TY - GEN
T1 - Estimation of Sensor Array Signal Model Parameters Using Factor Analysis
AU - Koutrouvelis, Andreas I.
AU - C. Hendriks, Richard
AU - Heusdens, Richard
AU - Jensen, Jesper
PY - 2019/11/18
Y1 - 2019/11/18
N2 - Factor analysis is a popular tool in multivariate statistics, applied in several areas of study such as psychology, economics, chemistry and signal processing. Given a set of observed random variables, factor analysis aims at explaining and analyzing the correlation between these random variables. This is done by finding a meaningful structural model representation for the correlation matrix of the observed random variables, and subsequently estimating the underlying model parameters. In this paper, we focus on factor analysis methods applied to a commonly used signal model for sensor arrays applications and use it to jointly estimate the underlying model parameters. In addition we discuss practical considerations of these methods.
AB - Factor analysis is a popular tool in multivariate statistics, applied in several areas of study such as psychology, economics, chemistry and signal processing. Given a set of observed random variables, factor analysis aims at explaining and analyzing the correlation between these random variables. This is done by finding a meaningful structural model representation for the correlation matrix of the observed random variables, and subsequently estimating the underlying model parameters. In this paper, we focus on factor analysis methods applied to a commonly used signal model for sensor arrays applications and use it to jointly estimate the underlying model parameters. In addition we discuss practical considerations of these methods.
KW - Factor analysis
KW - Sensor array
KW - Signal processing
UR - https://cas.tudelft.nl/pubs/koutrouvelisEusipco2019.pdf
UR - http://eusipco2019.org/wp-content/uploads/2019/08/Programa_Eusipco19final_0829.pdf
UR - http://www.scopus.com/inward/record.url?scp=85075593023&partnerID=8YFLogxK
U2 - 10.23919/EUSIPCO.2019.8902967
DO - 10.23919/EUSIPCO.2019.8902967
M3 - Article in proceeding
SN - 978-1-5386-7300-3
T3 - European Signal Processing Conference (EUSIPCO)
SP - 1
EP - 5
BT - 27th European Signal Processing Conference, EUSIPCO 2019
PB - IEEE
T2 - 27th European Signal Processing Conference, EUSIPCO 2019
Y2 - 2 September 2019 through 6 September 2019
ER -