Optimal Interference Signal for Masking an Acoustic Source
Hongyun Wang, Hong Zhou

TL;DR
This paper develops a theoretical and computational framework to design interference signals that effectively mask acoustic sources in a target region, enhancing acoustic privacy and security.
Contribution
It introduces analytical solutions for spherical symmetry cases and an efficient numerical method for asymmetric sources, advancing acoustic masking techniques.
Findings
Analytical quasi-steady solutions for spherical symmetry cases.
Superposition approach for masking in target regions.
Numerical method for non-spherical acoustic sources.
Abstract
In an environment where acoustic privacy or deliberate signal obfuscation is desired, it is necessary to mask the acoustic signature generated in essential operations. We consider the problem of masking the effect of an acoustic source in a target region where possible detection sensors are located. Masking is achieved by placing interference signals near the acoustic source. We introduce a theoretical and computational framework for designing such interference signals with the goal of minimizing the residual amplitude in the target region. For the three-dimensional (3D) forced wave equation with spherical symmetry, we derive analytical quasi-steady periodic solutions for several canonical cases. We examine the phenomenon of self-masking where an acoustic source with certain spatial forcing profile masks itself from detection outside its forcing footprint. We then use superposition of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNumerical methods in inverse problems · Spectral Theory in Mathematical Physics · Sparse and Compressive Sensing Techniques
