Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Enhanced capon beamformer using regularized covariance matching
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-6855-5868
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2638-6047
2013 (English)In: 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), IEEE conference proceedings, 2013, 97-100 p.Conference paper, Published paper (Refereed)
Abstract [en]

The Capon method is a powerful nonparametric approach in array processing based on the sample covariance matrix. For small sample sets, however, its performance is degraded. In this paper we formulate a regularized covariance matching framework based on the nuclear norm for enhancing the Capon method. An approximate iterative solution is developed and tested using simulated data. Appropriate regularization parameter values are also inferred from the data, drawing upon the cross-validation approach. The results show significantly improved spatial spectral and signal waveform estimates.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. 97-100 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-138852DOI: 10.1109/CAMSAP.2013.6714016ISI: 000349915100025Scopus ID: 2-s2.0-84894181961ISBN: 978-1-4673-3146-3 (print)OAI: oai:DiVA.org:kth-138852DiVA: diva2:681856
Conference
2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 15-18 December 2013 in Saint Martin, French West Indies, France
Funder
Swedish Research Council, 621-2011-5847EU, European Research Council, 228044
Note

QC 20140127

Available from: 2013-12-20 Created: 2013-12-20 Last updated: 2015-12-07Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Jansson, MagnusChatterjee, Saikat

Search in DiVA

By author/editor
Zachariah, DaveJansson, MagnusChatterjee, Saikat
By organisation
Signal ProcessingACCESS Linnaeus CentreCommunication Theory
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 77 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf