Acoustic trajectory correction to improve mapping of moving sources
Barbara Nicolas, Benoit Oudompheng, Lucille Lamotte · Proceedings of meetings on acoustics · 2016
In the context of pass-by experiments, moving-source mapping is classically performed using the extension of conventional beamforming to moving sources: beamforming-MS. The main issue of moving-source mapping is the knowledge of the trajectory of the moving vehicle that contains the sources. Indeed, trajectory errors induce localization artefacts in beamforming results, which can degrade beamforming-MS performance and bias physical interpretations of the localization results. This paper suggests an original method to acoustically correct trajectography mismatches, using a first beamforming-MS computation, in order to improve moving-source mapping results. Experimental results of aerial pass-by experiments demonstrate the improvements to the mapping results using this trajectory correction.