Azimuth/elevation direction finding using regular array geometries

Author

Swindlehurst, A. ; Kailath, T.

Author_Institution

Dept. of ELectr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA

Volume

29

Issue

1

fYear

1993

fDate

1/1/1993 12:00:00 AM

Firstpage

145

Lastpage

156

Abstract

The authors consider the problem of extending the estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm for multiple source, cochannel direction finding to the two-dimensional case (e.g., azimuth and elevation angle estimation). Two algorithms are presented, one based on the optimal (minimal variance) subspace fitting formulation of ESPRIT, and the other based on an approximation to it. The algorithms are applicable to antenna arrays composed of identical subarrays displaced in two dimensions, such as uniform rectangular phased arrays. Simulation results illustrating the relative performance of the algorithms are also presented

Keywords

antenna phased arrays; parameter estimation; radio direction-finding; signal processing; ESPRIT; Monte Carlo simulation; antenna arrays; azimuth direction finding; cochannel direction finding; elevation angle estimation; estimation of signal parameters; identical subarrays; minimal variance; multiple source; optimal subspace fitting; regular array geometries; rotational invariance techniques; two-dimensional case; uniform rectangular phased arrays; Antenna arrays; Approximation algorithms; Azimuth; Contracts; Directive antennas; Fitting; Geometry; Management information systems; Military computing; Multidimensional systems; Multiple signal classification; Phase estimation; Phased arrays;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.249120

Filename

249120