The Resilience of Hermite- and Laguerre-Gaussian Modes in Turbulence
arXiv:1901.07203 · doi:10.1109/JLT.2019.2905630
Abstract
Vast geographical distances in Africa are a leading cause for the so-called "digital divide" due to the high cost of installing fibre. Free-Space Optical (FSO) communications offer a convenient and higher bandwidth alternative to point-to-point radio microwave links, with the possibility of re-purposing existing infrastructure. Unfortunately, the range of high bandwidth FSO remains limited. While there has been extensive research into an optimal mode set for FSO to achieve maximum data throughput by mode division multiplexing, there has been relatively little work investigating optical modes to improve the resilience of FSO links. Here we experimentally show that a carefully chosen subset of Hermite-Gaussian modes is more resilient to atmospheric turbulence than similar Laguerre-Gauss beams, theoretically resulting in a 167% theoretical increase of propagation distance at a mode dependent loss of 50%.
References in corpus (6)
- Communication with spatially modulated Light through turbulent Air across Vienna
- Twisted Light Transmission over 143 kilometers
- Orbital angular momentum entanglement in turbulence
- On the Resilience of Scalar and Vector Vortex Modes in Turbulence
- Spatial-Mode Diversity and Multiplexing for FSO Communication with Direct Detection
- Spatial Mode Diversity for Robust Free-Space Optical Communications
Cited by in corpus (11)
- Structured Light in Turbulence
- Robust structured light in atmospheric turbulence
- The orbital angular momentum of a turbulent atmosphere and its impact on propagating structured light fields
- Hermite-Gaussian Mode Detection via Convolution Neural Networks
- Enhanced Atmospheric Turbulence Resiliency with Successive Interference Cancellation DSP in Mode Division Multiplexing Free-Space Optical Links
- Phenomenology of complex structured light in turbulent air
- Identification of diffracted vortex beams at different propagation distances using deep learning
- Tailoring light to create invariant modal spectra through complex channels
- Universal compressive tomography in the time-frequency domain
- Modelling the Memory of Turbulence-Induced Beam Wander
- Controlled modulation of optical energy in the high order Hermite-Gaussian laser modes