Uni-Vector-Sensor ESPRIT for Multisource AzimuthElevation, and Polarization Estimation

Kainam Thomas Wong, Michael D. Zoltowski

Research output: Journal article publicationJournal articleAcademic researchpeer-review

264 Citations (Scopus)


This paper introduces a novel eigenstructure-based algorithm uni-vector-sensor ESPRIT that yields closed-form direction-of-arrival (DOA) estimates and polarization estimates using one electromagnetic vector sensor. A vector sensor is composed of six spatially co-located rcorcisotropic polarizationsensitive antennas, measuring all six electromagnetic field components of the incident wave field. Uni-vector-sensor ESPRIT is based on a matrix-pencil pair of temporally displaced data sets collected from a single electromagnetic vector sensor. The closed-form parameter estimates are obtained through a vector cross-product operation on each decoupled signalsubspace eigenvector of the data correlation matrix. This method exploits the electromagnetic sources' polarization diversity in addition to their spatial diversity, requires no a priori knowledge of signal frequencies, suffers no frequency-DOA ambiguity, pairs automatically the x-axis direction cosines with the j/-axis direction cosines, eliminates array interelement calibration, can resolve up to five completely polarized uncorrelated monochromatic sources from near field or far field. It impressively out-performs an array of spatially displaced identically polarized antennas of comparable array-manifold size and computational load.
Original languageEnglish
Pages (from-to)1467-1474
Number of pages8
JournalIEEE Transactions on Antennas and Propagation
Issue number10
Publication statusPublished - 1 Dec 1997
Externally publishedYes


  • Antenna arrays
  • Array signal processing
  • Direction of arrival estimation
  • Diversity
  • Eigenvalues/eigenfunctions, frequency estimation
  • Polarization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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