Wireless Sensing via Pinching-Antenna Systems

A wireless sensing architecture via pinching antenna systems is proposed. Compared to conventional wireless systems, PASS offers flexible antenna deployment and improved probing performance for wireless sensing by leveraging dielectric waveguides and pinching antennas (PAs). To enhance signal reception, leaky coaxial (LCX) cables are used to uniformly collect echo signals over a wide area. The Cramér-Rao bound (CRB) for multi-target sensing is derived and then minimized through the joint optimization of the transmit waveform and the positions of PAs. To solve the resulting highly coupled, non-convex problem, a two-stage particle swarm optimization (PSO)-based algorithm is proposed. Numerical results demonstrate significant gains in sensing accuracy and robustness over conventional sensing systems, highlighting the benefits of integrating LCX-based reception with optimized PASS configurations.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-08-04
DOI
https://doi.org/10.1109/lwc.2025.3595160
Citations
8
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
39.95
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article

Wireless Sensing via Pinching-Antenna Systems

Arumugam Nallanathan, Chongjun Ouyang, Yuanwei Liu, Zhaolin Wang
8 citations
IEEE Wireless Communications Letters
Antenna Design and Analysis
39.95
article

Wireless Sensing via Pinching-Antenna Systems

Arumugam Nallanathan, Chongjun Ouyang, Yuanwei Liu, Zhaolin Wang
article en
8 citations

Abstract

A wireless sensing architecture via pinching antenna systems is proposed. Compared to conventional wireless systems, PASS offers flexible antenna deployment and improved probing performance for wireless sensing by leveraging dielectric waveguides and pinching antennas (PAs). To enhance signal reception, leaky coaxial (LCX) cables are used to uniformly collect echo signals over a wide area. The Cramér-Rao bound (CRB) for multi-target sensing is derived and then minimized through the joint optimization of the transmit waveform and the positions of PAs. To solve the resulting highly coupled, non-convex problem, a two-stage particle swarm optimization (PSO)-based algorithm is proposed. Numerical results demonstrate significant gains in sensing accuracy and robustness over conventional sensing systems, highlighting the benefits of integrating LCX-based reception with optimized PASS configurations.

IEEE Wireless Communications LettersVol. 14(11)
University College Dublin (IE), Queen Mary University of London (GB), University of Hong Kong (HK)
Affordable and clean energy
Openalex Percentile: Top 0%
Antenna Design and Analysis
39.95
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Wireless Sensing via Pinching-Antenna Systems — Arumugam Nallanathan, Chongjun Ouyang, et al. · IEEE Wireless Communications Letters (2025) | TGRS Research Map | TGRS