A signal model adapted ESPRIT algorithm for joint estimation of spatial and temporal parameters in vibrational analysis of cylinders
(2002) 2002 Sensor Array and Multichannel Signal Processing Workshop In 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings (Cat. No.02EX593) p.360364 Abstract
 This paper deals with the joint estimation of spatial mode shapes and temporal frequencies from transient vibrations measured by a uniform circular array of sensors encircling a crosssection of a cylinder. The geometry allows each 2D mode to be interpreted as two real planar waves impinging from mirrored directions with respect to the broadside of a uniform linear array. Algorithms for joint estimation tend, in the presence of noise, to produce signal roots that express planar waves impinging from only approximately mirrored directions. A recently published 2D ESPRIT algorithm is modified to take advantage of the geometry, and to force the estimated planar waves to impinge from exactly mirrored directions. This reduces the estimation... (More)
 This paper deals with the joint estimation of spatial mode shapes and temporal frequencies from transient vibrations measured by a uniform circular array of sensors encircling a crosssection of a cylinder. The geometry allows each 2D mode to be interpreted as two real planar waves impinging from mirrored directions with respect to the broadside of a uniform linear array. Algorithms for joint estimation tend, in the presence of noise, to produce signal roots that express planar waves impinging from only approximately mirrored directions. A recently published 2D ESPRIT algorithm is modified to take advantage of the geometry, and to force the estimated planar waves to impinge from exactly mirrored directions. This reduces the estimation errors; the main advantage is more easily interpreted results. Memory requirements and complexity are significantly lower for the modified algorithm, since the decomposition of a large data matrix may be broken down into several small ones (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/record/611384
 author
 Axmon, Joakim ^{LU} ; Hansson, M. and Sörnmo, Leif ^{LU}
 organization
 publishing date
 2002
 type
 Chapter in Book/Report/Conference proceeding
 publication status
 published
 subject
 keywords
 spatial mode shapes, cylinders, vibrational analysis, temporal parameters, spatial parameters, data matrix decomposition, modified algorithm, complexity reduction, memory requirements, estimation errors, mirrored directions, 2D ESPRIT algorithm, noise, signal roots, signal model adapted ESPRIT algorithm, joint estimation algorithms, temporal frequencies, transient vibrations, uniform circular sensors array, planar waves, uniform linear array
 in
 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings (Cat. No.02EX593)
 pages
 360  364
 publisher
 IEEEInstitute of Electrical and Electronics Engineers Inc.
 conference name
 2002 Sensor Array and Multichannel Signal Processing Workshop
 external identifiers

 wos:000181203600074
 scopus:33645368704
 ISBN
 0780375513
 DOI
 10.1109/SAM.2002.1191061
 language
 English
 LU publication?
 yes
 id
 0ba17fbfcbad49709dfc3ab88de754d0 (old id 611384)
 date added to LUP
 20071123 14:57:21
 date last changed
 20180529 11:12:00
@inproceedings{0ba17fbfcbad49709dfc3ab88de754d0, abstract = {This paper deals with the joint estimation of spatial mode shapes and temporal frequencies from transient vibrations measured by a uniform circular array of sensors encircling a crosssection of a cylinder. The geometry allows each 2D mode to be interpreted as two real planar waves impinging from mirrored directions with respect to the broadside of a uniform linear array. Algorithms for joint estimation tend, in the presence of noise, to produce signal roots that express planar waves impinging from only approximately mirrored directions. A recently published 2D ESPRIT algorithm is modified to take advantage of the geometry, and to force the estimated planar waves to impinge from exactly mirrored directions. This reduces the estimation errors; the main advantage is more easily interpreted results. Memory requirements and complexity are significantly lower for the modified algorithm, since the decomposition of a large data matrix may be broken down into several small ones}, author = {Axmon, Joakim and Hansson, M. and Sörnmo, Leif}, booktitle = {2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings (Cat. No.02EX593)}, isbn = {0780375513}, keyword = {spatial mode shapes,cylinders,vibrational analysis,temporal parameters,spatial parameters,data matrix decomposition,modified algorithm,complexity reduction,memory requirements,estimation errors,mirrored directions,2D ESPRIT algorithm,noise,signal roots,signal model adapted ESPRIT algorithm,joint estimation algorithms,temporal frequencies,transient vibrations,uniform circular sensors array,planar waves,uniform linear array}, language = {eng}, pages = {360364}, publisher = {IEEEInstitute of Electrical and Electronics Engineers Inc.}, title = {A signal model adapted ESPRIT algorithm for joint estimation of spatial and temporal parameters in vibrational analysis of cylinders}, url = {http://dx.doi.org/10.1109/SAM.2002.1191061}, year = {2002}, }