Bayesian Focusing Transformation for coherent wideband array processing

In this paper, we develop a Bayesian focusing transformation (BFT) for wideband array processing which utilizes a weighted extension of the wavefield interpolated narrowband generated subspace (WINGS) focusing approach, also derived here. The BFT minimizes the mean-square error of the transformation, thus, achieving improved focusing accuracy over the entire bandwidth. We also propose a time progressing Bayesian focused beamformer which incorporates a direction finding stage. Experimental results demonstrate the performance of the BFT compared to other focusing schemes and show some of the benefits achieved by the BFT in adaptive beamforming applications.