文献类型：期刊文献

英文题名：Data-Aided Target Localization in Multistatic ISAC Systems With Communication Constraints

作者：Zhao, Na[1]; Shen, Xiao[2]; Ge, Chao[2]; Lu, Ziping[2]; Shen, Yuan[2]

第一作者：Zhao, Na

机构：[1] Smart City College, Beijing Union University, 100101, China; [2] Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, 100084, China

第一机构：北京联合大学智慧城市学院

年份：2026

外文期刊名：arXiv

收录：EI(收录号：20260391768)

语种：英文

外文关键词：Data communication systems - Data handling - Data transfer - Signal receivers

摘要：Integrated sensing and communication (ISAC) enables future wireless networks to perform sensing and communication (S&C) over a shared waveform. In multistatic ISAC systems, however, the sensing receivers do not know the realizations of transmitted data symbols, making it challenging to exploit communication signals for sensing. In this paper, we propose a data-aided framework for target localization with two receiver strategies, namely statistical data-aided sensing and joint data-aided sensing and decoding, where the former marginalizes the random unknown data symbols and the latter reuses the reliably decoded data symbols as known virtual pilots. Under orthogonal frequency division multiplexing (OFDM) signaling, we derive the performance limits for target localization in both strategies and adopt the achievable ergodic data rate as the communication metric. Then, we formulate a joint time-allocation and transmit data-covariance design problem for target localization under communication constraints, which characterizes the joint S&C bound and quantifies the sensing gain provided by data symbols. In addition, we develop two target localization algorithms that implement the proposed data-aided receiver processing, and extend the framework to finite-alphabet signaling. Simulation results validate theoretical analysis and the effectiveness of the proposed data-aided schemes. Copyright ? 2026, The Authors. All rights reserved.