The Performance of Minimax Spatial Resampling Filters for Focusing Wide-Band Arrays
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
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Published In
DOI
EISSN
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Networking & Telecommunications