- Open Access
Passive acoustic non-line-of-sight localization without a relay surface
Phys. Rev. Applied 25, 024064 – Published 20 February, 2026
DOI: https://doi.org/10.1103/p97k-sf71
Abstract
The detection and localization of a source hidden outside the line-of-sight (LOS) traditionally rely on the acquisition of indirect signals, such as those reflected from visible relay surfaces such as floors or walls. These reflected signals are then utilized to reconstruct the obscured scene. In this study, we present an approach that utilizes signals diffracted from an obstacle edge to achieve three-dimensional localization of an acoustic point source situated outside the LOS. The key to the present method is that it removes the dependency on a relay surface for localization. We address two scenarios—a doorway and a convex corner—and propose a localization method for each of them. For the first scenario, we utilize the two edges of the door as virtual detector arrays. For the second scenario, we exploit the spectral signature of a knife-edge diffraction, inspired by the human perception of sound location by the head-related transfer function. In both methods, knife-edge diffraction is utilized to extend the capabilities of non-line-of-sight (NLOS) acoustic sensing, enabling localization in environments where conventional relay-surface based approaches may be limited.
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References (23)
- D. Faccio, A. Velten, and G. Wetzstein, Non-line-of-sight imaging, Nat. Rev. Phys. 2, 318 (2020).
- A. Velten, T. Willwacher, O. Gupta, A. Veeraraghavan, M. G. Bawendi, and R. Raskar, Recovering three-dimensional shape around a corner using ultrafast time-of-flight imaging, Nat. Commun. 3, 745 (2012).
- G. Gariepy, F. Tonolini, R. Henderson, J. Leach, and D. Faccio, Detection and tracking of moving objects hidden from view, Nat. Photonics 10, 23 (2016).
- M. O’Toole, D. B. Lindell, and G. Wetzstein, Confocal non-line-of-sight imaging based on the light-cone transform, Nature 555, 338 (2018).
- D. B. Lindell, G. Wetzstein, and V. Koltun, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (Long Beach, California, USA, 2019), p. 6780.
- R. Czajkowski and J. Murray-Bruce, Two-edge-resolved three-dimensional non-line-of-sight imaging with an ordinary camera, Nat. Commun. 15, 1162 (2024).
- K. L. Bouman, V. Ye, A. B. Yedidia, F. Durand, G. W. Wornell, A. Torralba, and W. T. Freeman, in Proceedings of the IEEE International Conference on Computer Vision (Venice, Italy, 2017), p. 2270.
- S. W. Seidel, J. Murray-Bruce, Y. Ma, C. Yu, W. T. Freeman, and V. K. Goyal, Two-dimensional non-line-of-sight scene estimation from a single edge occluder, IEEE Trans. Comput. Imaging 7, 58 (2020).
- J. Boger-Lombard, Y. Slobodkin, and O. Katz, Non-line-of-sight passive acoustic localization around corners, Sci. Rep. 13, 4952 (2023).
- J. Boger-Lombard and O. Katz, Passive optical time-of-flight for non line-of-sight localization, Nat. Commun. 10, 3343 (2019).
- O. Katz, P. Heidmann, M. Fink, and S. Gigan, Non-invasive single-shot imaging through scattering layers and around corners via speckle correlations, Nat. Photonics 8, 784 (2014).
- O. Katz, E. Small, and Y. Silberberg, Looking around corners and through thin turbid layers in real time with scattered incoherent light, Nat. Photonics 6, 549 (2012).
- T. Sultan, S. A. Reza, and A. Velten, Towards a more accurate light transport model for non-line-of-sight imaging, Opt. Express 32, 7731 (2024).
- X. Liu, S. Bauer, and A. Velten, Phasor field diffraction based reconstruction for fast non-line-of-sight imaging systems, Nat. Commun. 11, 1645 (2020).
- E. C. Jordan, Electromagnetic Waves and Radiating Systems (Prentice-Hall, 1958), p. 499.
- C. L. Giovaneli, An analysis of simplified solutions for multiple knife-edge diffraction, IEEE Trans. Antennas Propag. 32, 297 (1984).
- G. Millington, R. Hewitt, and F. S. Immirzi, Double knife-edge diffraction in field-strength predictions, Proc. IEE-Part C: Monogr. 109, 419 (1962).
- E. M. Wenzel, M. Arruda, D. J. Kistler, and F. L. Wightman, Localization using nonindividualized head-related transfer functions, J. Acoust. Soc. Am. 94, 111 (1993).
- C. I. Cheng and G. H. Wakefield, Introduction to head-related transfer functions (HRTFs): Representations of HRTFs in time, frequency, and space, J. Audio Eng. Soc. 49, 231 (2001).
- V. Bruschi, L. Grossi, N. A. Dourou, A. Quattrini, A. Vancheri, T. Leidi, and S. Cecchi, A review on head-related transfer function generation for spatial audio, Appl. Sci. 14, 11242 (2024).
- B. E. Treeby and B. T. Cox, -Wave: matlab toolbox for the simulation and reconstruction of photoacoustic wave fields, J. Biomed. Opt. 15, 021314 (2010).
- B. E. Treeby, J. Budisky, El. S. Wise, J. Jaros, and B. T. Cox, Rapid calculation of acoustic fields from arbitrary continuous-wave sources, J. Acoust. Soc. Am. 143, 529 (2018).
- See the Supplemental Material at http://link.aps.org/supplemental/10.1103/p97k-sf71 for the -Wave simulation parameters, the Fresnel integral simulation parameters, a source and noise spectrum comparison, an investigation regarding the origin of spectral modulations in our experiments, and a matlab code for our -Wave simulation.