net/detail/BIM-304978
American Medical Association (AMA)
al-Khuri, Daliyah Isam N.. (2009). Instructional simulation of direction of arrival using microphone array by neural network. (Doctoral dissertations Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-304978
Language
English
Data Type
Arab Theses
Record ID
BIM-304978
