Univ-vector-sensor ESPRIT for multi-source azimuth-elevation angle-estimation

Kainam Thomas Wong, Michael D. Zoltowski

Research output: Journal article publicationConference articleAcademic researchpeer-review

10 Citations (Scopus)


This paper proposes a novel eigenstructure ESPRIT-based azimuth-elevation direction-finding (DF) algorithm that exploits the 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 y-axis direction-cosines, reduces hardware and computational costs greatly, eliminates array inter-element calibration, can resolve up to five narrowband non-coherent sources, but uses only a single vector-sensor and two time-delayed data sets. Uni-Vector-Sensor ESPRIT is based on a matrix-pencil pair of temporally-displaced data sets collected from one single vector-sensor consisting of six spatially co-located non-isotropic polarization-sensitive antennas, measuring all six electromagnetic-field components of the incident wave-field. It impressively out-performs customary unpolarized scalar-sensor phased-arrays of comparable array-manifold size and computational load. In one scenario, Uni-Vector-Sensor ESPRIT offers 33 dB SNR gain or a 7-fold reduction in hardware and software complexity.
Original languageEnglish
Pages (from-to)1368-1371
Number of pages4
JournalIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Publication statusPublished - 1 Jan 1996
Externally publishedYes
EventProceedings of the 1996 AP-S International Symposium & URSI Radio Science Meeting. Part 1 (of 3) - Baltimore, MD, United States
Duration: 21 Jul 199626 Jul 1996

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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