Wideband, nearfield processing of spatially distributed sources using multiple wavelet transforms

Research output: Contribution to conferencePaper

Abstract

Beamforming is not valid for nearfield sensor array processing or for wideband signal processing. Instead, a wideband spatial processor is required. This paper describes a new, wideband spatial processor for an array of spatially separated sensors used to image an environment containing spatially distributed sources. The processor is formulated with wavelet transforms and is shown to be effective in processing wideband signals. Significant improvements in resolution and gain result as sensors are added to the array.

Original languageEnglish (US)
Pages1.16.1-1.16.2
DOIs
Publication statusPublished - Jan 1 1992
Event1992 Digital Signal Processing Workshop, DSPWS 1992 - Utica, United States
Duration: Sep 13 1992Sep 16 1992

Conference

Conference1992 Digital Signal Processing Workshop, DSPWS 1992
CountryUnited States
CityUtica
Period9/13/929/16/92

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All Science Journal Classification (ASJC) codes

  • Signal Processing

Cite this

Weiss, L. G. (1992). Wideband, nearfield processing of spatially distributed sources using multiple wavelet transforms. 1.16.1-1.16.2. Paper presented at 1992 Digital Signal Processing Workshop, DSPWS 1992, Utica, United States. https://doi.org/10.1109/DSPWS.1992.665526