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arXiv · 2605.16196

Fundamental Performance Limits of Non-Coherent ISAC: A Data-Aided Sensing Perspective

Dongsheng Peng·Chengkai Zhao·Yihong Li·Zhiqing Wei·Jun Chen·Ping Chen
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Abstract

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.

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Dongsheng Peng, Chengkai Zhao, Yihong Li, Zhiqing Wei, Jun Chen, Ping Chen. 2026-05-15. Fundamental Performance Limits of Non-Coherent ISAC: A Data-Aided Sensing Perspective. https://arxiv.org/abs/2605.16196

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