Methods and apparatus for automated design of semiconductor photonic devices
US-10503865-B2 · Dec 10, 2019 · US
US12387018B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12387018-B2 |
| Application number | US-202017084600-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 29, 2020 |
| Priority date | Oct 29, 2020 |
| Publication date | Aug 12, 2025 |
| Grant date | Aug 12, 2025 |
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A method for simulating a photodetector behavior includes: receiving an input waveform for an photodetector; receiving an input optical power and a reverse bias voltage for the photodetector; searching for, in a lookup-table library, model parameters for a photodetector behavior model based on the input optical power and the reverse bias voltage; and outputting a second waveform from the photodetector behavior model, where the second waveform is indicative of an electrical response of the photodetector receiving the input waveform.
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What is claimed is: 1. A method for simulating photodetector behavior, the method comprising: receiving a modulated optical signal comprising an input waveform for a photodetector; receiving an input optical power and a reverse bias voltage for the photodetector; searching for, in a lookup-table library, model parameters for a photodetector behavior model responsive to receiving the input optical power and the reverse bias voltage, wherein the lookup-table library includes a plurality of lookup tables each of which is associated with a distinct optical power, and wherein searching for the model parameters comprises searching the look-up table library for a look-up table associated with an optical power corresponding to the input optical power and locating model parameters associated with a reverse bias voltage, in the look-up table, that corresponds to the received reverse bias voltage; responsive to locating the model parameters, executing a hardware behavior modeling language that determines a DC current level, photo-generated carriers, and electrical parasitics for the photodetector behavior model using the located model parameters; based on the DC current level, the photo-generated carriers, and the electrical parasitics, generating, using the photodetector behavior model, an electrical current representative of an electrical response of the photodetector, the electrical current comprising a second waveform indicative of an electrical response of the photodetector behavior of the photodetector; delivering the electrical current to a receiver front-end circuit. 2. The method of claim 1 , wherein the photodetector behavior model comprises a level decision algorithm configured to obtain the input waveform and determine the DC current level for the photodetector. 3. The method of claim 2 , wherein the photodetector behavior model further comprises an optical-electrical conversion algorithm configured to determine the photo-generated carriers of the photodetector based on the DC current level, input optical power, the reverse bias voltage, and the model parameters. 4. The method of claim 3 , wherein the photodetector behavior model further comprises an electrical parasitics algorithm configured to determine the electrical parasitics of the photodetector. 5. The method of claim 1 , wherein the lookup-table library is obtained by simulation of one or more photodetectors or measurement of one or more physical photodetectors. 6. The method of claim 1 , wherein the model parameters for the photodetector include voltages up to an avalanche breakdown voltage of the photodetector. 7. The method of claim 1 , wherein the lookup-table library includes a plurality of sets of lookup tables, each set of lookup tables comprising one or more lookup tables, and each set being organized based a manufacturing process and an operating temperature for the photodetector. 8. The method of claim 7 , wherein the lookup-table library further includes a coefficient table storing coefficients for different manufacturing processes and operating temperatures for the photodetector. 9. The method of claim 1 , wherein the model parameters comprises at least one of: a multiplication factor, a responsivity, a resonance frequency, a Q-factor, and parasitic capacitance for the photodetector behavior model. 10. A non-transitory computer-readable storage medium storing instructions executable by one or more processors to cause the one or more processors to perform operations including: receiving a modulated optical signal comprising an input waveform for a photodetector; receiving an input optical power and a reverse bias voltage for the photodetector; searching for, in a lookup-table library, model parameters for a photodetector behavior model responsive to receiving the input optical power and the reverse bias voltage, wherein the lookup-table library includes a plurality of lookup tables each of which is associated with a distinct optical power, and wherein searching for the model parameters comprises searching the look-up table library for a look-up table associated with an optical power corresponding to the input optical power and locating model parameters associated with a reverse bias voltage, in the look-up table, that corresponds to the received reverse bias voltage; responsive to locating the model parameters, executing a hardware behavior modeling language that determines a DC current level, photo-generated carriers, and electrical parasitics for the photodetector behavior model using the located model parameters; and based on the DC current level, the photo-generated carriers, and the electrical parasitics, generating an electrical current using the photodetector behavior model, the electrical current comprising a second waveform indicative of an electrical response of the photodetector. 11. The non-transitory computer-readable storage medium of claim 10 , wherein the photodetector behavior model comprises a level decision algorithm configured to obtain the input waveform and determine the DC current level for the photodetector. 12. The non-transitory computer-readable storage medium of claim 11 , wherein the photodetector behavior model further comprises an optical-electrical conversion algorithm configured to determine the photo-generated carriers of the photodetector based on the DC current level, input optical power, the reverse bias voltage, and the model parameters. 13. The non-transitory computer-readable storage medium of claim 12 , wherein the photodetector behavior model further comprises an electrical parasitics algorithm configured to determine the electrical parasitics of the photodetector. 14. The non-transitory computer-readable storage medium of claim 10 , wherein the model parameters for the photodetector include voltages up to an avalanche breakdown voltage of the photodetector. 15. The non-transitory computer-readable storage medium of claim 10 , wherein the lookup-table library includes a plurality of sets of lookup tables, each set of lookup tables comprising one or more lookup tables, and each set being organized based a manufacturing process and an operating temperature for the photodetector. 16. The non-transitory computer-readable storage medium of claim 15 , wherein the lookup-table library further includes a coefficient table storing coefficients for different manufacturing processes and operating temperatures for the photodetector. 17. An apparatus, comprising: one or more processors; and a memory storing instructions executable by the one or more processors to cause the one or more processors to perform operations including: receiving a modulated optical signal comprising an input waveform for a photodetector; receiving an input optical power and a reverse bias voltage for the photodetector; searching for, in a lookup-table library, model parameters for a photodetector behavior model responsive to receiving the input optical power and the reverse bias voltage, wherein the lookup-table library includes a plurality of lookup tables each of which is associated with a distinct optical power, and wherein searching for the model parameters comprises searching the look-up table library for a look-up table associated with an optical power corresponding to the input optical power and locating model parameters associated with a reverse bias voltage, in the look-up table, that corresponds to the received reverse bias voltage; responsive to locating the model parameters, executing a hardware behavior modeling language that determines a DC current level, photo-generated carriers, and e
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