Volume 14 Issue 4
Aug.  2025
Turn off MathJax
Article Contents
Article Navigation >  Journal of Radars  > 2025  >  14(4): 915-927
XU Qihang, LAN Lan, LIAO Guisheng, et al. Transceiver design for an FDA-MIMO radar and MIMO communication spectral coexistence system[J]. Journal of Radars, 2025, 14(4): 915–927. doi: 10.12000/JR25014
Citation: XU Qihang, LAN Lan, LIAO Guisheng, et al. Transceiver design for an FDA-MIMO radar and MIMO communication spectral coexistence system[J]. Journal of Radars, 2025, 14(4): 915–927. doi: 10.12000/JR25014
shu

Transceiver Design for an FDA-MIMO Radar and MIMO Communication Spectral Coexistence System

DOI: 10.12000/JR25014 CSTR: 32380.14.JR25014
  • 1.

    National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

  • 2.

    School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Funds:  The National Natural Science Foundation of China (62471348, 62431021), the Fundamental Research Funds for the Central Universities (QTZX23068), the Young Science and Technology Star of Shaanxi Province (2024ZC-KJXX-009), the Open Research Fund of National Key Laboratory of Multi-domain Data Collaborative Processing and Control (MDPC20200403), the Aeronautical Science Foundation of China (ASFC-2022Z021070001)
More Information
  • Corresponding author: LAN Lan, lanlan@xidian.edu.cn
  • Received Date: 2025-01-15
  • Rev Recd Date: 2025-06-13
    • Available Online: 2025-06-23
  • Publish Date: 2025-07-04
    Abstract
  • When radar and communication systems share the same frequency spectrum on the same platform, mutual interference may occur. In addition, mainlobe deceptive interferences pose a serious threat to radar target detection. To address these issues, we devise a Frequency Diverse Array Multiple-Input Multiple-Output (FDA-MIMO) radar and MIMO communication spectral coexistence system and propose a radar-centric joint transceiver design scheme. In this respect, the radar transmission waveform, radar receive filter, and communication transmission codebook are optimized to maximize the Signal-to-Interference-plus-Noise Ratio (SINR) of the radar system, thereby enhancing the target detection probability while ensuring MIMO communication throughput. During the optimization process, the Alternating Optimization (AO) strategy is employed to decompose the problem into multiple subproblems, which are solved in an iterative way. Specifically, the radar receive filter is obtained using the Lagrange multiplier method. In addition, the communication transmission codebook is approximated using an inequality theorem, and the radar transmission waveform is optimized using Taylor expansion and relaxation algorithms. Simulation results reveal that this joint design method can effectively improve the SINR of the radar system while ensuring communication throughput, thereby considerably enhancing the performance of the FDA-MIMO radar and MIMO communication spectral coexistence system under mainlobe jamming conditions.

     

    • FullText(HTML)
  • loading
    • References(42)
  • [1]
    YOU Xiaohu, WANG Chengxiang, HUANG Jie, et al. Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts[J]. Science China Information Sciences, 2021, 64(1): 110301. doi: 10.1007/s11432-020-2955-6.
    [2]
    ZHENG Le, LOPS M, ELDAR Y C, et al. Radar and communication coexistence: An overview: A review of recent methods[J]. IEEE Signal Processing Magazine, 2019, 36(5): 85–99. doi: 10.1109/MSP.2019.2907329.
    [3]
    刘凡, 袁伟杰, 原进宏, 等. 雷达通信频谱共享及一体化: 综述与展望[J]. 雷达学报, 2021, 10(3): 467–484. doi: 10.12000/JR20113.

    LIU Fan, YUAN Weijie, YUAN Jinhong, et al. Radar-communication spectrum sharing and integration: Overview and prospect[J]. Journal of Radars, 2021, 10(3): 467–484. doi: 10.12000/JR20113.
    [4]
    LIU An, HUANG Zhe, LI Min, et al. A survey on fundamental limits of integrated sensing and communication[J]. IEEE Communications Surveys & Tutorials, 2022, 24(2): 994–1034. doi: 10.1109/COMST.2022.3149272.
    [5]
    LIU Fan, CUI Yuanhao, MASOUROS C, et al. Integrated sensing and communications: Toward dual-functional wireless networks for 6G and beyond[J]. IEEE Journal on Selected Areas in Communications, 2022, 40(6): 1728–1767. doi: 10.1109/JSAC.2022.3156632.
    [6]
    梁兴东, 李强, 王杰, 等. 雷达通信一体化技术研究综述[J]. 信号处理, 2020, 36(10): 1615–1627. doi: 10.16798/j.issn.1003-0530.2020.10.001.

    LIANG Xingdong, LI Qiang, WANG Jie, et al. Joint wireless communication and radar sensing: Review and future prospects[J]. Journal of Signal Processing, 2020, 36(10): 1615–1627. doi: 10.16798/j.issn.1003-0530.2020.10.001.
    [7]
    马丁友, 刘祥, 黄天耀, 等. 雷达通信一体化: 共用波形设计和性能边界[J]. 雷达学报, 2022, 11(2): 198–212. doi: 10.12000/JR21146.

    MA Dingyou, LIU Xiang, HUANG Tianyao, et al. Joint radar and communications: Shared waveform designs and performance bounds[J]. Journal of Radars, 2022, 11(2): 198–212. doi: 10.12000/JR21146.
    [8]
    FOSCHINI G J. Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas[J]. Bell Labs Technical Journal, 1996, 1(2): 41–59. doi: 10.1002/bltj.2015.
    [9]
    CUI Mingyao, WU Zidong, LU Yu, et al. Near-Field MIMO communications for 6G: Fundamentals, challenges, potentials, and future directions[J]. IEEE Communications Magazine, 2022, 61(1): 40–46. doi: 10.1109/MCOM.004.2200136.
    [10]
    何子述, 程子扬, 李军, 等. 集中式MIMO雷达研究综述[J]. 雷达学报, 2022, 11(5): 805–829. doi: 10.12000/JR22128.

    HE Zishu, CHENG Ziyang, LI Jun, et al. A survey of collocated MIMO radar[J]. Journal of Radars, 2022, 11(5): 805–829. doi: 10.12000/JR22128.
    [11]
    薛磊, 唐波, 李达. 面向频谱共存的MIMO雷达波形设计综述[J]. 信息对抗技术, 2023, 2(4): 70–92. doi: 10.12399/j.issn.2097-163x.2023.04-05.005.

    XUE Lei, TANG Bo, and LI Da. MIMO radar waveform design for spectral coexistence: An overview[J]. Information Countermeasure Technology, 2023, 2(4): 70–92. doi: 10.12399/j.issn.2097-163x.2023.04-05.005.
    [12]
    ZHANG Haoyu, CHEN Li, HAN Kaifeng, et al. Coexistence designs of radar and communication systems in a multi-path scenario[J]. IEEE Transactions on Vehicular Technology, 2024, 73(3): 3733–3749. doi: 10.1109/TVT.2023.3325544.
    [13]
    LI Da, TANG Bo, WANG Xuyang, et al. Codesign for spectral coexistence between RIS-aided MIMO radar and MIMO communication systems[J]. IEEE Transactions on Aerospace and Electronic Systems, 2024, 60(6): 8166–8183. doi: 10.1109/TAES.2024.3431514.
    [14]
    YU Xianxiang, QIU Hui, YANG Jing, et al. Multispectrally constrained MIMO radar beampattern design via sequential convex approximation[J]. IEEE Transactions on Aerospace and Electronic Systems, 2022, 58(4): 2935–2949. doi: 10.1109/TAES.2022.3150619.
    [15]
    SODAGARI S, KHAWAR A, CLANCY T C, et al. A projection based approach for radar and telecommunication systems coexistence[C]. IEEE Global Communications Conference (GLOBECOM), Anaheim, USA, 2012: 5010–5014. doi: 10.1109/GLOCOM.2012.6503914.
    [16]
    LIU Fan, MASOUROS C, LI Ang, et al. MIMO radar and cellular coexistence: A power-efficient approach enabled by interference exploitation[J]. IEEE Transactions on Signal Processing, 2018, 66(14): 3681–3695. doi: 10.1109/TSP.2018.2833813.
    [17]
    LI Bo, PETROPULU A P, and TRAPPE W. Optimum co-design for spectrum sharing between matrix completion based MIMO radars and a MIMO communication system[J]. IEEE Transactions on Signal Processing, 2016, 64(17): 4562–4575. doi: 10.1109/TSP.2016.2569479.
    [18]
    QIAN Junhui, LOPS M, ZHENG Le, et al. Joint system design for coexistence of MIMO radar and MIMO communication[J]. IEEE Transactions on Signal Processing, 2018, 66(13): 3504–3519. doi: 10.1109/TSP.2018.2831624.
    [19]
    WANG Fangzhou and LI Hongbin. Power allocation for coexisting multicarrier radar and communication systems in cluttered environments[J]. IEEE Transactions on Signal Processing, 2021, 69: 1603–1613. doi: 10.1109/TSP.2021.3060003.
    [20]
    TANG Bo and LI Jian. Spectrally constrained MIMO radar waveform design based on mutual information[J]. IEEE Transactions on Signal Processing, 2019, 67(3): 821–834. doi: 10.1109/TSP.2018.2887186.
    [21]
    QIAN Junhui, ZHANG Jinru, XU Peng, et al. Spectral coexistence for power-harvested multiuser communication system with radar[J]. IEEE Transactions on Vehicular Technology, 2024, 73(8): 12258–12263. doi: 10.1109/TVT.2024.3377892.
    [22]
    QIAN Junhui, LIU Ziyu, WANG Kezhong, et al. Transmission design for radar and communication spectrum sharing enhancement[J]. IEEE Transactions on Vehicular Technology, 2023, 72(2): 2723–2727. doi: 10.1109/TVT.2022.3207609.
    [23]
    SHI Shengnan, HE Zishu, and CHENG Ziyang. Codesign for hybrid MU-MIMO communication and MIMO radar systems based on mutual information[J]. IEEE Systems Journal, 2023, 17(1): 1328–1339. doi: 10.1109/JSYST.2022.3201773.
    [24]
    HONG Bingqing, WANG Wenqin, and LIU Congcong. Ergodic interference alignment for spectrum sharing radar-communication systems[J]. IEEE Transactions on Vehicular Technology, 2019, 68(10): 9785–9796. doi: 10.1109/TVT.2019.2933290.
    [25]
    许京伟, 朱圣棋, 廖桂生, 等. 频率分集阵雷达技术探讨[J]. 雷达学报, 2018, 7(2): 167–182. doi: 10.12000/JR18023.

    XU Jingwei, ZHU Shengqi, LIAO Guisheng, et al. An overview of frequency diverse array radar technology[J]. Journal of Radars, 2018, 7(2): 167–182. doi: 10.12000/JR18023.
    [26]
    王文钦, 陈慧, 郑植, 等. 频控阵雷达技术及其应用研究进展[J]. 雷达学报, 2018, 7(2): 153–166. doi: 10.12000/JR18029.

    WANG Wenqin, CHEN Hui, ZHENG Zhi, et al. Advances on frequency diverse array radar and its applications[J]. Journal of Radars, 2018, 7(2): 153–166. doi: 10.12000/JR18029.
    [27]
    兰岚, 廖桂生, 许京伟, 等. FDA-MIMO雷达主瓣距离欺骗式干扰抑制方法[J]. 系统工程与电子技术, 2018, 40(5): 997–1003. doi: 10.3969/j.issn.1001-506X.2018.05.06.

    LAN Lan, LIAO Guisheng, XU Jingwei, et al. Main-beam range deceptive jamming suppression approach with FDA-MIMO radar[J]. Systems Engineering and Electronics, 2018, 40(5): 997–1003. doi: 10.3969/j.issn.1001-506X.2018.05.06.
    [28]
    兰岚, 廖桂生, 许京伟, 等. 基于频率分集阵列的多功能一体化波形设计与信号处理方法[J]. 雷达学报, 2022, 11(5): 850–870. doi: 10.12000/JR22163.

    LAN Lan, LIAO Guisheng, XU Jingwei, et al. Waveform design and signal processing method of a multifunctional integrated system based on a frequency diverse array[J]. Journal of Radars, 2022, 11(5): 850–870. doi: 10.12000/JR22163.
    [29]
    LAN Lan, ZHANG Yitao, XU Jingwei, et al. Suppressing mainlobe deceptive jammers via two-low-rank matrix decomposition in FDA-MIMO radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2025, 61(2): 2885–2898. doi: 10.1109/TAES.2024.3480030.
    [30]
    LAN Lan, ROSAMILIA M, AUBRY A, et al. FDA-MIMO transmitter and receiver optimization[J]. IEEE Transactions on Signal Processing, 2024, 72: 1576–1589. doi: 10.1109/TSP.2024.3366438.
    [31]
    JIAN jiangwei, HUANG Qimao, HUANG bang, et al. FDA-MIMO-based integrated sensing and communication system with frequency offsets permutation index modulation[J]. IEEE Transactions on Communications, 2024, 72(11): 6707–6721. doi: 10.1109/TCOMM.2024.3402608.
    [32]
    JI Shilong, WANG Wenqin, CHEN Hui, et al. On physical-layer security of FDA communications over Rayleigh fading channels[J]. IEEE Transactions on Cognitive Communications and Networking, 2019, 5(3): 476–490. doi: 10.1109/TCCN.2019.2906896.
    [33]
    NUSENU S Y, SHAO Huaizong, PAN Ye, et al. Dual-function radar-communication system design via sidelobe manipulation based on FDA butler matrix[J]. IEEE Antennas and Wireless Propagation Letters, 2019, 18(3): 452–456. doi: 10.1109/LAWP.2019.2894015.
    [34]
    GONG Pengcheng, XU Kaiyan, WU Yuntao, et al. Optimization of LPI-FDA-MIMO radar and MIMO communication for spectrum coexistence[J]. IEEE Wireless Communications Letters, 2023, 12(6): 1076–1080. doi: 10.1109/LWC.2023.3261419.
    [35]
    LIU Fan, MASOUROS C, LI Ang, et al. MU-MIMO communications with MIMO radar: From co-existence to joint transmission[J]. IEEE Transactions on Wireless Communications, 2018, 17(4): 2755–2770. doi: 10.1109/TWC.2018.2803045.
    [36]
    SAYEED A M. Deconstructing multiantenna fading channels[J]. IEEE Transactions on Signal Processing, 2002, 50(10): 2563–2579. doi: 10.1109/TSP.2002.803324.
    [37]
    LIU Xiang, HUANG Tianyao, LIU Yimin, et al. Achievable sum-rate capacity optimization for joint MIMO multiuser communications and radar[C]. 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lucca, Italy, 2021: 466–470. doi: 10.1109/SPAWC51858.2021.9593259.
    [38]
    CHEN Zihao, LIANG Junli, SONG Keman, et al. On designing good doppler tolerance waveform with low PSL of ambiguity function[J]. Signal Processing, 2023, 210: 109075. doi: 10.1016/j.sigpro.2023.109075.
    [39]
    郝天铎, 崔琛, 龚阳, 等. 基于凸优化方法的认知雷达低峰均比波形设计[J]. 雷达学报, 2018, 7(4): 498–506. doi: 10.12000/JR18002.

    HAO Tianduo, CUI Chen, GONG Yang, et al. Waveform design for cognitive radar under low PAR constraints by convex optimization[J]. Journal of Radars, 2018, 7(4): 498–506. doi: 10.12000/JR18002.
    [40]
    CUI Guolong, LI Hongbin, and RANGASWAMY M. MIMO radar waveform design with constant modulus and similarity constraints[J]. IEEE Transactions on Signal Processing, 2014, 62(2): 343–353. doi: 10.1109/TSP.2013.2288086.
    [41]
    MIRSKY L. A trace inequality of John von Neumann[J]. Monatshefte für Mathematik, 1975, 79(4): 303–306. doi: 10.1007/BF01647331.
    [42]
    LUO Zhiquan, MA W K, SO A M C, et al. Semidefinite relaxation of quadratic optimization problems[J]. IEEE Signal Processing Magazine, 2010, 27(3): 20–34. doi: 10.1109/MSP.2010.936019.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML
    Article views(199) PDF downloads(54) Cited by()
    Proportional views
    Related

    京ICP备20021838号-14   Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return