Wideband nearfield array processing and wavelet transforms

Abstract

A wideband spatial processor for a near-field array of spatially separated and possibly moving sensors is described. The sensors are assumed to be imaging an environment containing spatially distributed, and possibly moving, sources. The processor combines several temporal and spatial wavelet transforms to produce a high-resolution spatial image of the environment. It removes the conventional (narrowband) assumptions, so that many more environments can be imaged. Rapidly moving, near-field sources can be localized with high resolution by using this method. Adding sensors to the array to view the environment yields further improvements in resolution. Each sensor added provides an additional degree of information about the environment.<>