Broad-band detection based on two-dimensional mixed autoregressive models

Author

Kay, Steven M. ; Nagesha, Venkatesh ; Salisbury, John

Author_Institution

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

Volume

41

Issue

7

fYear

1993

fDate

7/1/1993 12:00:00 AM

Firstpage

2413

Lastpage

2428

Abstract

Two detectors for broadband plane waves in colored noise fields that use a linear array are described. The signal spectrum, arrival angle, and noise field coloration are not known a priori. Using a two-dimensional mixed autoregressive model, a generalized-likelihood-ratio test and its weak-signal equivalent, the Rao test, are derived. The performances of the proposed detectors are shown by computer simulations to be superior to those of conventional Fourier-based methods. Detection results for real data are presented

Keywords

array signal processing; maximum likelihood estimation; parameter estimation; signal detection; Rao test; array processing; arrival angle; broadband plane waves; colored noise fields; generalized-likelihood-ratio test; linear array; signal detection; signal spectrum; two-dimensional mixed autoregressive models; weak-signal equivalent; Colored noise; Computer simulation; Detectors; Helium; Maximum likelihood detection; Maximum likelihood estimation; Random processes; Sensor arrays; Signal to noise ratio; Testing;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.224250

Filename

224250