Min-norm linear prediction for arbitrary sensor arrays

Author

Li, Fu ; Vaccaro, Richard J. ; Tufts, Donald W.

Author_Institution

Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA

fYear

1989

Firstpage

2613

Abstract

The authors present a min-norm algorithm for estimating the directions of arrival of signals impinging on a sensor array of arbitrary geometry. The algorithm is an extension of the min-norm algorithm derived by R. Kumaresan and D.W. Tufts (1983) for the case of a uniform line array. A perturbation analysis for this arbitrary array min-norm method is also presented, and analytical formulas that predict the variance of the estimated directions are given. Simulations with a circular array demonstrate the algorithm as well as verify the performance analysis

Keywords

filtering and prediction theory; parameter estimation; perturbation techniques; signal detection; signal processing; arbitrary sensor arrays; array processing; circular array; direction of arrival estimation; linear prediction; min-norm algorithm; perturbation analysis; variance; Analysis of variance; Direction of arrival estimation; Geometry; Multiple signal classification; Performance analysis; Polynomials; Radar signal processing; Sensor arrays; Signal processing algorithms; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Conference_Location

Glasgow

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1989.267003

Filename

267003