Application of FPGA Acceleration in ADC Performance Calibration

TL;DR

This paper demonstrates how FPGA acceleration significantly speeds up ADC performance calibration by leveraging stream processing, parallelism, and high-speed data transfer, improving efficiency for high-precision measurement systems.

Contribution

It introduces a FPGA-based acceleration framework for ADC calibration that enhances processing speed and accuracy over traditional CPU methods.

Findings

FPGA reduces calibration processing time compared to CPU.

High-speed PCIE bus improves data transfer efficiency.

Floating point algorithms enhance calibration accuracy.

Abstract

In recent years, high speed and high resolution analog-to-digital converter (ADC) is widely employed in many physical experiments, especially in high precision time and charge measurement. The rapid increasing amount of digitized data demands faster computing. FPGA acceleration has an attracting prospect in data process for its stream process and parallel process feature. In this paper, an ADC performance calibration application based on FPGA acceleration is described. FPGA reads the ADC digitized data stream from PC memory, processes and then writes processed result back to the PC memory. PCIE bus is applied to increase the data transfer speed, and floating point algorithm is applied to improve the accuracy. The test result shows that FPGA acceleration can reduce the processing time of the ADC performance calibration compared with traditional method of C-based CPU processing. This frame of PCIE-based FPGA acceleration method can be applied in analysis and simulation in the future physical experiment for large ADC array, such as CCD camera and waveform digitization readout electronics calibration.