A Review of Multi-Base Station Collaborative Target Sensing Based on Integrated Sensing and Communication
DOI:
https://doi.org/10.18063/csa.v3i1.913Keywords:
integrated sensing and communication, multi-base station collaborative sensing, parameter estimation, time-frequency synchronization, data fusionAbstract
Integrated sensing and communication (ISAC) technology for multi-base station collaborative target sensing has become a research hotspot due to its advantages in scenarios like the low-altitude economy and intelligent transgportation. This paper reviews the key technologies and applications of multi-base station ISAC collaborative sensing. First, the research background and significance are presented. It is pointed out that the development of the low-altitude economy imposes requirements of high precision, wide coverage, and real-time performance on wireless sensing technologies. Next, the domestic and international research status is analyzed, covering the development of single-base station ISAC technology, the system architecture of multi-base station collaborative sensing, and representative technologies. The existing technical challenges are also pointed out. Then, the models and basic theories of multi-base station ISAC systems are elaborated, including system architecture, physical models of target perception, and performance evaluation indicator systems. On this basis, technologies such as signal-level collaboration, data-level fusion, and symbol-level fusion strategy are discussed in detail. Finally, typical application scenarios and system implementation are analyzed, such as UAV tracking in the low-altitude economy and vehicle-infrastructure collaboration in intelligent transportation. The current technical challenges and future research directions are also summarized.
References
Xu Jianan, Jia Lianhui, Jing Liujie, et al. Research and Application of Intelligent Construction Collaborative Control Technology for Tunnels [J]. China Railway Science, 2023,44(4):133-143.
Nayemuzzaman S, Mishra K V, Saquib M. Multi-Target Tracking for Full-Duplex Distributed Integrated Sensing and Communications[C]//2023 57th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2023: 1673-1678.
Han Kaifeng, Zhou Ziqin, Wang Zhiqin, et al. Communication and Perception Computing Integration Based on Airborne Computing Architecture [J]. Journal of Xidian University, 2023,50(3):31-39.
Zhang Yanxia, Liu Xiangnan, Sun Chunlei, et al. 6G UAV Network Based on Synesthesia Integration [J]. Mobile Communication, 2023,47(9):71-76.
Gao Hongwei, Liu Xiangnan, Zhang Haijun, et al. Integrated Intelligent Communication and Perception for 6G [J]. Journal of China University of Media and Communications (Natural Science Edition), 2022(029-003).
Wei Z, Xu R, Feng Z, et al. Symbol-level integrated sensing and communication enabled multiple base stations cooperative sensing[J]. IEEE Transactions on Vehicular Technology, 2023, 73(1): 724-738.
Wang Hui, Tai Qixin, Liu Liu, et al. Low-power transmission method for uplink millimeter-wave large-scale MIMO-NOMA system based on GSIC [J]. Telecommunications Science, 2023,39(1):9.
Ye Z. Design of Multi-Base Station Vehicle Networking System and Vehicle Early Warning System Based on Integrated Sensing and Communication Technology[D]. Zhejiang Gongshang University, 2023.
Ye Zihao. Research on 'low, slow, and small' target detection and positioning technology based on mobile communication signals [J]. Changjiang Information and Communication, 2023,36(1):142-145.
Xu Yongjun, Cao Na, Chen Qianbin. A Review on the Integrated Communication and Perception Waveform Design Method [J].Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition),2023,35(6).
Miao Sheng, Dong Liang, Dong Jian'e, et al. A multi-objective automatic identification and positioning method based on cellular network structure [J]. Computer Applications, 2019,39(11):3343-3348.
Xu R. Research on Multi-Base Station Collaborative Sensing Signal Processing Methods for Integrated Sensing and Communication[D]. Beijing University of Posts and Telecommunications, 2023.
Vehicle Engineering. Research on a target detection algorithm for millimeter-wave radar and vision fusion based on an extended network [D]. 2022.
He Jia, Zhou Zhi, Li Xianjin, et al. Communication and Perception Integration for 6G: Perception and Perception-Assisted Communication Based on Radio Waves [J]. Information and Communication Technology and Policy, 2022(009):000.
Anonymous. "Design Method of Terahertz ISAC System Based on Delay-Aided Alignment Modulation and Active RIS". CN116707660A,2023.
Han Z, Ding H, Zhang X, et al. Multistatic integrated sensing and communication system in cellular networks[C]//2023 IEEE Globecom Workshops (GC Wkshps). IEEE, 2023: 123-128.
Qing C , Qing Y E , Liu W ,et al.LoS sensing-based superimposed CSI feedback for UAV-assisted mmWave systems[J].Chinese Journal of Aeronautics, 2023, 36(12):349-360.
Qian Jiachen. Modeling and Analysis of UAV Cluster Virtual MIMO Channel [D]. Southeast University, 2022.
Yan J, Liu H, Jiu B, et al. Joint detection and tracking processing algorithm for target tracking in multiple radar system[J]. IEEE Sensors Journal, 2015, 15(11): 6534-6541.
Wang Siyang. Research on Motion Recognition Methods Based on Perception Element Decoupling [D]. Yanshan University, 2023.
Electronic Science and Technology. Joint Optimization Algorithm for Intelligent Reflective Surface-Assisted Wireless Communication Systems [D]. Ningxia University, 2023.
Lou Yuanwei. Research on UAV Visual Positioning and Trajectory Optimization in Prohibited Environments [D]. Shenyang Aerospace University, 2023.
Li Hui. Research on the Extraction and Tracking of Interesting Targets Based on Visual Attention Mechanism [D]. China University of Petroleum (East China), 2019.
Ye Zhong. Design of a Multi-base Station Vehicle Networking System and Vehicle Early Warning System Based on Synesthesia Integration Technology [D]. Zhejiang Gongshang University, 2023.
