Towards SISO Bistatic Sensing for ISAC

• URL: http://arxiv.org/abs/2508.12614v1
• Date: Mon, 18 Aug 2025 04:22:05 GMT
• Title: Towards SISO Bistatic Sensing for ISAC
• Authors: Zhongqin Wang, J. Andrew Zhang, Kai Wu, Min Xu, Y. Jay Guo,
• Abstract summary: WiDFS 3.0 is a lightweight bistatic SISO sensing framework that enables accurate delay and Doppler estimation from distorted CSI.<n>It operates with only a single antenna at both the transmitter and receiver, making it suitable for low-complexity deployments.<n>Extensive experiments show that WiDFS 3.0 achieves accurate parameter estimation, with performance comparable to or even surpassing that of prior multi-antenna methods.
• Score: 30.73172767772004
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Integrated Sensing and Communication (ISAC) is a key enabler for next-generation wireless systems. However, real-world deployment is often limited to low-cost, single-antenna transceivers. In such bistatic Single-Input Single-Output (SISO) setup, clock asynchrony introduces random phase offsets in Channel State Information (CSI), which cannot be mitigated using conventional multi-antenna methods. This work proposes WiDFS 3.0, a lightweight bistatic SISO sensing framework that enables accurate delay and Doppler estimation from distorted CSI by effectively suppressing Doppler mirroring ambiguity. It operates with only a single antenna at both the transmitter and receiver, making it suitable for low-complexity deployments. We propose a self-referencing cross-correlation (SRCC) method for SISO random phase removal and employ delay-domain beamforming to resolve Doppler ambiguity. The resulting unambiguous delay-Doppler-time features enable robust sensing with compact neural networks. Extensive experiments show that WiDFS 3.0 achieves accurate parameter estimation, with performance comparable to or even surpassing that of prior multi-antenna methods, especially in delay estimation. Validated under single- and multi-target scenarios, the extracted ambiguity-resolved features show strong sensing accuracy and generalization. For example, when deployed on the embedded-friendly MobileViT-XXS with only 1.3M parameters, WiDFS 3.0 consistently outperforms conventional features such as CSI amplitude, mirrored Doppler, and multi-receiver aggregated Doppler.

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