基于LFM的双基地通感一体化信号距离旁瓣抑制方法

季晨星; 李澎; 张天祥; 高玉龙

doi:10.11959/j.issn.2096-3750.2025.00472

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基于LFM的双基地通感一体化信号距离旁瓣抑制方法

理论与技术 | 更新时间：2025-07-29

- 基于LFM的双基地通感一体化信号距离旁瓣抑制方法
- Method for suppressing range sidelobes of bistatic integrated sensing and communication signal based on LFM
- 物联网学报 2025年9卷第2期页码：127-138
- 作者机构：
  
  1.哈尔滨工业大学电子与信息工程学院，黑龙江哈尔滨 150001
  2.北京遥测技术研究所，北京 100076
- 作者简介：
  
  [ "季晨星（2002‒ ），男，哈尔滨工业大学电子与信息工程学院硕士生，主要研究方向为通感一体化。" ]
  [ "李澎（1985‒ ），男，北京遥测技术研究所研究员，主要研究方向为信号处理。" ]
  [ "张天祥（1998‒ ），男，哈尔滨工业大学电子与信息工程学院博士生，主要研究方向为通信感知一体化、一体化波形设计等。" ]
  [ "高玉龙（1978‒ ），男，博士，哈尔滨工业大学电子与信息工程学院教授，主要研究方向为智能信号处理和智能通信、智能图像处理和计算机视觉等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(62171163);航空科学基金项目(2024M038077001)
- DOI：10.11959/j.issn.2096-3750.2025.00472
  中图分类号： TN911
- 收稿日期：2024-12-20，
  
  修回日期：2025-02-16，
  
  纸质出版日期：2025-06-10
- 稿件说明：
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季晨星,李澎,张天祥等.基于LFM的双基地通感一体化信号距离旁瓣抑制方法[J].物联网学报,2025,09(02):127-138.

JI Chenxing,LI Peng,ZHANG Tianxiang,et al.Method for suppressing range sidelobes of bistatic integrated sensing and communication signal based on LFM[J].Chinese Journal on Internet of Things,2025,09(02):127-138.
季晨星,李澎,张天祥等.基于LFM的双基地通感一体化信号距离旁瓣抑制方法[J].物联网学报,2025,09(02):127-138. DOI： 10.11959/j.issn.2096-3750.2025.00472.

JI Chenxing,LI Peng,ZHANG Tianxiang,et al.Method for suppressing range sidelobes of bistatic integrated sensing and communication signal based on LFM[J].Chinese Journal on Internet of Things,2025,09(02):127-138. DOI： 10.11959/j.issn.2096-3750.2025.00472.

摘要

通感一体化技术旨在缓解通信系统与雷达系统在频带资源上的冲突，在未来的6G中应用前景广阔。双基地场景下，通感一体化系统具有对抗强电磁干扰环境、高隐蔽性的优势。在现有的关于双基地场景下基于线性调频信号的通感一体化系统的设计中，因为雷达感知受到了内嵌通信信息的影响，存在距离旁瓣过高、虚假目标识别严重的问题。为了在正确完整提取通信信息的前提下，抑制其产生的旁瓣干扰，提升雷达感知性能，以基于线性调频（LFM

linear frequency modulation）的通感一体化系统为基础进行优化研究，以调制方式和接收机结构为切入点，提出了减相调制和接收机结构优化两种创新方法，并结合模糊函数和误码率这两种性能指标，通过仿真分析对比，验证了优化方法的可行性和有效性。

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.

关键词

Keywords

references

LIU F , YUAN W J , YUAN J H , et al . Radar-communication spectrum sharing and integration: overview and prospect [J ] . Journal of Radars , 2021 , 10 ( 3 ): 467 - 484 .

LIANG X D , LI Q , WANG J , et al . Joint wireless communication and radar sensing review and future prospects [J ] . Journal of Signal Processing , 2020 , 36 ( 10 ): 1615 - 1627 .

CHEN X B , WANG X M , XU S F , et al . A novel radar waveform compatible with communication [C ] // Proceedings of the 2011 International Conference on Computational Problem-Solving (ICCP) . Piscataway : IEEE Press , 2011 : 177 - 181 .

SHANNON C E . Communication in the presence of noise [J ] . Proceedings of the IRE , 1949 , 37 ( 1 ): 10 - 21 .

RICHARDS M . Fundamentals of radar signal processing [M ] . New York : McGraw Hill , 2005 .

XIAO Y Q , DU Q H , CHENG W C , et al . Model-ML integrated intelligence in URLLC towards end-to-end delay fulfillment over vehicular networks [J ] . IEEE Internet of Things Magazine , 2023 , 6 ( 3 ): 62 - 68 .

XIAO Y Q , DU Q H , CHENG W C , et al . Secure communication guarantees for diverse extended-reality applications: a unified statistical security model [J ] . IEEE Journal of Selected Topics in Signal Processing , 2023 , 17 ( 5 ): 1007 - 1021 .

MA B Y , REN Z Y , CHENG W C , et al . Latency-constrained multi-user efficient task scheduling in large-scale Internet of Vehicles [J ] . IEEE Transactions on Mobile Computing , 2024 , 23 ( 10 ): 9821 - 9834 .

RAPPAPORT T S , SUN S , MAYZUS R , et al . Millimeter wave mobile communications for 5G cellular: it will work! [J ] . IEEE Access , 2013 , 1 : 335 - 349 .

DENG H , HIMED B . Interference mitigation processing for spectrum-sharing between radar and wireless communications systems [J ] . IEEE Transactions on Aerospace and Electronic Systems , 2013 , 49 ( 3 ): 1911 - 1919 .

ZHENG L , LOPS M , WANG X D . Adaptive interference removal for uncoordinated radar/communication coexistence [J ] . IEEE Journal of Selected Topics in Signal Processing , 2018 , 12 ( 1 ): 45 - 60 .

NARTASILPA N , SALIM A , TUNINETTI D , et al . Communications system performance and design in the presence of radar interference [J ] . IEEE Transactions on Communications , 2018 , 66 ( 9 ): 4170 - 4185 .

LIU F , ZHENG L , CUI Y H , et al . Seventy years of radar and communications: the road from separation to integration [J ] . IEEE Signal Processing Magazine , 2023 , 40 ( 5 ): 106 - 121 .

LIU A , HUANG Z , LI M , et al . A survey on fundamental limits of integrated sensing and communication [J ] . IEEE Communications Surveys & Tutorials , 2022 , 24 ( 2 ): 994 - 1034 .

谷焱 . 雷达通信感知一体化研究综述 [J ] . 电声技术 , 2024 , 48 ( 2 ): 134 - 137 .

GU Y . A review of research on radar communication perception integration [J ] . Audio Engineering , 2024 , 48 ( 2 ): 134 - 137 .

杨小牛 , 张春磊 . “电磁静默战”：电磁战场新“剑谱” [N ] . 解放军报 , 2017-09-19 (007).

YANG X N , ZHANG C L . “ Electromagnetic silent warfare”: a new “sword spectrum” on the electromagnetic battlefield [N ] . People’s Liberation Army Daily , 2017-09-19 (007).

PATOLE S M , TORLAK M , WANG D , et al . Automotive radars: a review of signal processing techniques [J ] . IEEE Signal Processing Magazine , 2017 , 34 ( 2 ): 22 - 35 .

NOWAK M J , ZHANG Z P , QU Y , et al . Co-designed radar-communication using linear frequency modulation waveform [C ] // Proceedings of the MILCOM 2016 - 2016 IEEE Military Communications Conference . Piscataway : IEEE Press , 2016 : 918 - 923 .

周宇 , 杨慧婷 , 谷亚彬 , 等 . 基于调频率调制的雷达通信共享信号研究 [J ] . 电子科技大学学报 , 2017 , 46 ( 6 ): 830 - 835 .

ZHOU Y , YANG H T , GU Y B , et al . Study on integrated radar and communication signal based on chirp-rate modulation [J ] . Journal of University of Electronic Science and Technology of China , 2017 , 46 ( 6 ): 830 - 835 .

荆春晖 , 郭文彬 . 基于独立分量分离的雷达通信一体化接收算法 [J ] . 无线电工程 , 2021 , 51 ( 2 ): 111 - 117 .

JING C H , GUO W B . Radar communication integrated receiving algorithm based on independent component separation [J ] . Radio Engineering , 2021 , 51 ( 2 ): 111 - 117 .

李晓柏 , 杨瑞娟 , 程伟 . 基于Chirp信号的雷达通信一体化研究 [J ] . 雷达科学与技术 , 2012 , 10 ( 2 ): 180 - 186 .

LI X B , YANG R J , CHENG W . Integrated radar and communication based on chirp [J ] . Radar Science and Technology , 2012 , 10 ( 2 ): 180 - 186 .

邹广超 , 刘以安 , 吴少鹏 , 等 . 雷达-通信一体化系统设计 [J ] . 计算机仿真 , 2011 , 28 ( 8 ): 1 - 4, 32 .

ZOU G C , LIU Y A , WU S P , et al . Design of radar-communications integrated system [J ] . Computer Simulation , 2011 , 28 ( 8 ): 1 - 4, 32 .

XIE R , LUO K , JIANG T . Waveform design for LFM-MPSK-based integrated radar and communication toward IoT applications [J ] . IEEE Internet of Things Journal , 2022 , 9 ( 7 ): 5128 - 5141 .

ZHONG N Y , LI P X , BAI W L , et al . Spectral-efficient frequency-division photonic millimeter-wave integrated sensing and communication system using improved sparse LFM sub-bands fusion [J ] . Journal of Lightwave Technology , 2023 , 41 ( 23 ): 7105 - 7114 .

LYU Z D , ZHANG L , ZHANG H Q , et al . Preamble-free synchronization based on dual-chirp waveforms for photonic THz-ISAC [J ] . Journal of Lightwave Technology , 2024 , 42 ( 8 ): 2657 - 2665 .

ZHANG W X , ZHANG H . The design of integrated waveform based on MSK-LFM signal [C ] // Proceedings of the 2020 15th IEEE International Conference on Signal Processing (ICSP) . Piscataway : IEEE Press , 2020 : 565 - 569 .

YANG C , WANG M , ZHENG L , et al . Dual function system with shared spectrum using FMCW [J ] . IEEE Access , 2018 , 6 : 79026 - 79038 .

刘永军 , 廖桂生 , 唐皓 , 等 . FSK-FMCW雷达通信一体化信号设计与处理方法研究 [J ] . 信号处理 , 2022 , 38 ( 11 ): 2265 - 2275 .

LIU Y J , LIAO G S , TANG H , et al . Integrated FSK-FMCW radar and communication signal design and processing method [J ] . Journal of Signal Processing , 2022 , 38 ( 11 ): 2265 - 2275 .

胡廷舟 , 谢锐 , 刘俊 , 等 . LFM-MPSK雷达通信一体化系统时频联合同步技术研究 [J ] . 信号处理 , 2020 , 36 ( 10 ): 1687 - 1697 .

HU T Z , XIE R , LIU J , et al . Joint timing and frequency synchronization in LFM-MPSK based radar and communication integrated system [J ] . Journal of Signal Processing , 2020 , 36 ( 10 ): 1687 - 1697 .

曾浩 , 吉利霞 , 李凤 , 等 . 16QAM-LFM雷达通信一体化信号设计 [J ] . 通信学报 , 2020 , 41 ( 3 ): 182 - 189 .

ZENG H , JI L X , LI F , et al . 16QAM-LFM waveform design for integrated radar and communication [J ] . Journal on Communications , 2020 , 41 ( 3 ): 182 - 189 .

QUAN Y , SHI L F , LIU J L , et al . A novel bistatic joint radar-communication system in multi-path environments [C ] // Proceedings of the 2020 12th International Conference on Communication Software and Networks (ICCSN) . Piscataway : IEEE Press , 2020 : 186 - 191 .

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