Submit to Sensors Review for Sensors Propose a Special Issue

Journal Browser

State-of-the-Art Sensors Technology in China 2020–2021

Print Special Issue Flyer
Special Issue Editors
Special Issue Information
Keywords
Published Papers

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "State-of-the-Art Sensors Technologies".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 11025

Share This Special Issue

Special Issue Editors

Dr. Bin Zhou

E-Mail Website
Guest Editor

Associate Professor. Department of Precision Instrument, Engineering Research Center for Navigation Technology, Tsinghua University, Beijing 100084, China
Interests: MEMS inertial sensors; capacitance angular encoder

Dr. Qi Wei

E-Mail Website
Guest Editor

Special Issue Information

Dear Colleagues,

This Special Issue aims to provide a comprehensive overview of state-of-the-art of sensor technology in China. We invite research papers that will consolidate our understanding in this area. The Special Issue will publish full Research Articles and Systematic Reviews. Potential topics include, but are not limited to, the following research areas:

Sensor design, model, and simulation
Material properties analysis and processing technology for sensors
Signal processing electronics for sensors
Application specific integrated circuit design for sensors
Control methods for sensors
System design and implement for sensor applications

Dr. Bin Zhou
Dr. Qi Wei
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

design
processing technology
electronics
control method
system design

Published Papers (4 papers)

Download All Papers

Research

Jump to: Other

18 pages, 3418 KiB

Open AccessCommunication

Optical Design of Imaging Spectrometer Based on Linear Variable Filter for Nighttime Light Remote Sensing

by Yunqiang Xie, Chunyu Liu, Shuai Liu and Xinghao Fan

Sensors 2021, 21(13), 4313; https://0-doi-org.brum.beds.ac.uk/10.3390/s21134313 - 24 Jun 2021

Cited by 10 | Viewed by 2193

Abstract

Nighttime light remote sensing has unique advantages on reflecting human activities, and thus has been used in many fields including estimating population and GDP, analyzing light pollution and monitoring disasters and conflict. However, the existing nighttime light remote sensors have many limitations because they are subject to one or more shortcomings such as coarse spatial resolution, restricted swath width and lack of multi-spectral data. Therefore, we propose an optical system of imaging spectrometer based on linear variable filter. The imaging principle, optical specifications, optical design, imaging performance analysis and tolerance analysis are illustrated. The optical system with a focal length of 100 mm, F-number 4 and 43° field of view in the spectrum range of 400–1000 nm is presented, and excellent image quality is achieved. The system can obtain the multi-spectral images of eight bands with a spatial resolution of 21.5 m and a swath width of 320 km at the altitude of 500 km. Compared with the existing nighttime light remote sensors, our system possesses the advantages of high spatial and high spectral resolution, wide spectrum band and wide swath width simultaneously, greatly making up for the shortage of the present systems. The result of tolerance analysis shows our system satisfy the requirements of fabrication and alignment. Full article

(This article belongs to the Special Issue State-of-the-Art Sensors Technology in China 2020–2021)

► Show Figures

Figure 1

25 pages, 7024 KiB

Open AccessArticle

A Direction-of-Arrival Estimation Algorithm Based on Compressed Sensing and Density-Based Spatial Clustering and Its Application in Signal Processing of MEMS Vector Hydrophone

by Huichao Yan, Ting Chen, Peng Wang, Linmei Zhang, Rong Cheng and Yanping Bai

Sensors 2021, 21(6), 2191; https://0-doi-org.brum.beds.ac.uk/10.3390/s21062191 - 21 Mar 2021

Cited by 5 | Viewed by 2801

Abstract

Direction of arrival (DOA) estimation has always been a hot topic for researchers. The complex and changeable environment makes it very challenging to estimate the DOA in a small snapshot and strong noise environment. The direction-of-arrival estimation method based on compressed sensing (CS) is a new method proposed in recent years. It has received widespread attention because it can realize the direction-of-arrival estimation under small snapshots. However, this method will cause serious distortion in a strong noise environment. To solve this problem, this paper proposes a DOA estimation algorithm based on the principle of CS and density-based spatial clustering (DBSCAN). First of all, in order to make the estimation accuracy higher, this paper selects a signal reconstruction strategy based on the basis pursuit de-noising (BPDN). In response to the challenge of the selection of regularization parameters in this strategy, the power spectrum entropy is proposed to characterize the noise intensity of the signal, so as to provide reasonable suggestions for the selection of regularization parameters; Then, this paper finds out that the DOA estimation based on the principle of CS will get a denser estimation near the real angle under the condition of small snapshots through analysis, so it is proposed to use a DBSCAN method to process the above data to obtain the final DOA estimate; Finally, calculate the cluster center value of each cluster, the number of clusters is the number of signal sources, and the cluster center value is the final DOA estimate. The proposed method is applied to the simulation experiment and the micro electro mechanical system (MEMS) vector hydrophone lake test experiment, and they are proved that the proposed method can obtain good results of DOA estimation under the conditions of small snapshots and low signal-to-noise ratio (SNR). Full article

(This article belongs to the Special Issue State-of-the-Art Sensors Technology in China 2020–2021)

► Show Figures

Figure 1

14 pages, 7417 KiB

Open AccessArticle

A Digital-Analog Hybrid System-on-Chip for Capacitive Sensor Measurement and Control

by Zhenyi Gao, Bin Zhou, Xiang Li, Lei Yang, Qi Wei and Rong Zhang

Sensors 2021, 21(2), 431; https://0-doi-org.brum.beds.ac.uk/10.3390/s21020431 - 09 Jan 2021

Cited by 2 | Viewed by 2668

Abstract

Sensors based on capacitance detection are common in the field of inertial measurement and have the potential for miniaturization and low power consumption. In order to control and process such sensors, a novel digital-analog hybrid system-on-chip (SoC) is designed and implemented. The system includes a capacitor to voltage (C/V) conversion circuit and a band-pass sigma-delta modulator (BPSDM) as the analog-to-digital converter (ADC). The digital signal is processed by the dedicated circuit module based on the least mean square error demodulation (LMSD) algorithm on the chip. The low-power Cortex-M3 processor supports software implementation of control algorithms and circuit parameter configuration. The control signal is output through a digital BPSDM. The chip was taped out under SMIC 180 nm Complementary Metal Oxide Semiconductor (CMOS) technology and tested for performance. The result shows that the maximum operating frequency of the chip is 105 MHz. The total area is 77.43 mm². When the system clock is set to 51.2 MHz, the static power consumption and dynamic power consumption of the digital system are 18 mW and 54 mW respectively. Full article

(This article belongs to the Special Issue State-of-the-Art Sensors Technology in China 2020–2021)

► Show Figures

Figure 1

Other

Jump to: Research

11 pages, 3842 KiB

Open AccessBrief Report

The Instrument Design of Lightweight and Large Field of View High-Resolution Hyperspectral Camera

by Xinghao Fan, Chunyu Liu, Shuai Liu, Yunqiang Xie, Liangliang Zheng, Tiancong Wang and Qinping Feng

Sensors 2021, 21(7), 2276; https://0-doi-org.brum.beds.ac.uk/10.3390/s21072276 - 24 Mar 2021

Cited by 7 | Viewed by 2654

Abstract

The design of compact hyperspectral cameras with high ground resolution and large field of view (FOV) is a challenging problem in the field of remote sensing. In this paper, the time-delayed integration (TDI) of the digital domain is applied to solve the issue of insufficient light energy brought by high spatial resolution, and a hyperspectral camera with linear variable filters suitable for digital domain TDI technology is further designed. The camera has a wavelength range of 450–950 nm, with an average spectral resolution of 10.2 nm. The paper also analyzed the effects of digital domain TDI on the signal–noise ratio (SNR) and the spectral resolution. During its working in orbits, we have obtained high-SNR images with a swath width of 150 km, and a ground sample distance (GSD) of 10 m @ 500 km. The design of the hyperspectral camera has an improved spatial resolution while reducing the cost. Full article

(This article belongs to the Special Issue State-of-the-Art Sensors Technology in China 2020–2021)

► Show Figures