Hongyi Wang

Tianjin Polytechnic University

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Bingbing Zhang

Beijing Satellite Navigation Center

Limei Song

Tianjin Polytechnic University

Jiancheng Li

Chinese Research Academy of Environmental Sciences

Feng Dong

Tianjin University

Qing Yang

Northwest Institute of Mechanical and Electrical Engineering

Zhuang Zhao-wen

National University of Defense Technology

Xinjun Zhu

Tianjin Polytechnic University

Xiaochen Gu

National University of Defense Technology

Jianfei Wu

National University of Defense Technology

Qinghua Guo

University of Wollongong

Cooperative Institutions

Chinese Academy of Sciences

National University of Defense Technology

Tianjin Polytechnic University

University of Chinese Academy of Sciences

Shandong University

Zhengzhou University

Huazhong University of Science and Technology

Zhejiang University

Xi'an Jiaotong University

Shanghai Jiao Tong University

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A study of transportation planning model for developing area

Hongyi Wang

Transportation planning

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A highly integrated one cell battery management chip for wearables

Analog Integrated Circuits and Signal Processing (2022)

Kaikai Wu Hongyi Wang Chen Chen Tao Tao

Overcurrent

10.1007/s10470-022-02101-3

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Citations (1)

Research on Ambient Backscatter Communication Signal Detection Algorithm Based on Digital Terrestrial Multimedia Broadcast

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) (2022)

Chen Ruan Hongyi Wang Liming Zheng Jianfei Wu Fengxian Ma

Digital Terrestrial Multimedia Broadcast (DTMB) has high signal coverage and strong stability, so it can be used in Ambient Backscatter Communication (AmBC). To solve the problem of signal detection performance degradation of traditional algorithm in high backscattering rate scenes, this paper presents a signal detection algorithm based on DTMB frame structure. By introducing preamble, the receiver can not only detect the reflected link signal from the received signal, but also perceive the corresponding relationships between the information symbol and the DTMB signal frame; by introducing training symbol, the receiver can get the decision threshold of the information symbol, and then complete the demodulation of the information symbol. Simulation results show that the proposed algorithm significantly improves the signal detection performance.

Preamble

SIGNAL (programming language)

Symbol (formal)

Backscatter (email)

Detection theory

Symbol rate

10.1109/iemtronics55184.2022.9795766

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A high precision and low noise S/H circuit design for video signal sampling

Xinquan Lai Donglai Xu Lvshun Hu Hongyi Wang

This paper presents an improved sample/hold (S/H) circuit design for analog LCD applications. The circuit possesses the dual characteristics of high sampling precision and low switch noise and is thus suitable for video signal sampling applications. In order to increase accuracy of sampling and to reduce switch noise, the design uses an operational amplifier with current-mode switch, which incorporates an improved buffer amplifier, and introduces a noise elimination technique by using a differential amplifier. The simulation results show that for a typical signal sampling application and its BiCMOS implementation, the design has achieved a minimal signal distortion and significantly reduced noise effect.

Sample and hold

SIGNAL (programming language)

Distortion (music)

10.1109/icecs.2004.1399680

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User Centric Low Latency Data Transmission in Ultra Dense Vehicular Networks

2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) (2019)

Wei-Tsang Teng Chin-Ya Huang Shan-Hsiang Shen Tai-Lin Chin Chung-An Shen

In this paper, we propose a user centric bandwidth allocation scheme for low latency data transmission in ultra dense vehicular networks. Various mobile devices such as mobile phones, sensors of vehicles or autonomous driving systems,require low latency and bandwidth intensive packet delivery between the devices and the Internet aiming to support real-time applications. In the ultra dense vehicular network, small base stations (SBSs) are densely deployed in a fixed geographic area to provides higher date rate. In further, each SBS cooperates with others to form clusters to better support seamless wireless data transmissions, and each mobile device dynamically plans its wireless connectivity for data transmission when it moves in the network. Specifically, each mobile device pre-allocates the amount of bandwidth from a cluster, formed by several SBSs, based on its expected movement, the delay and band-width requirement of the packet transmission and the resource availability of each cluster. Moreover, to effectively utilize the available network resource, each cluster also redistributes its residual bandwidth to the mobile devices pre-allocate bandwidth from it. Consequently, the latency of the data transmission can be better sustained in the ultra dense vehicular network.

Mobile broadband

10.1109/vtcfall.2019.8891249

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Study on the precision evaluation method for a specific category in the classification of remote sensing image

Hongyi Wang Xiaoqing Wang Aixia Dou

The Kappa value mainly reflects the overall classification accuracy, but it is hard to evaluate whether a specific classification is optimal or not. In earthquake forecast, an indicator, R-value, is widely used to evaluate the predicting effect of a forecasting method. This paper introduces the R-value to evaluate the classifying accuracy of a specific category in image classification. The range and implication of R-value for a specific category are described and compared. As an example, analyses are performed to determine the R-value of classified building damage grade extracted from RS image, compared with building damage grade determined according to ground survey in order to get the best corresponding relationship between them. The results demonstrate that the best corresponding scheme with maximum R-values is consistent with the subjective understanding. It indicates that the R-value method gives richer classification accuracy assessment information than the Kappa method. It is expected to be applied to the evaluation of classifying accuracy of a particular category and the determination of the best scheme in image classification.

Cohen's kappa

Value (mathematics)

Contextual image classification

Kappa

10.1109/igarss.2012.6351238

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Design and implementation of the portable IR targets automatic detecting and tracking system based on USB2.0

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2007)

Wenjuan Dong Hongyi Wang Meng Cheng Zengping Chen

Aiming at the requirement of high frame frequency, real-time processing of detecting and tracking target in modern IR defense and detecting system, this article introduces the design and engineering implementation of a portable IR target automatic detecting and tracking system. Firstly analyzes the overall structure and introduce the composition and function in detail. Secondly puts forward the flow of low-altitude infrared small target detecting and tracking algorithm, then researches the background suppressing and detecting technology of far-distance weak small targets with low SCR. Finally aiming at the key technology of real-time processing with the limit of volume and power, a project of real-time signal processor that is reconfigurable based on DSP+FPGA is proposed and implemented, which sends the images and detecting results to host computer by USB2.0 interface. Besides, the hardware architecture, the target detecting flow in DSP, the driver and the firmware of USB2.0 are introduced too. The experimental result shows that this system can detect and track the target automatically and accurately, which satisfy the requirement of the real-time performance of the system.

Firmware

Interface (matter)

Tracking (education)

Tracking system

10.1117/12.742806

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Study on a modified assessment of seismic intensity based on both multi-source RS images and spatial grid analysis

Xiaoqing Wang Aixia Dou Xiang Ding Xiaoxiang Yuan Hongyi Wang

The seismic damage index (DI) has been developed to be calculated based on the damage interpretation of buildings et al from remote sensing, and further converted to the seismic intensity, but the statistical unit (usually a village or street block) for DI is pre-required. This will affect the timeliness in the emergency stage. The other case is that different capability exist in building damage extraction from multi-source RS images. So it must first convert the DIs evaluated from various images into comparable DIs. The authors in this paper propose an improved method of DI assessment of seismic damage and intensity in gridding unit with multi-source images, and then build new conversion equations according to building damage by both the extraction from aerial RS images and field survey in the disaster region of 2003 Ms7.0 Lushan earthquake. The validation check of the equivalent DIs show high consistency with the ground truth, which implicate that the method and empirical DI conversion models proposed in the paper is applicable in earthquake emergency stage.

Intensity

10.1109/igarss.2016.7730094

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Citations (2)

Three-Dimensional Reconstruction of Dilute Bubbly Flow Field With Light-Field Images Based on Deep Learning Method

IEEE Sensors Journal (2021)

Hongyi Wang Hongyu Wang Xinjun Zhu Limei Song Qinghua Guo

The three-dimensional reconstruction of bubble flow field is of great significance to study the motion of gas-liquid two phase flow. Combined with the abundant information of bubbles in the light field images, a fast and accurate 3D reconstruction method for dilute bubbly flow based on the deep learning algorithm DIF-LeNet (Double Information Fusion with LeNet5 net) is proposed in this work. The calibration method and bubble segmentation algorithm of light field image for data processing is detailed. DIF-LeNet realizes the fusion of different dimension data and regression prediction. By DIF-LeNet, bubble depth could be predicted by fusing the refocused bubble image with the focal distance of the refocused image. Then, the three-dimensional bubble field could be reconstructed with the bubble depth, bubble center and bubble diameter. Comparing with the reconstruction method based on statistics and LeNet5, the reconstruction accuracy and speed of the proposed method based on DIF-LeNet are improved. Especially for the bubble without focused image in the refocused image sequence, the effect of 3D reconstruction based on DIF-LeNet is much prominent.

Light Field

Optical Flow

10.1109/jsen.2021.3065374

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Citations (17)

A high linearity downconverter for digital broadcasting system

Journal of Semiconductors (2014)

Songting Li Jiancheng Li Xiaochen Gu Hongyi Wang Zhuang Zhao-wen

An integrated downconverter with high linearity for digital broadcasting system receivers is implemented in a 0.13 μm CMOS process with an active area of 0.1 mm2. The current-mode scheme is adopted to improve linearity performance by avoiding voltage fluctuation. A passive CMOS switching pair is utilized to improve the even-order linearity of the downconverter. A current amplifier is used to provide low input impedance which will easily lead to a wide operating bandwidth and high linearity. Moreover, a current-mode Sallen-Key low-pass filter is adopted for effective rejection of out-of-band interferers and also low input impedance. The digital-assisted DC offset calibration improves the second-order distortion of the downconverter. This design achieves a maximum gain of 40 dB and a dynamic range of 10 dB. Measured noise figure is 8.2 dB, an IIP2 of 63 dBm, an IIP3 of 17 dBm at the minimum gain of 30 dB. The downconverter consumes about 7.7 mA under a supply of 1.2 V.

Linearity

10.1088/1674-4926/35/12/125010

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