A PARAFAC-based technique for detection and localization of multiple targets in a MIMO radar system

Dimitri Nion, Nikolaos Sidiropoulos

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

82 Scopus citations

Abstract

In this paper, we show that the problem of detection and localization of multiple targets in a bistatic MIMO radar system can be solved by Parallel Factor (PARAFAC) analysis. Our method is deterministic and fully capitalizes on the strong algebraic structure of the received data, where the Radar Cross Section (RCS) fluctuation is not regarded as a nuisance parameter but rather as a source of time diversity. Simulation results show that our technique outperforms existing beamforming-based radar imaging methods at a lower complexity.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
Pages2077-2080
Number of pages4
DOIs
StatePublished - Sep 23 2009
Event2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, Taiwan, Province of China
Duration: Apr 19 2009Apr 24 2009

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
CountryTaiwan, Province of China
CityTaipei
Period4/19/094/24/09

Keywords

  • DOA-DOD estimation
  • MIMO radars
  • PARAFAC

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