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Method for suppressing range sidelobes of bistatic integrated sensing and communication signal based on LFM

  • Chenxing Ji
  • , Peng Li
  • , Tianxiang Zhang
  • , Yulong Gao*
  • *Corresponding author for this work
  • School of Electronics and Information Engineering, Harbin Institute of Technology
  • Beijing Research Institute of Telemetry

Research output: Contribution to journalArticlepeer-review

Abstract

Integrated sensing and communication (ISAC) technology aims to alleviate the conflict between communication systems and radar systems over frequency band resources, presenting broad prospects in future 6G. In bistatic scenarios, ISAC systems offer advantages such as resistance to strong electromagnetic interference environments and high concealment. In the existing design of ISAC systems based on linear frequency modulation (LFM) signals in bistatic scenarios, issues such as excessively high range sidelobes and severe false target identification arise, primarily because the radar sensing is affected by the embedded communication information. In order to suppress the sidelobe interference while ensuring the accurate and complete extraction of communication information, thereby enhancing radar sensing performance, the optimization based on an integrated communication and sensing system utilizing LFM was studied. Focusing on modulation schemes and receiver architecture as key points of investigation, two innovative methods were proposed: phase reduction modulation and receiver structure optimization. By employing performance metrics such as ambiguity function and bit error rate, and through comparative simulation analysis, the feasibility and effectiveness of the optimization methods were verified.

Original languageEnglish
Pages (from-to)127-138
Number of pages12
JournalChinese Journal on Internet of Things
Volume9
Issue number2
DOIs
StatePublished - 2025
Externally publishedYes

Keywords

  • bistatic
  • false target identification
  • integrated sensing and communication
  • linear frequency modulation signal
  • waveform optimization

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