Bootstrapped low complex iterative LDPC decoding algorithms for free-space optical communication links

In recent years, much research has been devoted to free-space optical communication (FSO). The unregulated spectrum, low implementation costs, and robust security of FSO systems all are of great importance which lead to a wide range of applications for FSO links, from terrestrial communications to s...

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Vydané v:EURASIP journal on wireless communications and networking Ročník 2023; číslo 1; s. 78 - 24
Hlavný autor: Youssef, Albashir A.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cham Springer International Publishing 16.08.2023
Springer Nature B.V
SpringerOpen
Predmet:
Algorithms
Atmospheric models
Atmospheric turbulence
Bit error rate
Channels
Communications Engineering
Complexity
Decoders
Decoding
Engineering
Error correcting codes
Free space optics
Free-space optical communication
FSO
Information Systems Applications (incl.Internet)
Iterative methods
LDPC
Links
Misalignment
Networks
Probability density functions
Refractivity
Satellite communications
Signal,Image and Speech Processing
LDPC
FSO
ISSN:1687-1499, 1687-1472, 1687-1499
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Popis
Shrnutí:In recent years, much research has been devoted to free-space optical communication (FSO). The unregulated spectrum, low implementation costs, and robust security of FSO systems all are of great importance which lead to a wide range of applications for FSO links, from terrestrial communications to satellite communications. However, the fundamental limitation with FSO links is atmospheric turbulence (AT) caused by fading, significantly reducing link performance. Random phenomena are the best characteristic of atmospheric turbulence caused by changes in the air’s refractive index over time. Numerous probability density functions of the AT models were presented to model the randomness in AT channels. The Log-Normal (LN) channel model is for weak atmospheric turbulence, while the Gamma–Gamma (G–G) channel is selected for moderate and strong atmospheric turbulence. The impacts of geometric losses, attenuation due to weather, and errors due to misalignment are addressed using LN and G–G channels. Channel coding is one of the possible solutions for mitigating such FSO channel impairments as the low-density parity check (LDPC) codes. In this article, the Weighted Bit Flipping (Algorithm (1)), Implementation Efficient Reliability Ratio Weighted Bit Flipping (Algorithm (2)), and Min-Sum (Algorithm (3)) algorithms are compared and evaluated against FSO atmospheric turbulence channels. In addition, two novel algorithms are proposed to enhance the complexity or Bit Error Rate performance of LDPC decoding over FSO channels. The results showed an impressive improvement of the coded FSO system by employing the proposed algorithms compared to the existing LDPC decoders for FSO communications from the point of all comparison parameters.
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ISSN:1687-1499
1687-1472
1687-1499
DOI:10.1186/s13638-023-02285-w