Efficient direction and polarization estimation with a COLD array

Author

Li, Jian ; Stoica, Petre ; Zheng, Dunmin

Author_Institution

Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL, USA

Volume

44

Issue

4

fYear

1996

fDate

4/1/1996 12:00:00 AM

Firstpage

539

Lastpage

547

Abstract

This paper considers angle and polarization estimation by means of a cocentered orthogonal loop and dipole (COLD) array. We show that by using the COLD array, the performance of both angle and polarization estimation can be greatly improved, as compared to using a crossed dipole array. We present an asymptotically statistically efficient method of direction estimation (MODE) algorithm that can be used with the COLD array for both angle and polarization estimation of correlated (including coherent) or uncorrelated incident signals. Numerical examples are given to show the better estimation performance of the MODE algorithm than that of the multiple signal classification (MUSIC) and the noise subspace-fitting (NSF) algorithms

Keywords

correlation methods; dipole antenna arrays; direction-of-arrival estimation; electromagnetic wave polarisation; COLD array; MODE algorithm; MUSIC algorithm; angle estimation; asymptotically statistically efficient method; cocentered orthogonal loop and dipole array; coherent incident signals; correlated incident signals; crossed dipole array; direction estimation; multiple signal classification; noise subspace-fitting algorithm; polarization estimation; statistical performance; uncorrelated incident signals; Antenna arrays; Dipole antennas; Electromagnetic wave polarization; Geometry; Multiple signal classification; Narrowband; Parameter estimation; Sensor arrays; Sensor phenomena and characterization; Signal processing algorithms;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/8.489306

Filename

489306