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  • Research Article
  • Open Access

Blind PARAFAC Signal Detection for Polarization Sensitive Array

EURASIP Journal on Advances in Signal Processing20072007:012025

  • Received: 27 September 2006
  • Accepted: 16 April 2007
  • Published:


This paper links the polarization-sensitive-array signal detection problem to the parallel factor (PARAFAC) model, which is an analysis tool rooted in psychometrics and chemometrics. Exploiting this link, it derives a deterministic PARAFAC signal detection algorithm. The proposed PARAFAC signal detection algorithm fully utilizes the polarization, spatial and temporal diversities, and supports small sample sizes. The PARAFAC algorithm does not require direction-of-arrival (DOA) information and polarization information, so it has blind and robust characteristics. The simulation results reveal that the performance of blind PARAFAC signal detection algorithm for polarization sensitive array is close to nonblind MMSE method, and this algorithm works well in array error condition.


  • Temporal Diversity
  • Small Sample Size
  • Information Technology
  • Analysis Tool
  • Error Condition

Authors’ Affiliations

Electronic Engineering Department, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China


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© X. Zhang and D. Xu. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.