Deterministic Cramér-Rao bound for symmetric PARAFAC model with application to blind spatial signature estimation

Yue Rong, S. A. Vorobyov, A. B. Gershman, N. D. Sidiropoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The symmetric parallel factor analysis (PARAFAC) model has found numerous applications in array signal processing and communications. We derive the deterministic Cramer-Rao bound (CRB) for the symmetric RARAFAC model and illustrate the obtained results using an example with spatial signature estimation in sensor arrays.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages411-414
Number of pages4
ISBN (Electronic)0780382927, 9780780382923
DOIs
StatePublished - Jan 1 2003
Event3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003 - Darmstadt, Germany
Duration: Dec 14 2003Dec 17 2003

Publication series

NameProceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003

Conference

Conference3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003
CountryGermany
CityDarmstadt
Period12/14/0312/17/03

Keywords

  • Additive noise
  • Antenna arrays
  • Array signal processing
  • Covariance matrix
  • Data models
  • Gaussian noise
  • Sensor arrays
  • Signal analysis
  • Signal processing algorithms
  • Symmetric matrices

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