Compensating rain induced impairments in terrestrial FSO links using aperture averaging and receiver diversity

Soni, Gireesh G.; Tripathi, Abhishek Kumar; Mandloi, Abhilash; Gupta, Shilpi

doi:10.1007/s11082-019-1962-1

Cited by 17 publications

(2 citation statements)

References 9 publications

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“…Third, it facilitates controlling the density and type of dust particles. Note that such controlled environments were used in many studies in the literature for emulating fog [27], scintillation [28], rain [29], and dust [30]. In order to mimic the impact of a dusty communication channel on the quality of the transmitted spatial modes, we design a 90 × 40 × 40 cm 3 controlled-environment chamber where the dust particles are homogeneously distributed using fans installed at the bottom of the chamber (see Fig.…”

Section: Experimental Methodologymentioning

confidence: 99%

Identifying structured light modes in a desert environment using machine learning algorithms

et al. 2020

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The unique orthogonal shapes of structured light beams have attracted researchers to use as information carriers. Structured light-based free space optical communication is subject to atmospheric propagation effects such as rain, fog, and rain, which complicate the mode demultiplexing process using conventional technology. In this context, we experimentally investigate the detection of Laguerre Gaussian and Hermite Gaussian beams under dust storm conditions using machine learning algorithms. Different algorithms are employed to detect various structured light encoding schemes including the use of a convolutional neural network (CNN), support vector machine, and k-nearest neighbor. We report an identification accuracy of 99% under a visibility level of 9 m. The CNN approach is further used to estimate the visibility range of a dusty communication channel.

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Section: Experimental Methodologymentioning

confidence: 99%

Identifying structured light modes in a desert environment using machine learning algorithms

et al. 2020

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“…On the other hand, the introduction of wireless connectivity at optical frequencies offers high data capacities, while allowing rapid and dynamic deployment. Free space optics (FSO) technology may be used as an alternative to optical fiber for backhaul connectivity [6][7][8]. The key advantages of FSO are reconfigurability, unlicensed spectrum, high transmission rates, inherent security and insusceptibility to electromagnetic interference [9,10].…”

Section: Introductionmentioning

confidence: 99%

Radio-over-free space optical space division multiplexing system using 3-core photonic crystal fiber mode group multiplexers

Amphawan

Chaudhary²,

Neo

et al. 2020

Wireless Netw

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Outage and SNR Performance of Tropical Optical Wireless Links Using Receiver Diversity

Soni

2020

Communications in Computer and Information Science

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Compensating rain induced impairments in terrestrial FSO links using aperture averaging and receiver diversity

Cited by 17 publications

References 9 publications

Identifying structured light modes in a desert environment using machine learning algorithms

Identifying structured light modes in a desert environment using machine learning algorithms

Radio-over-free space optical space division multiplexing system using 3-core photonic crystal fiber mode group multiplexers

Outage and SNR Performance of Tropical Optical Wireless Links Using Receiver Diversity

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