FPGA-Based Real-Time Signal Processing System Using XQR5VFX130-1CN1752V

This project focuses on the design and implementation of a real-time signal processing system utilizing the XQR5VFX130-1CN1752V, a high-performance FPGA (Field-Programmable Gate Array) from Xilinx. The system aims to process incoming signals for applications such as audio filtering and data acquisition, showcasing the capabilities of FPGAs in handling complex algorithms with low latency.

FPGAs are widely used in applications that require high-speed processing and flexibility. The XQR5VFX130-1CN1752V is a radiation-hardened version of the Virtex-5 FPGA, making it suitable for space applications and environments with high radiation exposure. This project leverages its processing capabilities to implement a real-time signal processing system that can adapt to various input signal types.

1. XQR5VFX130-1CN1752V FPGA.
2. ADC (Analog-to-Digital Converter) for signal input.
3. DAC (Digital-to-Analog Converter) for output.
4. Additional passive components (resistors, capacitors).
5. Power supply (typically 1.2V for FPGA core and 3.3V for I/O).
6. Development board compatible with the XQR5VFX130 FPGA.
7. Software tools for FPGA development (e.g., Xilinx Vivado).

1. Development Board: Select a development board that hosts the XQR5VFX130-1CN1752V FPGA, ensuring it includes connectors for the ADC and DAC.
2. Power Supply: Provide the necessary power supply voltages, ensuring stable operation of the FPGA and peripherals.

1. Audio Filtering: Implement digital filters (e.g., FIR or IIR filters) in VHDL or Verilog. The filtering process will take audio input from the ADC, apply the filter, and output the processed signal through the DAC.
2. Data Acquisition: Design the data acquisition module to sample incoming signals, process them in real time, and output the results. Use the FPGA's built-in DSP blocks for efficient processing.

1. Integrate the ADC and DAC onto the development board or design a custom PCB for additional components.
2. Ensure proper signal routing and power integrity to minimize noise and latency.

1. Use Xilinx Vivado to simulate the design before deployment. Verify that the algorithms work correctly and meet the timing requirements.
2. Implement the design onto the FPGA and connect the ADC and DAC. Use an oscilloscope to observe the output signals and verify the filtering process.

Results

The project will showcase the real-time capabilities of the XQR5VFX130 FPGA in processing signals. Metrics to be evaluated include latency, signal fidelity after processing, and overall system performance in handling various input signals.

Conclusion

This project highlights the versatility and power of the XQR5VFX130-1CN1752V FPGA in real-time signal processing applications. By implementing audio filtering and data acquisition functionalities, the project demonstrates how FPGAs can effectively handle complex tasks in demanding environments. The successful testing of the system confirms the effectiveness of the design and its suitability for further applications in fields such as telecommunications and aerospace.