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ATM-FIR: IMPACT OF ATMOSPHERIC ATTENUATION ON FREE-SPACE OPTICAL COMMUNICATION IN COASTAL ENVIRONMENT
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Free space optical (FSO) communication uses optical beams to transmit data. In order to transmit data, line-of-sight must be maintained between the transmitter and receiver. Data rates are high, spectrum is license-free, and deployment costs are low with FSO links. However, atmospheric conditions contribute significantly to the degradation of FSO link performance. Furthermore, it is challenging for learning algorithms to determine the optimal threshold value. To overcome these challenges, a novel ATM-FIR model has been proposed for addresses the effect of atmospheric attenuation on FSO communication in coastal environments. It examines the environmental factors such as snow, rain, haze, fog, and dust impact the efficiency of optical wireless communications using an FSO system. The model considers atmospheric attenuation under different weather conditions, accounting for visibility and operating wavelengths in the context of FSO links. The optimized lipschitz exponent (OLE) is applied before transmission through the FSO medium in coastal areas. The OLE function is used to measure the informational data from atmospheric channels. On the receiver side, the system includes an optical filter, FDM, and a demultiplexer to convert the signal into an electrical form. The proposed models are validated across a wide range of temperature and humidity conditions, demonstrating strong performance in FSO connections within coastal environments
Title: ATM-FIR: IMPACT OF ATMOSPHERIC ATTENUATION ON FREE-SPACE OPTICAL COMMUNICATION IN COASTAL ENVIRONMENT
Description:
Free space optical (FSO) communication uses optical beams to transmit data.
In order to transmit data, line-of-sight must be maintained between the transmitter and receiver.
Data rates are high, spectrum is license-free, and deployment costs are low with FSO links.
However, atmospheric conditions contribute significantly to the degradation of FSO link performance.
Furthermore, it is challenging for learning algorithms to determine the optimal threshold value.
To overcome these challenges, a novel ATM-FIR model has been proposed for addresses the effect of atmospheric attenuation on FSO communication in coastal environments.
It examines the environmental factors such as snow, rain, haze, fog, and dust impact the efficiency of optical wireless communications using an FSO system.
The model considers atmospheric attenuation under different weather conditions, accounting for visibility and operating wavelengths in the context of FSO links.
The optimized lipschitz exponent (OLE) is applied before transmission through the FSO medium in coastal areas.
The OLE function is used to measure the informational data from atmospheric channels.
On the receiver side, the system includes an optical filter, FDM, and a demultiplexer to convert the signal into an electrical form.
The proposed models are validated across a wide range of temperature and humidity conditions, demonstrating strong performance in FSO connections within coastal environments.
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