2023/06/11 by Tian Jiao, Kai Wan, Jiao, Tian +9 · 5 citations
Engineering · #FOS: Computer and information sciences #Information Theory (cs.IT) #Radar Systems and Signal Processing
paper · pdf · doi:10.48550/arxiv.2306.06648
openalex publication_date 2023/06/11 · openalex created_date 2023/06/14 · openalex updated_date 2026/07/28
The bistatic integrated sensing and communication (ISAC) system avoids the strong self-interference in a monostatic ISAC system by employing a pair of physically separated sensing transceivers and maintaining the merit of co-designing radar sensing and communication on shared spectrum and hardware. In this paper, we study a bistatic ISAC system with the aim of characterizing its capacity-distortion function, i.e., the maximum achievable communication rate when the sensing accuracy satisfies a given distortion constraint. Based on the proposed information-theoretic model of the bistatic ISAC system, we provide a multi-letter representation of the capacity-distortion function. For ease of calculation, we derive several single-letter lower bounds and upper bounds on the capacity-distortion function. In particular, we provide single-letter representations of the capacity-distortion function for the degraded bistatic ISAC channels. Furthermore, we extend the results to a bistatic ISAC broadcast channel model and obtain the capacity-distortion region with a single-letter characterization in a degraded case. Examples are provided to explicitly illustrate the theoretical results and demonstrate the advantages of ISAC over independent communication and sensing, as well as the benefits of leveraging communication to assist sensing in a bistatic system.