Exploring ISAC Technology for UAV SAR Imaging

被引:1
|
作者
Moro, Stefano [1 ]
Linsalata, Francesco [1 ]
Manzoni, Marco [1 ]
Magarini, Maurizio [1 ]
Tebaldini, Stefano [1 ]
机构
[1] Politecn Milan, Dept Elect Informat & Bioengn, Milan, Italy
关键词
UAV; SAR; SDR; Sensing and Communications for Emergencies;
D O I
10.1109/ICC51166.2024.10622910
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper illustrates the potential of an Integrated Sensing and Communication (ISAC) system, operating in the sub-6 GHz frequency range, for Synthetic Aperture Radar (SAR) imaging via an Unmanned Aerial Vehicle (UAV) employed as an aerial base station. The primary aim is to validate the system's ability to generate SAR imagery within the confines of modern communication standards, including considerations like power limits, carrier frequency, bandwidth, and other relevant parameters. The paper presents two methods for processing the signal reflected by the scene. Additionally, we analyze two key performance indicators for their respective fields, the Noise Equivalent Sigma Zero (NESZ) and the Bit Error Rate (BER), using the QUAsi Deterministic RadIo channel GenerAtor (QuaDRiGa), demonstrating the system's capability to image buried targets in challenging scenarios. The paper shows simulated Impulse Response Functions (IRF) as possible pulse compression techniques under different assumptions. An experimental campaign is conducted to validate the proposed setup by producing a SAR image of the environment captured using a UAV flying with a Software-Defined Radio (SDR) as a payload.
引用
收藏
页码:1582 / 1587
页数:6
相关论文
共 50 条
  • [31] Imaging method for circular scanning SAR based on FMCW technology
    Liao, Yi
    Xing, Meng-Dao
    Bao, Zheng
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2015, 37 (09): : 1994 - 1999
  • [32] Joint Beamforming and UAV Trajectory Optimization for Covert Communications in ISAC Networks
    Deng, Dan
    Zhou, Wen
    Li, Xingwang
    da Costa, Daniel Benevides
    Ng, Derrick Wing Kwan
    Nallanathan, Arumugam
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2025, 24 (02) : 1016 - 1030
  • [33] Low cost Ka band SAR/SAR for UAV applications
    Kim, S
    Pergande, A
    Hughen, J
    RADAR SENSOR TECHNOLOGY VIII AND PASSIVE MILLIMETER-WAVE IMAGING TECHNOLOGY VII, 2004, 5410 : 155 - 161
  • [34] A Joint UAV Trajectory, User Association, and Beamforming Design Strategy for Multi-UAV-Assisted ISAC Systems
    Zhang, Ruizhi
    Zhang, Ying
    Tang, Rui
    Zhao, Huapeng
    Xiao, Qing
    Wang, Chenye
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (18): : 29360 - 29374
  • [35] UAV-Assisted NOMA for Enhancing ISAC: A Deep Reinforcement Learning Solution
    Amhaz, Ali
    Elhattab, Mohamed
    Sharafeddine, Sanaa
    Assi, Chadi
    IEEE COMMUNICATIONS LETTERS, 2025, 29 (02) : 249 - 253
  • [36] A Modified High-Precision Imaging Algorithm Based on Imaging Plane Optimization with Minimum Entropy Applied to UAV SAR
    Du, Xingwang
    Xie, Xin
    Yang, Zhijun
    Tian, Weiming
    REMOTE SENSING, 2023, 15 (21)
  • [37] Swarm UAV SAR for 3-D Imaging: System Analysis and Sensing Matrix Design
    Ren, Hang
    Sun, Zhichao
    Yang, Jianyu
    Xiao, Yuping
    An, Hongyang
    Li, Zhongyu
    Wu, Junjie
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [38] A FAST IMAGING METHOD BASED ON SPECTRUM FUSION FOR HIGH FRAME RATE UAV SWARM SAR
    Mao, Xinyu
    Li, Zhongyu
    Fang, Zhihao
    Yang, Yu
    Wu, Junjie
    Yang, Jianyu
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 4638 - 4641
  • [39] Tomographic SAR imaging with large elevation aperture: a P-band small UAV demonstration
    Tao ZENG
    Minkun LIU
    Yan WANG
    Zegang DING
    Linghao LI
    Zhen WANG
    Yangkai WEI
    Jianping WANG
    Science China(Information Sciences), 2022, 65 (03) : 211 - 224
  • [40] FULLY THREE-DIMENSIONAL UAV SAR IMAGING WITH MULTI-AZIMUTH-ANGLE OBSERVATION
    Kuang, Hui
    Chen, Jie
    Yang, Wei
    Liu, Wei
    Zhu, Xia
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 470 - 473