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Multi-rank adaptive beamforming
Colorado State University, Fort Collins.
Colorado State University, Fort Collins.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
2005 (English)In: 2005 IEEE/SP 13th Workshop on Statistical Signal Processing: Bordeaux, France, 17 - 20 July 2005, Piscataway, NJ: IEEE Communications Society, 2005, 307-312 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a multi-rank generalization of the Capon beamformer to accommodate model mismatch in situations where the unknown signal of interest lies in a multidimensional subspace. By expanding the beamforming subspace robustness (or diversity) is achieved at the expense of resolution. The generalization involves solving a quadratically-constrained quadratic minimization problem, and designing a constraint matrix. Three strategies for designing this constraint matrix are discussed. Simulation examples are presented to demonstrate the performance of the multi-rank Capon beamformer.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2005. 307-312 p.
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-32841Local ID: 7742d620-959b-11db-8975-000ea68e967bISBN: 0-7803-9404-6 (print)OAI: oai:DiVA.org:ltu-32841DiVA: diva2:1006075
Conference
IEEE/SP Workshop on Statistical Signal Processing : 17/07/2005 - 20/07/2005
Note
Godkänd; 2005; 20061227 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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