Novel shooting algorithm for highly efficient analysis of fiber Raman amplifiers

Han, Qun; Ning, Jiping; Zhang, Huayong; Chen, Zhiqiang

doi:10.1109/jlt.2006.871008

Cited by 28 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…When the values presented in Table 3 are investigated in terms of gain ripple, it is seen that different parameters are used in each study 10 , 12 – 14 , 18 , 19 , 33 Some have different fiber lengths, and some have different pump and signal numbers. For this reason, it does not seem possible to make an objective comparison in terms of gain ripple.…”

Section: Resultsmentioning

confidence: 99%

“… – 16 Some researchers have tried to flatten the gain at the optimal level by improving their algorithms to not fall into the local optimum in the solution of equations. Some researchers have focused on solving the non-linear FRA problem in the shortest time and with the least error and have tried to solve the boundary value problem with methods 16 – 21 such as Euler, trapezoid, midpoint, Adams-Bashforth, Runge-Kutta, shooting, etc. However, when the studies in the field are examined, traditional algorithms have generally been suggested for the solution, and constrained satisfaction methods have been developed to avoid the local maximum.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Solution of fiber Raman amplifier model using binary search equation-based adaptive artificial bee colony algorithm

2023

View full text Add to dashboard Cite

Due to the need for high bandwidth, there is growing interest in distributed fiber Raman amplifiers (FRA). In addition to having wide bandwidth, FRAs have the advantages of a low noise factor and simplicity of use. However, the optimization of the wavelength and power values of the pump lasers to be used in FRAs for a broadband and flat gain region is an important problem to be solved. In this study, a distributed FRA system was set using 100 signals with a 50-km propagation distance and 8 pump signals in the opposite direction, which were gain-flattened. The attenuation coefficient of SMF-28 type optical fiber was used in the system. First, optimum pump wavelengths and power levels were found by the binary search equation based adaptive artificial bee colony algorithm. Then, the FRA boundary value problem (BVP) was solved with the MATLAB BVP solver. Finally, the analytical Jacobian matrix required for the solution of the equation was included in the system, and faster and more effective results were obtained. The results show that the gain ripple of 100 optical signals was 0.5 dB at the maximum.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Solution of fiber Raman amplifier model using binary search equation-based adaptive artificial bee colony algorithm

2023

View full text Add to dashboard Cite

show abstract

“…The Rayleigh scattering coefficient B of pure silica is found to be ~0.63 dBμm 4 /km, and S denotes the capture fraction by the fiber, such that a fraction S .α RS ( λ ) = 1.3 × 10 −7 m −1 [50] is recaptured by the fiber. The capture fraction is defined as the proportion of the total energy scattered at z which is recaptured by the fiber in the return direction that increases with ( NA ) 2 [48,51,52].…”

Section: Rate Equationsmentioning

confidence: 99%

Gain Saturation in Optical Fiber Laser Amplifiers

Eilchi¹,

Parvin²

2016

Fiber Laser

View full text Add to dashboard Cite

“…Ayrıca sinyallerin birbirleri arasındaki boşluklar ve pompaların alabileceği en büyük ve en küçük dalga boyları her çalışma için birbirlerinden farklı olduğu gözlemlenmiştir [7,23,24]. Bununla birlikte sinyallerin iletim mesafeleri incelendiğinde çalışmalar arasında farklılıklar olduğu göze çarpmaktadır[25,26]. Bu gözlemler ışığında, oluşturulan FRY sistemi ve İADAYAK algoritmasının işletilmesi sonucu 4, 8 adet pompa ve 100 sinyal kullanılarak elde edilen net kazanç değerleri diğer çalışmalarda ulaşılan net kazanç değerlerine kıyasla daha başarılı olduğu gözlemlenmiştir.…”

unclassified

Kazancı düzleştirilmiş fiber raman yükselteç modelinin ikili arama denklemli adaptif yapay arı kolonisi (İADAYAK) algoritması ile optimizasyonu

Yolcu

Yücel

Aydın³

2023

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

View full text Add to dashboard Cite

Yüksek bant genişliğine duyulan ihtiyaç sebebiyle dağınık fiber Raman yükselteçlerine (FRY) olan ilgi artmaktadır. FRY’ler geniş bant aralığını kullanmasının yanında düşük gürültü faktörü avantajı ve kullanımdaki basitlik ile de ön plana çıkmaktadır. Bu çalışmada SMF-28 türü fiberlerde kazancı düzleştirilmeye çalışılan 50 km mesafeye sahip bir fiber hatta ilerleyen 100 adet optik sinyale zıt yönde sırasıyla 4, 8, 16 adet pompa sinyali göndererek dağınık fiber raman yükselteç sistemi kurulmuştur. Kurulan sistemde sinyal kazancını düzleştirmek için lineer olmayan FRY modeli, optimizasyon problemi olarak tanımlanarak ikili arama denklemli adaptif yapay arı kolonisi algoritması (İADAYAK) ile çözülmüştür. Sonuçlar incelendiğinde 4 adet pompa kullanılarak elde edilen ortalama net kazanç farkı 0,16 dB, net kazanç farkı ise 0 ± 0,4 dB olarak bulunmuştur. 8 adet pompa kullanılarak elde edilen ortalama net kazanç farkı 0,043 dB, net kazanç farkı ise 0 ± 0,1 dB olarak ortaya çıkmıştır. 16 adet pompa kullanılarak elde edilen ortalama net kazanç farkı 0,028 dB, net kazanç farkı ise 0 ± 0,05 dB olarak tespit edilmiştir. Yapay zekâ teknolojisi kapsamında üretilen algoritmaların gelişmesi paralelinde bu çalışmaya benzer çözüm performanslarının gelişeceği ve bu sayede elde edilen verimin artacağı düşünülmektedir.

show abstract

Novel shooting algorithm for highly efficient analysis of fiber Raman amplifiers

Cited by 28 publications

References 12 publications

Solution of fiber Raman amplifier model using binary search equation-based adaptive artificial bee colony algorithm

Solution of fiber Raman amplifier model using binary search equation-based adaptive artificial bee colony algorithm

Gain Saturation in Optical Fiber Laser Amplifiers

Kazancı düzleştirilmiş fiber raman yükselteç modelinin ikili arama denklemli adaptif yapay arı kolonisi (İADAYAK) algoritması ile optimizasyonu

Contact Info

Product

Resources

About