Estimating two-dimensional directions of arrival of narrow band sources

Author

Yin, Qin-ye ; Newcomb, Robert W. ; Zou, Li-He

Author_Institution

Microsyst. Lab., Maryland Univ., College Park, MD, USA

fYear

1990

fDate

24-27 Sep 1990

Firstpage

389

Abstract

A new approach to making high-resolution estimates of two-dimensional (2-D) directions of arrival (DOA) of multiple narrowband sources for a rectangular sensor array is presented. By fully using the properties of the autocovariance and cross-covariance matrices, the authors construct a new matrix called the generalized DOA matrix method. Theoretical analysis shows that 2-D signal direction vectors may be obtained from the eigendecomposition of the generalized DOA matrix. Without 2-D searches, the method is highly efficient in computation. Simulation results are given to illustrate its good performance

Keywords

eigenvalues and eigenfunctions; matrix algebra; parameter estimation; signal detection; 2-D signal direction vectors; autocovariance matrix; computational efficiency; cross-covariance matrix; eigendecomposition; generalized DOA matrix method; high-resolution estimates; multiple narrowband sources; rectangular sensor array; two-dimensional directions of arrival; Additive noise; Computational modeling; Control engineering; Covariance matrix; Direction of arrival estimation; Educational institutions; Narrowband; Sensor arrays; Signal analysis; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Communication Systems, 1990. IEEE TENCON'90., 1990 IEEE Region 10 Conference on

Print_ISBN

0-87942-556-3

Type

conf

DOI

10.1109/TENCON.1990.152639

Filename

152639