The performance of minimax spatial resampling filters for focussing wide-band arrays

Author

Krolik, Jeffrey ; Swingler, David

Author_Institution

Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada

Volume

39

Issue

8

fYear

1991

fDate

8/1/1991 12:00:00 AM

Firstpage

1899

Lastpage

1903

Abstract

The design and performance of linear shift-variant filters for coherent wideband processing are examined via spatial resampling. In particular, a minimax error criterion is used to obtain realizable resampling filters, and an approximate statistical analysis of wideband spatially resampled minimum variance spatial spectral estimation is presented. Simulation results indicate that spatial resampling provides a computationally efficient means of reducing the threshold observation time required to obtain high-resolution estimates of source location

Keywords

filtering and prediction theory; minimax techniques; signal processing; array processing; coherent wideband processing; high-resolution estimates; linear shift-variant filters; minimax spatial resampling filters; source location; spectral estimation; statistical analysis; threshold observation time; wideband arrays focusing; Covariance matrix; Frequency; Minimax techniques; Narrowband; Nonlinear filters; Position measurement; Sampling methods; Sensor arrays; Spatial resolution; Wideband;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.91162

Filename

91162