Microwave Surveillance Based on Ghost Imaging and Distributed Antennas

Wang, Xiaopeng; Lin, Zihuai

doi:10.1109/lawp.2016.2538787

Cited by 15 publications

(2 citation statements)

References 21 publications

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“…Reference [21] and [22] use microwave ghost imaging principles in distributed antenna settings to approach the problem. WiFi transmissions include a known preamble part, which helps in extracting CSI and data recovery, and a random data payload part.…”

Section: Wifi Imagingmentioning

confidence: 99%

Wi2Vi: Generating Video Frames from WiFi CSI Samples

Kefayati¹,

Pourahmadi²,

Hassan³

2020

Preprint

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Objects in an environment affect electromagnetic waves. While this effect varies across frequencies, there exists a correlation between them, and a model with enough capacity can capture this correlation between the measurements in different frequencies. In this paper, we propose the Wi2Vi model for associating variations in the WiFi channel state information with video frames. The proposed Wi2Vi system can generate video frames entirely using CSI measurements. The produced video frames by the Wi2Vi provide auxiliary information to the conventional surveillance system in critical circumstances. Our implementation of the Wi2Vi system confirms the feasibility of constructing a system capable of deriving the correlations between measurements in different frequency spectrums.

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Section: Wifi Imagingmentioning

confidence: 99%

Wi2Vi: Generating Video Frames from WiFi CSI Samples

Kefayati¹,

Pourahmadi²,

Hassan³

2020

Preprint

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“…Ghost imaging (GI) [1,2], as an active optical imaging technique, has more advantages than traditional passive imaging mechanisms in many fields, such as remote sensing [3], medical imaging [4], optical encryption [5], and object tracking [6]. In these imaging schemes, an object can be reconstructed by two correlated light beams and two detectors.…”

Section: Introductionmentioning

confidence: 99%

Corner detection based on gradient ghost imaging

Chen¹,

Cheng²,

Yu-bao³

et al. 2019

J. Opt.

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Gradient ghost imaging (GGI) is a new imaging method that can directly extract the edge of a target from the correlation of light intensity fluctuations. However, there are problems of poor image quality and practicability in GGI. The corner point is an important target feature and has important applications in the fields of image processing and machine vision. In this paper, we propose a corner detection scheme that combines a corner detection algorithm based on curvature scale space with a GGI system, which can directly extract corner points from the reconstruction results of ghost imaging. A simulation and experimental results show that our method can acquire precise and robust corner information of an unknown target in undersampled cases, which promotes the practical development of ghost imaging.

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