The Performance of Minimax Spatial Resampling Filters for Focusing Wide-Band Arrays

Published

Journal Article

In recent research, coherent focusing of wideband data received by a linear array of sensors has been achieved by adjusting the spatial sampling rate, or “spatially resampling” the array outputs, as a function of temporal frequency. Spatial resampling permits each wideband source in multigroup multiple source scenarios to be represented by a rank-one model without preliminary estimates of the spatial distribution of the sources. This correspondence examines the design and performance of linear shift-variant filters for coherent wideband processing 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. © 1991 IEEE

Full Text

Duke Authors

Cited Authors

  • Krolik, J; Swingler, D

Published Date

  • January 1, 1991

Published In

Volume / Issue

  • 39 / 8

Start / End Page

  • 1899 - 1903

Electronic International Standard Serial Number (EISSN)

  • 1941-0476

International Standard Serial Number (ISSN)

  • 1053-587X

Digital Object Identifier (DOI)

  • 10.1109/78.91162

Citation Source

  • Scopus