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Implementation of a Lightweight and Customized Signal processing system based on RFSoC

  • Liangyu Li
  • , Bo Wang
  • , Ruimeng Zhang
  • , Bo Zhong
  • , Qing Shen*
  • , Yide Zhao
  • *Corresponding author for this work
  • Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents the development and performance evaluation of a lightweight radar signal processing system based on an RF direct sampling architecture. TDistinct from common approaches utilizing existing commercial RFSoC development boards, this work implements a compact, dedicated hardware platform based on the Xilinx XCZU28DR RFSoC. Through meticulously optimized hardware design, significant reductions in size and weight were achieved without compromising performance. The platform supports synchronized waveform generation and data acquisition for 5-channel RF front-end, with a maximum sampling rate of 4.096 GSPS. Experimental results demonstrate that the system possesses excellent phase noise performance and superior multi-channel synchronization, validating its effectiveness for high-precision pulsed radar detection applications.

Original languageEnglish
Title of host publication2026 11th International Conference on Intelligent Computing and Signal Processing, ICSP 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages507-512
Number of pages6
ISBN (Electronic)9798331562410
DOIs
Publication statusPublished - 2026
Externally publishedYes
Event11th International Conference on Intelligent Computing and Signal Processing, ICSP 2026 - Hefei, China
Duration: 17 Apr 202619 Apr 2026

Publication series

Name2026 11th International Conference on Intelligent Computing and Signal Processing, ICSP 2026

Conference

Conference11th International Conference on Intelligent Computing and Signal Processing, ICSP 2026
Country/TerritoryChina
CityHefei
Period17/04/2619/04/26

Keywords

  • FPGA
  • Lightweight Design
  • RFSoC
  • Radar System
  • Software-defined Radio

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