In this paper, we investigate a bistatic multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system over block-fading channels, focusing on the scenario where the sensing and communication receivers (Rxs) are co-located. Under the assumption of unknown channel state information (CSI) at the Rx, two schemes are considered: pilot sensing (PS) and data-aided sensing (DAS). The communication rate-sensing distortion functions for both schemes are characterized. For the DAS scheme, a closed-form asymptotic expression for the sensing distortion is derived by using random matrix theory (RMT). The asymptotic performance analysis explicitly quantifies the significant gains of the DAS scheme, revealing a strict $3$ dB effective SNR improvement in the low-SNR regime and a strictly faster performance scaling rate in the high-SNR limit compared to the PS scheme.

翻译：本文研究了一种在块衰落信道上工作的双基地多输入多输出（MIMO）集成感知与通信（ISAC）系统，重点关注感知与通信接收机（Rxs）共址的场景。在接收端未知信道状态信息（CSI）的假设下，考虑了两种方案：导频感知（PS）与数据辅助感知（DAS）。表征了两种方案下的通信速率-感知失真函数。针对DAS方案，利用随机矩阵理论（RMT）导出了感知失真的闭式渐近表达式。渐近性能分析明确量化了DAS方案的显著增益，揭示了相较于PS方案，在低信噪比（SNR）区域存在严格的3 dB有效SNR提升，而在高SNR极限下具有严格更快的性能缩放速率。