Towards SISO Bistatic Sensing for ISAC
🤖 AI Summary
To address clock-asynchronous-induced random phase offsets and Doppler mirroring ambiguities in low-cost single-antenna integrated sensing and communication (ISAC) systems, this paper proposes a self-referenced cross-correlation (SRCC) technique to eliminate phase distortions, coupled with delay-domain beamforming to resolve Doppler ambiguities—yielding unambiguous delay-Doppler-time 3D features. Furthermore, we design a lightweight perception architecture that integrates compact neural networks (e.g., MobileViT-XXS) for efficient parameter estimation. Experiments demonstrate high-accuracy delay and Doppler estimation under both single- and multi-target scenarios; notably, delay estimation performance matches or surpasses conventional multi-antenna approaches. A mere 1.3M-parameter model significantly outperforms baseline features such as CSI magnitude, establishing a deployable sensing paradigm for resource-constrained SISO-ISAC systems.
Application Category
📝 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.
Problem
Research questions and friction points this paper is trying to address.
Addresses clock asynchrony in SISO bistatic sensing
Mitigates Doppler mirroring ambiguity in distorted CSI
Enables accurate delay-Doppler estimation with single antenna
Innovation
Methods, ideas, or system contributions that make the work stand out.
Lightweight SISO sensing framework WiDFS 3.0
Self-referencing cross-correlation for phase removal
Delay-domain beamforming resolves Doppler ambiguity
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