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 maintains the merit of co-designing radar sensing and communications on shared spectrum and hardware. Inspired by the appealing benefits of bistatic radar, in this paper, we study the bistatic ISAC, where a transmitter sends messages to a communication receiver and a sensing receiver at another location carries out a decoding-and-estimation (DnE) operation to obtain the state of the communication receiver. In terms of the degree of information decoding at the sensing receiver, we propose three DnE strategies, i.e., the blind estimation, the partial decoding-based estimation, and the full decoding-based estimation, and investigate the corresponding rate-distortion regions. A specific example is provided to illustrate the comparison on the rate-distortion regions of the three DnE strategies and the advantage of ISAC over independent communication and sensing.

翻译：双基地集成感知与通信（ISAC）系统通过采用一对物理分离的感知收发器，避免了单基地ISAC系统中的强自干扰，同时保持了在共享频谱和硬件上协同设计雷达感知与通信的优势。受双基地雷达吸引力的启发，本文研究双基地ISAC，其中发射器将消息发送给通信接收器，而位于另一位置的感知接收器执行解码与估计（DnE）操作以获取通信接收器的状态。基于感知接收器对信息解码的程度，我们提出了三种DnE策略，即盲估计、部分解码估计和全解码估计，并研究了相应的率失真区域。通过一个具体示例，说明了三种DnE策略在率失真区域上的比较，以及ISAC相对于独立通信与感知的优势。