Two-Dimensional Numerical Proof of Principle for Geometry-Encoded Acoustic Direction Finding with a Second-Order Pseudohyperboloidal-Profile (PHB-2) Boundary

Conventional sound-source localization derives direction of arrival from inter-sensor delay, phase, or level differences, leaving nearly all directional discrimination to the sensor array and to post-sampling processing. This work realizes the complementary principle: the passive boundary itself performs part of the measurement before digitization, converting different arrival directions into different internal spectral and spatial states. A deliberately shaped profile thus acts as an analog encoder of direction — a performing part of the sensing chain, not a passive housing. We implement this geometry-first principle with the meridional profile of a second-order pseudohyperboloid (PHB-2). The enabling construction is exact, not heuristic. Within a restricted inherited meridional focal-conjugate ray family, successive focal transfers obey t₍ₙ₊₁₎ = κtₙ with κ = (√(1+β²)−1)/(√(1+β²)+1); for β = b/a = 2, κ = 0.381966 — a closed-form contraction factor with no free fitting parameter. The corresponding inter-branch segments converge, as sets, to the limiting chord L₀ = {(x,ρ): |x|≤a, ρ=R} with transverse error O(κⁿ). The geometry therefore marks ρ = R as a non-arbitrary, mathematically defined candidate readout location. Planar scalar-wave simulations (direct FDTD and a MEEP H_z analogue with rigid-wall Neumann conditions) show that this geometry-first boundary produces a reproducible, direction-dependent complex state whose defining signature is state organization rather than loudness. Exact PHB separates from matched controls primarily in complex amplitude–phase: normalized spectral shapes differ by ≈54.7°–56.1° (median 53.90° over 41 positions) at nearly equal norm, full-field state angles reach 25.2°–31.8° at essentially equal response proxies, and in the compact Regime-B test PHB retains larger directional-state separation at every position (mean margin +3.17°) despite a −0.17 dB response-proxy gain. A decoder frozen before held-out evaluation recovers held-out bearings within the tested ±20° sector, and the geometry-motivated readout chord places sensors by directional information content rather than local sensitivity. The central claim is deliberate and scoped: exact PHB is an exact analytical reference geometry inside a PHB-centered encoding family, while nearby near-PHB profiles prove to be the stronger aggregate performers (MAE 0.737° vs 0.975° for exact PHB and 0.991° for the equal-area smooth control). The contribution is therefore an analytically structured, reproducible framework in which geometry demonstrably performs part of the direction-finding chain — not a claim of universal accuracy superiority over conventional localization.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22648152
Primary Topic
Aerodynamics and Acoustics in Jet Flows
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

Two-Dimensional Numerical Proof of Principle for Geometry-Encoded Acoustic Direction Finding with a Second-Order Pseudohyperboloidal-Profile (PHB-2) Boundary

Vladimir Khaustov
Zenodo (CERN European Organization for Nuclear Research)
Aerodynamics and Acoustics in Jet Flows
preprint

Two-Dimensional Numerical Proof of Principle for Geometry-Encoded Acoustic Direction Finding with a Second-Order Pseudohyperboloidal-Profile (PHB-2) Boundary

Vladimir Khaustov
preprint en

Abstract

Conventional sound-source localization derives direction of arrival from inter-sensor delay, phase, or level differences, leaving nearly all directional discrimination to the sensor array and to post-sampling processing. This work realizes the complementary principle: the passive boundary itself performs part of the measurement before digitization, converting different arrival directions into different internal spectral and spatial states. A deliberately shaped profile thus acts as an analog encoder of direction — a performing part of the sensing chain, not a passive housing. We implement this geometry-first principle with the meridional profile of a second-order pseudohyperboloid (PHB-2). The enabling construction is exact, not heuristic. Within a restricted inherited meridional focal-conjugate ray family, successive focal transfers obey t₍ₙ₊₁₎ = κtₙ with κ = (√(1+β²)−1)/(√(1+β²)+1); for β = b/a = 2, κ = 0.381966 — a closed-form contraction factor with no free fitting parameter. The corresponding inter-branch segments converge, as sets, to the limiting chord L₀ = {(x,ρ): |x|≤a, ρ=R} with transverse error O(κⁿ). The geometry therefore marks ρ = R as a non-arbitrary, mathematically defined candidate readout location. Planar scalar-wave simulations (direct FDTD and a MEEP H_z analogue with rigid-wall Neumann conditions) show that this geometry-first boundary produces a reproducible, direction-dependent complex state whose defining signature is state organization rather than loudness. Exact PHB separates from matched controls primarily in complex amplitude–phase: normalized spectral shapes differ by ≈54.7°–56.1° (median 53.90° over 41 positions) at nearly equal norm, full-field state angles reach 25.2°–31.8° at essentially equal response proxies, and in the compact Regime-B test PHB retains larger directional-state separation at every position (mean margin +3.17°) despite a −0.17 dB response-proxy gain. A decoder frozen before held-out evaluation recovers held-out bearings within the tested ±20° sector, and the geometry-motivated readout chord places sensors by directional information content rather than local sensitivity. The central claim is deliberate and scoped: exact PHB is an exact analytical reference geometry inside a PHB-centered encoding family, while nearby near-PHB profiles prove to be the stronger aggregate performers (MAE 0.737° vs 0.975° for exact PHB and 0.991° for the equal-area smooth control). The contribution is therefore an analytically structured, reproducible framework in which geometry demonstrably performs part of the direction-finding chain — not a claim of universal accuracy superiority over conventional localization.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Aerodynamics and Acoustics in Jet Flows
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.