Focused wide-band array processing by spatial resampling

The authors present a novel approach for coherently focusing wideband data received by a linear array of sensors. The proposed preprocessing consists of adjusting the spatial sampling rate, or spatially resampling the array outputs as a function of temporal frequency so that broadband sources are aligned in the spatial frequency domain. Spatial resampling has the advantage that it can reduce each wideband source in multigroup multiple-source scenarios to essentially a rank-one representation without preliminary estimates or a priori knowledge of the spatial distribution of the sources. Preliminary simulations performed using a well-known digital interpolation method to implement spatial resampling with the MUSIC spectral estimator have yielded promising results