Observational demonstration of a low-cost fast Fourier transform spectrometer with a delay-line-based ramp-compare ADC implemented on FPGA
Atsushi Nishimura, Takeru Matsumoto, Teppei Yonetsu, Yuka Nakao,, Shinji Fujita, Hiroyuki Maezawa, Toshikazu Onishi, Hideo Ogawa

TL;DR
This paper presents a low-cost, high-speed all-digital Fourier transform radio spectrometer implemented on FPGA, demonstrating its potential for cost-effective radio astronomy observations with high sampling rates.
Contribution
The study introduces a novel all-digital radio spectrometer using a delay-line-based ramp-compare ADC on FPGA, achieving high sampling rates at lower costs compared to traditional spectrometers.
Findings
Prototype achieved 600 MSa/s sampling rate with 6.6-bit quantization.
Performance tests confirmed linearity and stability suitable for radio observations.
Cost per GHz was approximately 800 USD, significantly lower than conventional spectrometers.
Abstract
In this study, a novel type of Fourier transform radio spectrometer (termed as all-digital radio spectrometer; ADRS) has been developed in which all functionalities comprising a radio spectrometer including a sampler and Fourier computing unit were implemented as a soft-core on a field-programmable gate array (FPGA). A delay-line-based ramp-compare analog-to-digital converter (ADC), one of completely digital ADC, was used, and two primary elements of the ADC, an analog-to-time converter (ATC) and a time-to-digital converter (TDC), were implemented on the FPGA. The sampling rate of the ADRS and the quantization bit rate are limited by the relation, , where is the latency of the delay element of the delay-line. Given that the typical latency of the delay element implemented on FPGAs is ps, adoption of a low quantization bit rate, which…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
