Derives and validates a 5-step inversion protocol for recovering void coordinates (O, R, α) from platform behavioral observables. Demonstrates 96.2% recovery accuracy at the void pole under 10% noise using joint least-squares refinement, compared to 20.6% for sequential inversion alone. Provides identifiability analysis showing the measurement problem is well-conditioned precisely where it matters most—high-drift platforms—and establishes formal error bounds for automated platform scoring.
Anthony W. Eckert (Sun,) studied this question.