Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization

This work presents a methodology for the joint calibration and synchronization of two arrays of microphones and loudspeakers. The problem is modeled as estimation of the rigid motion of one array with respect to the other, as well as estimation of the synchronization mismatch between the two. The pr...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Anton Kovalyov, Kashyap Patel, Issa Panahi
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Microphone array calibration localization synchronization PSO Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/b09836fe720b481787cfa250dc772fad
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:b09836fe720b481787cfa250dc772fad
record_format	dspace
spelling	oai:doaj.org-article:b09836fe720b481787cfa250dc772fad2021-11-18T00:11:39ZJoint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization2644-132210.1109/OJSP.2021.3118574https://doaj.org/article/b09836fe720b481787cfa250dc772fad2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9566708/https://doaj.org/toc/2644-1322This work presents a methodology for the joint calibration and synchronization of two arrays of microphones and loudspeakers. The problem is modeled as estimation of the rigid motion of one array with respect to the other, as well as estimation of the synchronization mismatch between the two. The proposed method uses dedicated signals emitted by the loudspeakers of the two arrays to compute a set of time of arrival (TOA) estimates. Through a simple transformation, estimated TOAs are converted into a set of linearly independent time difference of arrival (TDOA) measurements, which are modeled by a system of nonlinear equations in the unknown parameters of interest. A maximum likelihood estimate is then given as the solution to a nonlinear weighted least squares (NWLS) problem, which is optimized applying a parallelizable variant of Particle Swarm Optimization (PSO). In this paper, we also derive the Cramér-Rao lower bound (CRLB), and benchmark it against the proposed method in a series of Monte Carlo (MC) simulations. Results show that the proposed method attains high-performance comparable to the CRLB.Anton KovalyovKashyap PatelIssa PanahiIEEEarticleMicrophone arraycalibrationlocalizationsynchronizationPSOElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Open Journal of Signal Processing, Vol 2, Pp 535-544 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microphone array calibration localization synchronization PSO Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Microphone array calibration localization synchronization PSO Electrical engineering. Electronics. Nuclear engineering TK1-9971 Anton Kovalyov Kashyap Patel Issa Panahi Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization
description	This work presents a methodology for the joint calibration and synchronization of two arrays of microphones and loudspeakers. The problem is modeled as estimation of the rigid motion of one array with respect to the other, as well as estimation of the synchronization mismatch between the two. The proposed method uses dedicated signals emitted by the loudspeakers of the two arrays to compute a set of time of arrival (TOA) estimates. Through a simple transformation, estimated TOAs are converted into a set of linearly independent time difference of arrival (TDOA) measurements, which are modeled by a system of nonlinear equations in the unknown parameters of interest. A maximum likelihood estimate is then given as the solution to a nonlinear weighted least squares (NWLS) problem, which is optimized applying a parallelizable variant of Particle Swarm Optimization (PSO). In this paper, we also derive the Cramér-Rao lower bound (CRLB), and benchmark it against the proposed method in a series of Monte Carlo (MC) simulations. Results show that the proposed method attains high-performance comparable to the CRLB.
format	article
author	Anton Kovalyov Kashyap Patel Issa Panahi
author_facet	Anton Kovalyov Kashyap Patel Issa Panahi
author_sort	Anton Kovalyov
title	Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization
title_short	Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization
title_full	Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization
title_fullStr	Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization
title_full_unstemmed	Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization
title_sort	joint calibration and synchronization of two arrays of microphones and loudspeakers using particle swarm optimization
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/b09836fe720b481787cfa250dc772fad
work_keys_str_mv	AT antonkovalyov jointcalibrationandsynchronizationoftwoarraysofmicrophonesandloudspeakersusingparticleswarmoptimization AT kashyappatel jointcalibrationandsynchronizationoftwoarraysofmicrophonesandloudspeakersusingparticleswarmoptimization AT issapanahi jointcalibrationandsynchronizationoftwoarraysofmicrophonesandloudspeakersusingparticleswarmoptimization
_version_	1718425186418556928

Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization

Ejemplares similares