Semiconductor laser modeling with ANFIS

Erbium-doped fiber amplifiers (EDFAs) have great importance in long-distance communication. It is required to have equal gain for all signals that are transferred and to avoid loss in the receiver of long-distance communication systems. However, temperature dependence changes the output spectrum of the designed gain-flattening systems. In this study, each erbium-doped fiber (EDF) length of a two-stage L-band EDFA has been optimized using a genetic algorithm method; because of the temperature dependence of EDFAs, there is no general rule. Thus, a simple, fast, dynamic, and highly accurate model has been developed and obtained for different EDF lengths that will fix gain along the L-band. The results have been shown to be very compatible with the previously obtained numerical values.

“…Artificial intelligence methods are commonly used in nonlinear systems with no exact solution [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Optimization with genetic algorithm of temperature-dependent fiber length of L-band EDFA gain

Yücel

Mustafa²

2016

“…It has 3 main characteristics [1][2][3][4][5][6][7][8][9]: gain [10][11][12][13][14][15][16][17], refractive index change [18,19], and alpha parameter [20][21][22][23]. This study is closely related to the gain, which also affects the other characteristic quantities.…”

Section: Introductionmentioning

confidence: 99%

The detailed analysis of rate equation roots of BH-laser diode using Volterra series

Yıldırım¹,

Karaarslan

2015

Abstract:In this study, the rate equation analysis of a BH-laser diode was performed for output carrier density ( No) using the zero-degree solution of the Volterra series. The carrier rate equation of the laser diode was analyzed in terms of input carrier density ( Ni) and output carrier density modeling ( Ni − No) , with respect to the DC current ( Io) .The polynomial root, which is obtained from the zero-degree solution ( No) and limit values of Io , was found. For the linear operation of the laser diode, the range of Io current was also determined using a linearization approach and the maximum value of No .

“…In the literature, there are many theoretical mathematical models proposed for laser diodes and optical-based systems . In recent years, there were also intelligent models proposed for optical gain [36][37][38][39][40][41][42][43][44][45][46][47][48][49], the Henry factor [50][51][52][53], refractive index change with injection current [54], and all other characteristic quantities [41,[55][56][57][58][59][60][61] for the purpose of quick design and simulation of such systems.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic approach to Henry factor for distributed feedback laser case

Çavuşoğlu¹

2014

Abstract:In this study, a simple approach for intelligent modeling of the Henry factor ( α -alpha parameter, antiguiding factor, phase-amplitude coupling factor) or the so-called linewidth enhancement factor, which is an actual analysis and design parameter for semiconductor laser diodes and optical communication systems, is proposed based on the fuzzy logic (FL) phenomenon. The proposed FL-based model easily computes the Henry factor in terms of different wavelengths and injection current levels (i.e. the inputs of the model). The experimental data belong to a distributed feedback laser, obtained from amplified spontaneous emission spectra, which is among the techniques required for the characterization of semiconductor lasers. For the Henry factor, the suggested method's approximation provides predictions within the accuracy level of 95%-99.99%.