文献类型：期刊文献

英文题名：Joint Target Localization and Data Detection in Bistatic ISAC Networks

作者：Zhao, Na[1,2];Chang, Qing[2];Shen, Xiao[3];Wang, Yunlong[3];Shen, Yuan[3]

第一作者：Zhao, Na

通讯作者：Shen, Y[1]

机构：[1]Beijing Union Univ, Smart City Coll, Beijing 100101, Peoples R China;[2]Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China;[3]Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

第一机构：北京联合大学继续教育学院

通讯机构：[1]corresponding author), Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China.

年份：2025

卷号：73

期号：5

起止页码：3531-3546

外文期刊名：IEEE TRANSACTIONS ON COMMUNICATIONS

收录：;EI(收录号：20244417293684);Scopus(收录号：2-s2.0-85207457707);WOS:【SCI-EXPANDED(收录号:WOS:001489673200043)】；

基金：This work was supported in prat by National Natural Science Foundation of China under Grants 62271285 and 62201319, in part by Tsinghua University-Meituan Joint Institute for Digital Life, and in part by Shanghai AI Laboratory. An earlier version of this paper was presented in part at the 2022 International Symposium on Wireless Communication Systems (ISWCS) [DOI: 10.1109/ISWCS56560.2022.9940408] and in part at the 2023 IEEE Globe Communications Conference Workshops (GC Wkshps) [DOI: 10.1109/GCWkshps58843.2023.10464986]. The associate editor coordinating the review of this article and approving it for publication was B. Shim.

语种：英文

外文关键词：Integrated sensing and communication; bistatic systems; target localization; data detection; Cram & eacute;r-Rao lower bound; Integrated sensing and communication; bistatic systems; target localization; data detection; Cram & eacute;r-Rao lower bound

摘要：Existing integrated sensing and communication technology designed for monostatic settings segregates sensing and communication (S&C) at distinct terminals, impeding their adaptability to network paradigms. In this paper, we propose a general framework for joint target-localization and data-detection (JTD) in bistatic settings by using a combination of the deterministic known (DK) and random unknown (RU) symbols, e.g., pilot and data symbols. We first derive the performance limits for target localization-related parameters with combined symbols. We demonstrate that the Fisher information matrix (FIM) for target localization using the DK part can be expressed in a closed form through orthogonal projection, while that using the RU part aligns with the modified FIM in monostatic settings at an exponential rate with respect to the signal-to-noise ratio. Then, we propose a JTD scheme to exploit the reciprocal advantages for S&C, i.e., the detected data symbols are harnessed to enhance target localization in an alternating way. Finally, simulation results validate our theoretical analysis and the effectiveness of the proposed JTD scheme.