Millimeter-Wave 3-D Imaging Using Leaky-Wave Antennas and an Extended Rytov Approximation in a Frequency-Diverse MIMO System

Ma, Dingfei; Zhang, Yifu; Dubey, Amartansh; Deshmukh, Samruddhi; Shen, Shanpu; Murch, R.D.

doi:10.1109/tmtt.2022.3223931

Cited by 18 publications

(2 citation statements)

References 75 publications

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“…While numerous Wi-Fi nodes around the domain of interest (DOI) pose a challenge for deployment, researchers are exploring ways to maintain performance with fewer nodes for commercial use. (Xu et al 2012;Bocca et al 2014;Xu et al 2016;Wang et al 2017;Ma et al 2023). The deployment can also be simplified using drones carrying nodes (Karanam and Mostofi 2017) or intelligent reflective surfaces integrated into building materials (Wu et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion

Fan,

Tian,

Dubey

et al. 2024

AAAI

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Device-free localization (DFL) using easily-obtained Wi-Fi received signal strength (RSS) has wide real-world applications for not requiring people to carry trackable devices. However, accurate multitarget DFL remains challenging due to the unknown number of targets, multipath interference (MPI), especially between nearby targets, and limited real-world data. In this study, we pioneeringly propose a transformer-based learning method with Wi-Fi RSS as input, and an attentional prior fusion module, to simultaneously locate an unknown number of people at random positions. To overcome the multitarget data collection challenges, we contribute a large-scale cross-domain real-simulation-augmentation training dataset with one and two real-world nearby non-person objects at limited positions and up to five simulated and augmented randomly distributed targets. Experimental results demonstrate our method's improved accuracy, generalization ability, and robustness with fewer Wi-Fi nodes than previous methods.

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Section: Introductionmentioning

confidence: 99%

Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion

Fan,

Tian,

Dubey

et al. 2024

AAAI

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“…In the realm of frequency-scanning-based imaging, the fundamental concept involves illuminating an object-under-test (OUT) with varying incident angles corresponding to different frequencies 35,36 . A novel imaging system has emerged, leveraging high-scanning-rate leaky-wave antennas (LWAs) to achieve image reconstruction within narrow bandwidths 37,38 . Existing literature explores diverse types of frequency scanning antennas, including phased arrays [39][40][41][42] and multi-beam antennas [43][44][45] but with complex feeding networks or active components.…”

Section: Introductionmentioning

confidence: 99%

Multi-diverse metasurfaces for fast wide-angle sensing and through-wall imaging

Wong

Liu

2023

Preprint

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Multi-diverse metasurfaces play a crucial role in enhancing the capacity of sensing, radar, imaging, and communication systems through electromagnetic wave manipulation across different diversity controls. Currently, the primary approach for achieving multidimensional manipulation is through the use of dynamic metasurfaces. However, this method has drawbacks when it comes to fast sensing and imaging because of limitations in pattern switching speed. To address this issue, we propose a novel microwave-to-millimeter-wave meta-atom that provides polarization and frequency diversities. The meta-atoms formed in an array with a disordered permutation enable a wide-angle near-field fast sensing for tracking the moving trajectory of an object. Moreover, employing a dispersion-engineered strategy to arrange the meta-atoms in an array allows for high-gain through-wall imaging, enabling the detection of a sparse object with varying shapes and positions. The achieved result confirms that the proposed technology paves the way for developing multi-diverse metasurfaces that possess fast detecting and through-wall imaging capabilities. This breakthrough creates opportunities for identifying previously unseen modalities, and opens up new possibilities in various applications such as autonomous vehicles, all-weather sensing in surveillance, and radar integrated communication systems in 6G and beyond.

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The role of analog signal processing in upcoming telecommunication systems: Concept, challenges, and outlook

Safari,

Pourrostam

2024

Signal Processing

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Millimeter-Wave 3-D Imaging Using Leaky-Wave Antennas and an Extended Rytov Approximation in a Frequency-Diverse MIMO System

Cited by 18 publications

References 75 publications

Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion

Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion

Multi-diverse metasurfaces for fast wide-angle sensing and through-wall imaging

The role of analog signal processing in upcoming telecommunication systems: Concept, challenges, and outlook

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