Extraction of Bend-Resolved Modal Basis in Deformed Multimode Fiber
Lubomir Skvarenina, Stephen Simpson, Yashar Alizadeh, Martin Lavery
TL;DR
This work addresses the challenge of interpreting deformation-induced modal dynamics in bent multimode fibers by introducing a two-stage SVD framework that builds a deformation-resolved modal basis from speckle-field statistics. First, per-bend SVDs extract deformation-specific orthonormal mode sets from speckle-correlation matrices, then a second-stage SVD on the concatenated sets yields a global bend-resolved basis that robustly spans the deformation-induced subspace. The approach is data-driven and model-free, enabling deformation tracking, distributed sensing, and integration with mode-division multiplexing without requiring detailed fiber geometry or waveguide solutions. Practically, the resulting basis provides physically interpretable signatures of mechanical perturbations and supports predictive fault diagnostics in deployed fiber networks and sensing systems.
Abstract
Mode mixing in optical fibers caused by mechanical bending induces perturbations that distort the spatial field profile of coherent beams as they propagate through few-mode or multimode fibers. The observed output from a bent fiber commonly appears as complex speckle, which is challenging to relate directly to the underlying deformation, particularly in continuously varying systems such as aerially deployed fibers or fiber-integrated sensors in mechanical structures. We introduce a novel method for constructing a complete deformation-resolved orthonormal modal basis that captures the optical response of a multimode fiber across a range of controlled mechanical deformations. The basis is derived via a two-stage singular value decomposition framework that initially constructs deformation-specific orthonormal mode sets from speckle pattern correlation matrices and subsequently decomposes the aggregated sets to produce a unified functional basis that comprehensively spans the deformation-induced modal subspace supported by the fiber. This hierarchical framework yields an energy-balanced representation that isolates statistically dominant field components across all deformation states, approximates superpositions of the fiber's propagation-invariant modes, systematically encodes deformation-induced perturbations, and supports robust decomposition of output fields across varying mechanical conditions. Such a basis enables tracking of mechanically induced modal evolution in deployed fibers, supporting distributed sensing, network resilience, and predictive fault diagnostics, with potential for integration into mode-division multiplexing systems.
