A distributed algorithm for robust LCMV beamforming

In this paper we propose a distributed reformulation of the linearly constrained minimum variance (LCMV) beamformer for use in acoustic wireless sensor networks. The proposed distributed minimum variance (DMV) algorithm, for which we demonstrate implementations for both cyclic and acyclic networks,...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 101 - 105
Hlavní autori: Sherson, Thomas, Kleijn, W. Bastiaan, Heusdens, Richard
Médium: Konferenčný príspevok.. Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 01.03.2016
Predmet:
acoustic
Acoustics
Algorithms
Array signal processing
Beamforming
Computation
Covariance matrices
Distributed
Electronics
LCMV
Microphones
Networks
Noise
Optimization
Robustness
Variance
Wireless sensor networks
ISSN:2379-190X
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract In this paper we propose a distributed reformulation of the linearly constrained minimum variance (LCMV) beamformer for use in acoustic wireless sensor networks. The proposed distributed minimum variance (DMV) algorithm, for which we demonstrate implementations for both cyclic and acyclic networks, allows the optimal beamformer output to be computed at each node without the need for sharing raw data within the network. By exploiting the low rank structure of estimated covariance matrices in time-varying noise fields, the algorithm can also provide a reduction in the total amount of data transmitted during computation when compared to centralised solutions. This is particularly true when multiple microphones are used per node. We also compare the performance of DMV with state of the art distributed beamformers and demonstrate that it achieves greater improvements in SNR in dynamic noise fields with similar transmission costs.
AbstractList In this paper we propose a distributed reformulation of the linearly constrained minimum variance (LCMV) beamformer for use in acoustic wireless sensor networks. The proposed distributed minimum variance (DMV) algorithm, for which we demonstrate implementations for both cyclic and acyclic networks, allows the optimal beamformer output to be computed at each node without the need for sharing raw data within the network. By exploiting the low rank structure of estimated covariance matrices in time-varying noise fields, the algorithm can also provide a reduction in the total amount of data transmitted during computation when compared to centralised solutions. This is particularly true when multiple microphones are used per node. We also compare the performance of DMV with state of the art distributed beamformers and demonstrate that it achieves greater improvements in SNR in dynamic noise fields with similar transmission costs.
Author Heusdens, Richard
Kleijn, W. Bastiaan
Sherson, Thomas
Author_xml – sequence: 1
  givenname: Thomas
  surname: Sherson
  fullname: Sherson, Thomas
  organization: Fac. of EEMCS, Delft Univ. of Technol., Delft, Netherlands
– sequence: 2
  givenname: W. Bastiaan
  surname: Kleijn
  fullname: Kleijn, W. Bastiaan
  organization: Fac. of EEMCS, Delft Univ. of Technol., Delft, Netherlands
– sequence: 3
  givenname: Richard
  surname: Heusdens
  fullname: Heusdens, Richard
  organization: Fac. of EEMCS, Delft Univ. of Technol., Delft, Netherlands
BookMark eNotUE1LxDAUjKLgdvUX7KVHL615eW2THpfiF1QUVsVbSZvXNdKPNWkP_nsLu3MZGIaZYQJ2MYwDMbYBHgPw_O652O52b7HgkMUykZAl6RkLIJH5AqXgnK0EyjyCnH9dscD7H865kolaMdyGxvrJ2XqeyIS624_OTt992I4udGM9-yksi5fPsCbdL1pvh_01u2x15-nmxGv28XD_XjxF5evjMqWMrEhximipBC2RDIIwEsG0Auo011QrSU3TEDdYI7RZhgunEhOZNVwZVLJFSbhmt8fcgxt_Z_JT1VvfUNfpgcbZV6BEmuQi5dli3Rytloiqg7O9dn_V6Qv8B5aRVCs
ContentType Conference Proceeding
Journal Article
DBID 6IE
6IH
CBEJK
RIE
RIO
7SP
8FD
L7M
DOI 10.1109/ICASSP.2016.7471645
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan (POP) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE/IET Electronic Library
IEEE Proceedings Order Plans (POP) 1998-present
Electronics & Communications Abstracts
Technology Research Database
Advanced Technologies Database with Aerospace
DatabaseTitle Technology Research Database
Advanced Technologies Database with Aerospace
Electronics & Communications Abstracts
DatabaseTitleList
Technology Research Database
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE/IET Electronic Library (IEL) (UW System Shared)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISBN 1479999881
9781479999880
EISSN 2379-190X
EndPage 105
ExternalDocumentID 7471645
Genre orig-research
GroupedDBID 23M
29P
6IE
6IF
6IH
6IK
6IL
6IM
6IN
AAJGR
AAWTH
ABLEC
ACGFS
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
IJVOP
IPLJI
M43
OCL
RIE
RIL
RIO
RNS
7SP
8FD
L7M
ID FETCH-LOGICAL-i253t-e3791a73ed312d731df21b59aeb87eccce0d3b31f6633b3573476c08d387f37e3
IEDL.DBID RIE
ISICitedReferencesCount 17
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000388373400021&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Thu Jul 10 23:49:39 EDT 2025
Wed Aug 27 02:07:44 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed false
IsScholarly true
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i253t-e3791a73ed312d731df21b59aeb87eccce0d3b31f6633b3573476c08d387f37e3
Notes ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
content type line 23
SourceType-Conference Papers & Proceedings-2
OpenAccessLink http://resolver.tudelft.nl/uuid:3aae12cd-8b85-4735-a5d0-24fefa7f994e
PQID 1825492506
PQPubID 23500
PageCount 5
ParticipantIDs ieee_primary_7471645
proquest_miscellaneous_1825492506
PublicationCentury 2000
PublicationDate 20160301
PublicationDateYYYYMMDD 2016-03-01
PublicationDate_xml – month: 03
  year: 2016
  text: 20160301
  day: 01
PublicationDecade 2010
PublicationTitle Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998)
PublicationTitleAbbrev ICASSP
PublicationYear 2016
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0008748
Score 2.102575
Snippet In this paper we propose a distributed reformulation of the linearly constrained minimum variance (LCMV) beamformer for use in acoustic wireless sensor...
SourceID proquest
ieee
SourceType Aggregation Database
Publisher
StartPage 101
SubjectTerms acoustic
Acoustics
Algorithms
Array signal processing
Beamforming
Computation
Covariance matrices
Distributed
Electronics
LCMV
Microphones
Networks
Noise
Optimization
Robustness
Variance
Wireless sensor networks
Title A distributed algorithm for robust LCMV beamforming
URI https://ieeexplore.ieee.org/document/7471645
https://www.proquest.com/docview/1825492506
WOSCitedRecordID wos000388373400021&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwEA_b8EFf_NjE-UUEH-3WNG2ufRzDoTDHYCp7K0lz1YFrZWv9-026OgV98Sl5OcjdhbvfJfdByDVKITWT4KhAa8cPpesocBMHleslKURMh1Wh8Bgmk3A-j6YNcrOthUHEKvkMe3Zb_eXrPCntU1nfBlDCD5qkCSA2tVpbqxuCH9ZdhZgb9e-Hg9lsalO3RK8mq-en_DK6lScZ7f_vDAek812SR6dbZ3NIGpgdkb0f3QTbhA-otm1w7QQr1FS-veQm8n9dUoNL6SpX5bqg4-HDM1UolxarGqoOeRrdPg7vnHomgrPwAl44yI38JHDUnHkaONOpx1QQSVQhGHUk6GquOEsNkjBrANwHkbih5iGkHJAfk1aWZ3hCqJ_6kAgweNH4eNAqcu3EaU9wJoX2WNIlbct-_L5pexHXnHfJ1Zf8YnMV7f-CzDAv1zGrok2DqcTp36RnZNcqZJPCdU5axarEC7KTfBSL9eqy0ucnnJCg9w
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwED_mFNQXP6Y4Pyv4aLemaZv2cQzHht0YbMreStJcdeBa2Vr_fpOuTkFffEpeDnJ34e53yX0A3CH3uCScmcKV0nR8bpmCWbGJwrLjhAVE-mWhcMhGI382C8Y1uN_UwiBimXyGLb0t__JlFhf6qaytAyjPcbdg23Uc21pXa23srs8cv-orRKygPeh2JpOxTt7yWhVhNUHll9ktfUnv4H-nOIST76I8Y7xxN0dQw_QY9n_0E2wA7RhSN8LVM6xQGvztJVOx_-vCUMjUWGaiWOVG2B0-GwL5QqNVRXUCT72HabdvVlMRzLnt0txEqiTIGUVJiS0ZJTKxiXADjsJnSiExWpIKShKFJdTqMuowL7Z8SX2WUIb0FOppluIZGE7isNhjCjEqL8-kCCw9c9r2KOGetEnchIZmP3pfN76IKs6bcPslv0hdRv3DwFPMilVEynhToSrv_G_SG9jtT4dhFA5Gjxewp5WzTui6hHq-LPAKduKPfL5aXpe6_QQtSaQ-
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=proceeding&rft.title=Proceedings+of+the+...+IEEE+International+Conference+on+Acoustics%2C+Speech+and+Signal+Processing+%281998%29&rft.atitle=A+distributed+algorithm+for+robust+LCMV+beamforming&rft.au=Sherson%2C+Thomas&rft.au=Kleijn%2C+W.+Bastiaan&rft.au=Heusdens%2C+Richard&rft.date=2016-03-01&rft.pub=IEEE&rft.eissn=2379-190X&rft.spage=101&rft.epage=105&rft_id=info:doi/10.1109%2FICASSP.2016.7471645&rft.externalDocID=7471645