Backend Digital del CART
RADIO ASTRONOMY · SDR
Development of a Software Defined Radio (SDR) based digital backend for the Argentine-Chinese Radio Telescope (CART). Direct S/X band digitization with RFSoC FPGA. PIPE funding (Calingasta Municipality).
Project Description
Project funded by the Strategic Platforms Research Program (PIPE) of the Calingasta Municipality. A digital backend based on SDR was developed for the Argentine-Chinese Radio Telescope (CART), enabling direct digitization of S/X bands using an RFSoC FPGA platform. The system includes digital signal processing algorithms for radio astronomy applications.
Identification
- Status: Completed · 2024
- Area: RADIO ASTRONOMY · SDR
- Code: /en/projects/backend-digital-cart
- Partners: 3
- Technologies: 5
Main Objective
Project funded by the Strategic Platforms Research Program (PIPE) of the Calingasta Municipality. A digital backend based on SDR was developed for the Argentine-Chinese Radio Telescope (CART), enabling direct digitization of S/X bands using an RFSoC FPGA platform. The system includes digital signal processing algorithms for radio astronomy applications.
Technological Challenges
RFSoC integration
Implement and validate RFSoC capabilities in a robust operational workflow for the project context.
FPGA integration
Implement and validate FPGA capabilities in a robust operational workflow for the project context.
SDR integration
Implement and validate SDR capabilities in a robust operational workflow for the project context.
Radioastronomía integration
Implement and validate Radioastronomía capabilities in a robust operational workflow for the project context.
VHDL integration
Implement and validate VHDL capabilities in a robust operational workflow for the project context.
Key Features
Status
Completed · 2024
Technical area
RADIO ASTRONOMY · SDR
Partners involved
3
Technology stack
RFSoC, FPGA, SDR, Radioastronomía, VHDL
Phase Timeline
Phase 1: Definition
Initial stageRequirements, architecture, and planning.
Phase 2: Development
Core stageImplementation and iterative validation.
Phase 3: Deployment
Final stageOperational validation and knowledge transfer.
Team
Faculty and Researchers
- Dr. Martín A. Guzzo
- Dr. Ing. Marcelo J. Segura
Students and Fellows
- Mauro Diamantino
Strategic Partners
UNSJ
Strategic partner
Contribution: Supports execution, validation, and project deployment in its domain.
CART
Strategic partner
Contribution: Supports execution, validation, and project deployment in its domain.
Calingasta Municipality
Strategic partner
Contribution: Supports execution, validation, and project deployment in its domain.