THz sparse periodic array imaging system using compressed sensing

Hu, Shaoqing; Shu, Chao; Alfadhl, Yasir; Chen, Xiao

doi:10.1049/iet-map.2020.0099

Cited by 6 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Concerning all kinds of applications, sensor fusion is still in its infancy. Furthermore, as the hardware aspects mature, smart image acquisition and processing techniques, e.g., employing sparse imaging techniques, become more significant [378,[386][387][388].…”

Section: Thz Mcw Imagingmentioning

confidence: 99%

Roadmap of Terahertz Imaging 2021

Valušis

Lisauskas

Yuan

et al. 2021

Sensors

178

View full text Add to dashboard Cite

In this roadmap article, we have focused on the most recent advances in terahertz (THz) imaging with particular attention paid to the optimization and miniaturization of the THz imaging systems. Such systems entail enhanced functionality, reduced power consumption, and increased convenience, thus being geared toward the implementation of THz imaging systems in real operational conditions. The article will touch upon the advanced solid-state-based THz imaging systems, including room temperature THz sensors and arrays, as well as their on-chip integration with diffractive THz optical components. We will cover the current-state of compact room temperature THz emission sources, both optolectronic and electrically driven; particular emphasis is attributed to the beam-forming role in THz imaging, THz holography and spatial filtering, THz nano-imaging, and computational imaging. A number of advanced THz techniques, such as light-field THz imaging, homodyne spectroscopy, and phase sensitive spectrometry, THz modulated continuous wave imaging, room temperature THz frequency combs, and passive THz imaging, as well as the use of artificial intelligence in THz data processing and optics development, will be reviewed. This roadmap presents a structured snapshot of current advances in THz imaging as of 2021 and provides an opinion on contemporary scientific and technological challenges in this field, as well as extrapolations of possible further evolution in THz imaging.

show abstract

Section: Thz Mcw Imagingmentioning

confidence: 99%

Roadmap of Terahertz Imaging 2021

Valušis

Lisauskas

Yuan

et al. 2021

Sensors

178

View full text Add to dashboard Cite

show abstract

“…The underdetermined equation is transformed into an optimization problem. Solving methods include the greedy algorithm [22], convex optimization algorithm [23], alternating direction multiplier method [24], iterative hard threshold algorithm [25] etc.…”

Section: Compressed Sensing Theory On Pd Signalsmentioning

confidence: 99%

Partial discharge signal compression reconstruction method based on transfer sparse representation and dual residual ratio threshold

Zhao

et al. 2023

IET Science Measure & Tech

View full text Add to dashboard Cite

Partial discharge (PD) signals have a large amount of data and a low energy proportion of pulse signals, resulting in difficult data transmission and poor reconstruction efficiency. To this end, a PD signal compression reconstruction method based on transfer sparse representation and dual residual ratio threshold (TSR‐DRRT) is proposed. TSR‐DRRT is centred on the sparse representation (SR) and accurate reconstruction of noisy signals. The intrinsic pulse of PD signals is extracted by signal decomposition, and jointly trained with different types of signals to establish the transfer SR dictionary. The compressed signal accurately retains the essential characteristics of the pulse information by improving the match between the dictionary atoms and the polymorphic PD pulses. To match the transfer SR dictionary, the inner and outer DRRT iteration termination conditions are set adaptively during the reconstruction process based on the correlation difference between the dictionary and signal frames. Independent control of PD pulse recognition and reconstruction accuracy is achieved, and its performance under noisy signals is improved. The results show that the method can achieve high ratio compression and efficient reconstruction of noisy signals. Different types of PD signals can also have high matching accuracy. This method can meet the demand for PD signals compression and transmission to the terminal for accurate reconstruction.

show abstract

“…Terahertz (THz), a frequency spectrum (0.1−10 THz) between the macrowave and the photonics, exhibits a soaring interest in numerous applications that include non-destructive detection [1][2][3], aerospace [4,5], and medical imaging [6][7][8] due to its unique properties.…”

Section: Introductionmentioning

confidence: 99%

Design of on‐chip antennas for THz detector and source in CMOS (Invited paper)

Zhao

Bai

2023

IET Microwaves Antenna & Prop

View full text Add to dashboard Cite

Different on‐chip antennas in Complementary Metal‐Oxide‐Semiconductor (CMOS) technology for THz detector and source are proposed. Firstly, the size of these antennas is estimated with an equivalent CMOS substrate model. Finally, through electromagnetic simulation, the structure optimised and slotted the on‐chip antenna to realise multi‐band detection, miniaturised detection, and miniaturised source. For the THz detector, multi‐band antennas with a dual‐ring structure and miniaturised antennas with circular and diamond structures are designed. At the frequency of 300, 600, and 800 GHz, the gain of the ring antennas is 5.7, 7.2, and 7.2 dBi, respectively. The gain of the circular and diamond antenna is 5.3 and 5.96 dBi at 300 GHz. For the THz source, rectangular‐slot and T‐slot antennas are designed at the frequency of 300 GHz and the gain of the rectangular‐slot and T‐slot antennas is 2.92 and 3.87 dBi, respectively. Multi‐band antennas and miniaturised antennas effectively save the occupation area and improve the performance of the THz system. The effectiveness of antennas is verified by the measurement of the detector and the source, which indicates that the proposed on‐chip antennas have potential prospects for CMOS THz applications.

show abstract

THz sparse periodic array imaging system using compressed sensing

Cited by 6 publications

References 29 publications

Roadmap of Terahertz Imaging 2021

Roadmap of Terahertz Imaging 2021

Partial discharge signal compression reconstruction method based on transfer sparse representation and dual residual ratio threshold

Design of on‐chip antennas for THz detector and source in CMOS (Invited paper)

Contact Info

Product

Resources

About