Dispersive FSO Performance Estimation with Gaussian Pulses and Laplace Modeled Time Jitter

Gripeos, P. J. and Oreinos, D. and Kriempardis, D. and Tsigopoulos, A. D. and Kapotis, E. and Katsis, A. and Nistazakis, H. E. (2023) Dispersive FSO Performance Estimation with Gaussian Pulses and Laplace Modeled Time Jitter. Computation, 11 (1). p. 6. ISSN 2079-3197

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Abstract

FSO communications tend to be one of most convenient, wireless, high-data-rate communications technologies of global telecom networking, and they are implemented and operated with low-cost resources. Despite their advantages, FSO systems’ performance is delimited by several physical phenomena, which act on propagating signal beams through the atmospheric path. Among other effects, chromatic dispersion and time jitter affect the shape and the detection instant of the incoming optical pulse, respectively. This results in signal fading and probable misdetections, and the signal fades along the propagation path due to power losses. Particularly, chromatic dispersion affects the width of the longitudinal information pulse, while the stochastic nature of the time jitter effect is treated with the use of a statistical model for the instantly received irradiance of the detecting pulse at the corresponding time slot. In this study, the symmetrical Laplace distribution was chosen for weak time jitter effect emulation because of its symmetry in pulse detection before or after the center of the specific timeslot. Thus, the joint influence of all three effects could considered, including all the parameters involved. Moreover, new-closed-form mathematical expressions were derived in order to accurately estimate the availability and the reliability of the FSO links under consideration. Next, using the derived mathematical forms, performance outcomes were presented for typical parameter values for realistic FSO links.

Item Type: Article
Subjects: East India Archive > Computer Science
Depositing User: Unnamed user with email support@eastindiaarchive.com
Date Deposited: 03 Jun 2023 07:33
Last Modified: 21 Oct 2024 04:02
URI: http://ebooks.keeplibrary.com/id/eprint/1289

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