B-CLEAN-SC: CLEAN-SC for broadband sources

TL;DR

B-CLEAN-SC is an improved broadband source localization method that processes frequency intervals collectively, enhancing accuracy and noise suppression without increasing computational effort.

Contribution

It introduces a novel processing approach for broadband sources by averaging over frequency intervals, improving localization accuracy over traditional CLEAN-SC.

Findings

Enhanced source localization accuracy at low and high frequencies

Better noise suppression in reconstructed sources

No additional computational effort required

Abstract

This paper presents B-CLEAN-SC, a variation of CLEAN-SC for broadband sources. Opposed to CLEAN-SC, which ``deconvolves'' the beamforming map for each frequency individually, B-CLEAN-SC processes frequency intervals. Instead of performing a deconvolution iteration at the location of the maximum level, B-CLEAN-SC performs it at the location of the over-frequency-averaged maximum to improve the location estimation. The method is validated and compared to standard CLEAN-SC on synthetic cases, and real-world experiments, for broad- and narrowband sources. It improves the source reconstruction at low and high frequencies and suppresses noise, while it only increases the need for memory but not computational effort.