Information-Theoretic Limits of Bistatic Integrated Sensing and Communication

作     者：Jiao, Tian Wan, Kai Wei, Zhiqiang Geng, Yanlin Li, Yonglong Yang, Zai Caire, Giuseppe 

作者机构：School of Mathematics and Statistics Xi’an Jiaotong University Xi’an710049 China Peng Cheng Laboratory Guangdong Shenzhen518055 China  Guangdong Guangzhou510555 China School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China State Key Laboratory of ISN Xidian University Xi’an710049 China Electrical Engineering and Computer Science Department Technische Universität Berlin Berlin10587 Germany 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2023年

核心收录：

主　　题：Transmitters 

摘      要：Bistatic sensing refers to scenarios where the transmitter (illuminating the target) and the sensing receiver (estimating the target state) are physically separated, in contrast to monostatic sensing, where both functions are co-located. In practical settings, bistatic sensing may be required either due to inherent system constraints or as a means to mitigate the strong self-interference encountered in monostatic configurations. A key practical challenge in bistatic radio-frequency radar systems is the synchronization and calibration of the separate transmitter and sensing receiver. In this paper, we are not concerned with these signal processing aspects and take a complementary information-theoretic perspective on bistatic integrated sensing and communication (ISAC). Namely, we aim to characterize the capacity-distortion function—the fundamental tradeoff between communication capacity and sensing accuracy. We consider a general discrete channel model for a bistatic ISAC system and derive a multi-letter representation of its capacity-distortion function. Then, we establish single-letter upper and lower bounds and provide exact single-letter characterizations for degraded bistatic ISAC channels. Furthermore, we extend our analysis to a bistatic ISAC broadcast channel and derive the capacity-distortion region with a single-letter characterization in the degraded case. Numerical examples illustrate the theoretical results, highlighting the benefits of ISAC over separate communication and sensing, as well as the role of leveraging communication to assist sensing in bistatic systems. Copyright © 2023, The Authors. All rights reserved.