Analysis of signal estimation using uncalibrated arrays

Author

Weiss, Anthony J. ; Friedlander, Benjamin ; Feldman, David D.

Author_Institution

Dept. of Electr. Eng., Tel Aviv Univ., Israel

Volume

3

fYear

1995

fDate

9-12 May 1995

Firstpage

1888

Abstract

We consider the problem of separating and estimating the waveforms of superimposed signals received using an array of uncalibrated sensors. The array elements are assumed to have the same unknown gain pattern, up to an unknown multiplicative factor. The phases of the elements are arbitrary and unknown. In this paper we analyze the quality of the estimated signal in terms of the output signal to interference ratio (SIRO) and output signal to noise ratio (SNRO). It is shown that uncalibrated arrays can be used successfully for signal separation and estimation using only second order moments. The analysis is verified by Monte Carlo experiments using an algorithm for steering vector estimation

Keywords

array signal processing; arrays; interference (signal); parameter estimation; signal reconstruction; Monte Carlo experiments; algorithm; array elements; estimated signal quality; gain pattern; multiplicative factor; output signal to interference ratio; output signal to noise ratio; phases; second order moments; signal analysis; signal estimation; signal reconstruction; signal separation; steering vector estimation; superimposed signals; uncalibrated arrays; uncalibrated sensors; Algorithm design and analysis; Estimation; Interference; Narrowband; Performance analysis; Sensor arrays; Signal analysis; Signal to noise ratio; Source separation; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480580

Filename

480580