Subspace-Based Super-Resolution Sensing for Bi-Static ISAC with Clock Asynchronism Article Swipe

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Jingbo Zhao , Zhaoming Lu , J. Andrew Zhang , Jiaxi Zhou , Weicai Li , Tao Gu ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2505.10174

Bi-static sensing is an attractive configuration for integrated sensing and communications (ISAC) systems; however, clock asynchronism between widely separated transmitters and receivers introduces time-varying time offsets (TO) and phase offsets (PO), posing significant challenges. This paper introduces a signal-subspace-based framework that estimates decoupled angles, delays, and complex gain sequences (CGS)-- the target-reflected signals -- for multiple dynamic target paths. The proposed framework begins with a novel TO alignment algorithm, leveraging signal subspace or covariance, to mitigate TO variations across temporal snapshots, enabling coherent delay-domain analysis. Subsequently, subspace-based methods are developed to compensate for TO residuals and to perform joint angle-delay estimation. Finally, leveraging the high resolution in the joint angle-delay domain, the framework compensates for the PO and estimates the CGS for each target. The framework can be applied to both single-antenna and multi-antenna systems. Extensive simulations and experiments using commercial Wi-Fi devices demonstrate that the proposed framework significantly surpasses existing solutions in parameter estimation accuracy and delay resolution. Notably, it uniquely achieves a super-resolution in the delay domain, with a probability-of-resolution curve tightly approaching that in synchronized systems.

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2505.10174
PDF: https://arxiv.org/pdf/2505.10174
OA Status: green
OpenAlex ID: https://openalex.org/W4415199739

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DOI: https://doi.org/10.48550/arxiv.2505.10174

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Title: Subspace-Based Super-Resolution Sensing for Bi-Static ISAC with Clock Asynchronism

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-05-15

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Authors: Jingbo Zhao, Zhaoming Lu, J. Andrew Zhang, Jiaxi Zhou, Weicai Li, Tao Gu

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Landing page: https://arxiv.org/abs/2505.10174

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PDF URL: https://arxiv.org/pdf/2505.10174

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OA status: green

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Cited by: 0

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