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.
|Number of pages||4|
|Journal||IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)|
|Publication status||Published - 1 Jan 1996|
|Event||Proceedings of the 1996 AP-S International Symposium & URSI Radio Science Meeting. Part 1 (of 3) - Baltimore, MD, United States|
Duration: 21 Jul 1996 → 26 Jul 1996
ASJC Scopus subject areas
- Electrical and Electronic Engineering