General heterogeneous real-time baseband backend system scheme applied to QTT based on RFSoC+GPU

This paper proposes a heterogeneous real-time baseband astronomical backend solution centered on RFSoC and combined GPU. The solution implemented the integration of the high-performance, completely configurable RF signal link to digitize, process, and transmit increasingly massive radio astronomy signals and provided a highly flexible and scalable scheme for the QTT backend. The RFSoC-based integration RF pre-processing front-end directly digitizes dual-polarization signals at the sampling rate of 2048 MHz and converts them to dual-16-channel data streams for parallel mixing and polyphase decimation filtering. The generated baseband data with 256 MHz center frequency and 100 MHz bandwidth is packaged and output to the GPU server through the 100GbE Interface. Complete processes of direct RF sampling, pre-processing, and high-speed transmission are implemented at the receiver. The GPU server executes real-time post-processing at the remote end. The dynamic configuration of two observation modes can be achieved with frequency resolutions of 3.051 and 0.763 kHz. The H2CO absorption line observations with the Nanshan 26-m radio telescope verified the system’s performance and the design’s rationality. This paper explores and confirms the RFSoC’s applicability on the backend. The flexible and efficient QTT backend scheme was planned based on the proposed real-time baseband pattern by expanding multi-RFSoC and GPU computing nodes.

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Publication Details

Journal
Frontiers in Astronomy and Space Sciences
Published
2024-08-20
DOI
https://doi.org/10.3389/fspas.2024.1420066
Citations
1
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
1.30

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article

General heterogeneous real-time baseband backend system scheme applied to QTT based on RFSoC+GPU

Jian Li, Maozheng Chen, Qingsong Zhang
1 citations
Frontiers in Astronomy and Space Sciences
Radar Systems and Signal Processing
1.30
article

General heterogeneous real-time baseband backend system scheme applied to QTT based on RFSoC+GPU

Jian Li, Maozheng Chen, Qingsong Zhang
article en
1 citations

Abstract

This paper proposes a heterogeneous real-time baseband astronomical backend solution centered on RFSoC and combined GPU. The solution implemented the integration of the high-performance, completely configurable RF signal link to digitize, process, and transmit increasingly massive radio astronomy signals and provided a highly flexible and scalable scheme for the QTT backend. The RFSoC-based integration RF pre-processing front-end directly digitizes dual-polarization signals at the sampling rate of 2048 MHz and converts them to dual-16-channel data streams for parallel mixing and polyphase decimation filtering. The generated baseband data with 256 MHz center frequency and 100 MHz bandwidth is packaged and output to the GPU server through the 100GbE Interface. Complete processes of direct RF sampling, pre-processing, and high-speed transmission are implemented at the receiver. The GPU server executes real-time post-processing at the remote end. The dynamic configuration of two observation modes can be achieved with frequency resolutions of 3.051 and 0.763 kHz. The H2CO absorption line observations with the Nanshan 26-m radio telescope verified the system’s performance and the design’s rationality. This paper explores and confirms the RFSoC’s applicability on the backend. The flexible and efficient QTT backend scheme was planned based on the proposed real-time baseband pattern by expanding multi-RFSoC and GPU computing nodes.

Frontiers in Astronomy and Space SciencesVol. 11
Chinese Academy of Sciences (CN), Xinjiang Astronomical Observatory (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 13%
Radar Systems and Signal Processing
1.30
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General heterogeneous real-time baseband backend system scheme applied to QTT based on RFSoC+GPU — Jian Li, Maozheng Chen, et al. · Frontiers in Astronomy and Space Sciences (2024) | TGRS Research Map | TGRS