Single-ended characterization of the coherent transfer matrix of coupled multimode transmission channels

Abstract

Light propagation in random media is a subject of interest to the optics community at large, with applications ranging from imaging to communication and sensing. However, real-time characterization of wavefront distortion in random media remains a major challenge. Compounding the difficulties, for many applications such as imaging (e.g., endoscopy) and focusing through random media, we only have single-ended access. In this work, we propose to represent wavefronts as superpositions of spatial modes. Within this framework, random media can be represented as a coupled multimode transmission channel. Once the distributed coherent transfer matrix of the channel is characterized, wavefront distortions along the path can be obtained. Fortunately, backreflections almost always accompany mode coupling and wavefront distortions. Therefore, we further propose to utilize backreflections to perform single-ended characterization of the coherent transfer matrix. We first develop the general framework for single-ended characterization of the coherent transfer matrix of coupled multimode transmission channels. Then, we apply this framework to the case of a two-mode channel, a single-mode fiber, which supports two randomly coupled polarization modes, to provide a proof-of-concept demonstration. Furthermore, as one of the main applications of coherent channel estimation, a polarization imaging system through single-mode fibers is implemented. We envision that the proposed method can be applied to both guided and free-space channels with a multitude of applications.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 21, 2023
Source ID
10.1364/prj.491967

Entities

People

  • Alireza Fardoost
  • Fatemeh Ghaedi Vanani
  • Guifang Li
  • Sethumadhavan Chandrasekhar

Organizations

  • Army Research Office
  • National Science Foundation
  • Nokia
  • University of Central Florida

Tags

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Optical Fiber Sensing and Electromagnetic Propagation.
  • Radio communications and signal processing.

Technology Areas

  • Space