Impact of Various Weather Condition on the Performance of Free Space Optical Communication System

Kumar, Naresh; Sohal, Harsh

doi:10.1515/joc-2013-0060

Cited by 7 publications

(6 citation statements)

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“…Fog intensity is categorized based on the following parameters: temperature, particle size, humidity, water content, etc. However, particle size is considered for the distribution model in fog, such as in Gamma distribution [22], [23], [24]. Particle size is the only parameter to explain the event of fog.…”

Section: A Atmospheric Attenuationmentioning

confidence: 99%

Error Analysis of Free Space Communication System Using Machine Learning

2023

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Free space optical (FSO) communication offers huge bandwidth, license-free spectrum and a more secure channel. PIN diodes are normally used for detection, but avalanche photodiodes (APD) are preferred for detecting high-speed FSO signals in many applications. In the case of APD, the noise distribution is input-dependent Gaussian noise (IDGN) rather than input-independent Gaussian noise (IIGN). We investigate the error analysis using on-off keying (OOK) for various detection approaches. This paper proposes a machine learning approach and compares its performance with soft and hard decisions. Soft values in the case of IDGN and IIGN are derived, and the optimum and sub-optimum detection thresholds are evaluated. The proposed novel ML approach shows better performance gains than the other approaches. It is also demonstrated that the IDGN model should have an optimum detection and achieve a gain of 2.5[dB] and about 1[dB] at λ = 0[dB] and λ = 10[dB], respectively. Experimental results are plotted for the FSO channel data, and a model fit curve is plotted using the ML approach.INDEX TERMS Error analysis, machine learning, optical communications, hard decision, soft decision.

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Section: A Atmospheric Attenuationmentioning

confidence: 99%

Error Analysis of Free Space Communication System Using Machine Learning

2023

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“…Water particles and carbon dioxide are the main causes of absorbing optical signals whereas fog, rain, snow and clouds are the main causes of scattering optical signal in free space [6]. Atmospheric attenuation and unpredictability of weather conditions limits the communication distance and affects the link reliability [31], [32].…”

Section: A Atmospheric Attenuationmentioning

confidence: 99%

“…Also because of these inhomogeneities, the atmosphere acts like a set of small prisms and lenses that create random fluctuations in the optical beam during propagation [31], [35]. Optical scintillation is the result of these random fluctuations induced in the index of refraction [32], [35].…”

Section: B Optical Scintillationmentioning

confidence: 99%

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Hybrid Optical-Radio Transmission System Link Quality: Link Budget Analysis

2020

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From the last few decades' radio frequency (RF) spectrum remained attractive for wireless/wire-line applications. RF spectrum becomes dense and occupied, which makes its availability difficult to other broadband channels. Free space optical (FSO) communication, which was used for messaging/indication in the ancient days, now becomes more popular and attractive in the new era. The popularity of FSO is due to its freely available large spectrum, inherited secure links and ease of deployment. However, FSO link has to face certain challenges, e.g., line-of-sight (LOS) requirement, link attenuation due to atmospheric turbulence and severe weather conditions. To overcome the issues of FSO communication, hybrid optical-radio transmission system is proposed by which we can get maximum benefits of both spectrum. Considering the proposed transmission system link quality, link budget analysis is done in the presented work. Link budget design of transmission system is important to analyze and give recommendations. INDEX TERMS Free space communication (FSO), link budget analysis (LBA), radio frequency (RF), signal dependent Gaussian noise (SDGN), signal independent Gaussian noise (SIGN).

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“…Free-space optical communication (FSO) is considered one of the most promising alternatives in metropolitan and local area networks as a viable solution to the access network last mile problem, in which a compromise between the available data rates and the cost is desirable [1,2]. However, the performance of an FSO system is dependent on atmospheric conditions, particularly in the presence of aerosols (e.g., fog, smoke, sand-dust, and water vapour) which result in scattering and absorption effects [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of FSO Communications under Sand-Dust Conditions

Cao

Wang

et al. 2019

International Journal of Antennas and Propagation

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Sand-dust weather conditions are considered the primary challenge to free-space optical (FSO) communications. It may cause severe attenuation that is malignant to FSO link performance. This study investigates the impact of sand-dust particles on a laser signal using the radiation propagation method and the small-angle approximation method. Numerical simulation shows that in sand-dust weather conditions, the multiple scattering effect is dominant and results in signal pulse delay and pulse broadening. Furthermore, the signal attenuation follows a negative exponential distribution to the laser wavelength. Superior performance can be achieved by employing a longer wavelength laser to reduce pulse delay and mutual interference.

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Impact of Various Weather Condition on the Performance of Free Space Optical Communication System

Cited by 7 publications

References 0 publications

Error Analysis of Free Space Communication System Using Machine Learning

Error Analysis of Free Space Communication System Using Machine Learning

Hybrid Optical-Radio Transmission System Link Quality: Link Budget Analysis

Performance Evaluation of FSO Communications under Sand-Dust Conditions

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