Design and Implementation of a Multi-Channel Fiber Optic Communication System Based on Domestic SOPC
Разработка и реализация многоканальной волоконно-оптической системы связи на основе отечественной SOPC
2024-04-12
SCID: 54.1/9tbq3uvv
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ARM Cortex-M1Gowin FPGASerDes interfacedomestic SOPCmulti-channel fiber optic communication
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Abstract (AI)
To ensure stable, efficient communication and reliable data transmission among various modules of the high-voltage programmable power supply, a multi-channel fiber optic communication system based on domestic SOPC was designed and implemented using a domestic FPGA as the carrier. An ARM Cortex-M1 soft-core processor was embedded in the Gowin FPGA to control peripherals and interact with the host computer. Multiple-channel data processing and arbitration modules were designed using Verilog HDL. These modules, along with Serdes interface and SFP optical modules, were utilized to construct the communication system. Test results demonstrate that the system meets the requirements of isolated communication for high-voltage programmable power supplies, ensuring stable and reliable communication for extended periods in environments with multiple channels and mixed priority levels.
Key Findings
1
A multi-channel fiber-optic communication system was implemented on a domestic Gowin FPGA for high-voltage programmable power supplies.
2
An embedded ARM Cortex-M1 soft-core processor controls peripherals and communicates with the host computer.
3
SerDes interfaces and SFP optical modules enable isolated communication between power-supply modules.
4
Testing showed stable and reliable long-term communication under multi-channel, mixed-priority operating conditions.
5
Verilog HDL-based multi-channel processing and arbitration modules support communication across mixed-priority channels.
Research Object
Multi-channel fiber optic communication system for a high-voltage programmable power supply based on a domestic FPGA with an ARM Cortex-M1 soft-core processor
Research Subject
Stable, reliable, isolated multi-channel data transmission and arbitration across mixed-priority communication channels
Publication Details
Publication Date
2024-04-12
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