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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
Hi all,
I am testing a 10 bit ADC of 16GHz sampling rate.
The ideal SNR for ADC = 6.02(N) + 1.76 and for 10 bits it would give 61.96dB.
Due to fft, processing gain pushes down the noise floor by 10log(M/2) where M is the number of samples, and for 4096 samples, processing gain is 33.1.
So following the image attached, the noise floor must be SNR + Processing gain = 61.98+33.1 = 95 db but through simulations, it is not so. The noise floor comes around 102db as shown in the image.
Can anyone explain why is this so ?
Simulated Result
PFA
Hi Jamal,
Could you please upload the osd file of the design.
Then i will try to sort out the problem if i could.
i am unable to understand properly the issues related to your designs.
As you have 16GHz sampling rate, but at the same time you have taken M is the number of samples, and for 4096 samples for calculation of :
Due to fft, processing gain pushes down the noise floor by 10log(M/2) where M is the number of samples, and for 4096 samples, processing gain is 33.1.
Seeking for your response.
Hi Ranjeet and Rather
Please find the attached osd and .m files