- This topic has 1 reply, 2 voices, and was last updated 11 years, 3 months ago by .
- You must be logged in to reply to this topic.
Optiwave software can be used in different industries and applications, including Fiber Optic Communication, Sensing, Pharma/Bio, Military & Satcom, Test & Measurement, Fundamental Research, Solar Panels, Components / Devices, etc..
OptiOmega is a collection of products specialized for photonic integrated circuit simulation. It automates the design flow for
generating compact models from device level simulations. The software package includes two solvers that can be used via
Python scripting: Vector Finite Difference (VFD) Mode Solver and Finite Difference Time Domain (FDTD) Electromagnetic Solvers.
Download our 30-day Free Evaluations, lab assignments, and other freeware here.Â
Optiwave software can be used in different industries and applications, including Fiber Optic Communication, Sensing, Pharma/Bio, Military & Satcom, Test & Measurement, Fundamental Research, Solar Panels, Components / Devices, etc..
OptiOmega is a collection of products specialized for photonic integrated circuit simulation. It automates the design flow for
generating compact models from device level simulations. The software package includes two solvers that can be used via
Python scripting: Vector Finite Difference (VFD) Mode Solver and Finite Difference Time Domain (FDTD) Electromagnetic Solvers.
Download our 30-day Free Evaluations, lab assignments, and other freeware here.Â
in this model using 4 Qam when i change the input power , the Q-factor doesn’t change to see the effect of fiber non-linearity , it just varies between 0 at lower and higher power levels , otherwise 1*e050 (i.e 10^50) but there is no variations in the value of Q-factor with changing power level , how to solve that .
Hi Mai,
The BER Analyzer approximates the BER by analyzing the eye diagram. Since there is a threshold detector before it the eye diagram is “perfect”, which results in the unrealistically high Q factor. For QAM modulation it would be better to use either the BER Test Set (with a suitably long sequence) or you could use the error vector magnitude metric, which is generally used for QAM signals. This is calculated by the electrical constellation visualizer.
Regards