Ming Li

Prof. Dr. Ming Li

Ocean University of China, College of Engineering
orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 January 2015 in Journal of Intelligent & Robotic Systems
Verified
Journal Article
Closed access
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RYRui Yang
Rui Yang
Benoit CLEMENTBenoit CLEMENT
Benoit CLEMENT
Ali MANSOURAli MANSOUR
Ali MANSOUR
MLMing Li
Ming Li
NWNailong Wu
Nailong Wu

19 July 2021 in Remote Sensing
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Journal Article
Open access
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Yonggang JiYonggang Ji
Yonggang Ji
YWYiming Wang
Yiming Wang
Weimin HuangWeimin Huang
Weimin Huang
WSWeifeng SUN
Weifeng SUN
JZJie Zhang
Jie Zhang
XCXiaoyu Cheng
Xiaoyu Cheng
For shipborne high-frequency surface wave radar (HFSWR), the movement of the ship has a great impact on the radar echo, thus affecting target detection performance. In this paper, the characteristics of the target echo spectrum and the motion compensation methods for shipborne HFSWR are investigated. Firstly, simulation analysis of echo from a moving target under different ship motion conditions was conducted with a focus on the frequency shift and broadening characteristics of the target echo spectrum. The simulation results show that the non-uniform linear motion and yaw of the ship will shift and broaden the target echoes, resulting in signal-to-noise ratio (SNR) reduction. When the ship velocity and yaw angle change periodically, false target echo peaks will appear in the echo spectrum, which will reduce the accuracy of target detection. To tackle this problem, a motion compensation scheme for the target echo is proposed, including the heading compensation for the effect of yaw and the velocity compensation for non-uniform movement. The influence of the velocity and yaw angle measurement accuracy on the compensation results is also analyzed. Finally, the target echo characteristics and motion compensation method of shipborne HFSWR are verified with experimental data.

2 February 2020 in Remote Sensing
Verified
Journal Article
Open access
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Yonggang JiYonggang Ji
Yonggang Ji
JZJie Zhang
Jie Zhang
YWYiming Wang
Yiming Wang
CYChao Yue
Chao Yue
WGWeichun Gong
Weichun Gong
MLMing Li
Ming Li
The coast–ship bistatic high-frequency surface wave radar (HFSWR) not only has the anti-interference advantages of the coast-based bistatic HFSWR, but also has the advantages of maneuverability and an extended detection area of the shipborne HFSWR. In this paper, theoretical formulas were derived for the coast–ship bistatic radar, including the first-order sea clutter scattering cross-section and the Doppler frequency shift of moving targets. Then, simulation results of the first-order sea clutter spectrum under different operating conditions were given, and the range of broadening of the first-order sea clutter spectrum and its influence on target detection were investigated. The simulation results show the broadening ranges of the right sea clutter spectrum and left sea clutter spectrum were symmetric when the shipborne platform was anchored, whereas they were asymmetric when the shipborne platform was underway. This asymmetry is primarily a function of platform velocity and radar frequency. Based on experimental data of the coast–ship bistatic HFSWR conducted in 2019, the broadening range of the sea clutter and the target frequency shift were analyzed and compared with simulation results based on the same parameter configuration. The agreement of the measured results with the simulation results verifies the theoretical formulas.

1 June 2010
Verified
Conference Paper
Closed access
FXFang Xiong
Fang Xiong
YWYue Wang
Yue Wang
MLMing Li
Ming Li
WKWang Ke
Wang Ke
LWLei Wanjun
Lei Wanjun
Grid synchronization is one of the most important issues of the distributed power generation system (DPGS) connected to utility network. This paper proposes a novel phase-locked loop (PLL) for synchronization of power electronic converters in unbalanced and variable-frequency environments. The method utilizes double rotating reference frames to transform the input signal and detects the positive fundamental component and negative sequence component simultaneously. It's based on a synthesis circuit which generates the orthogonal and in-phase signals to decouple input signal. This method detects the phase without distortion even in variable-frequency environment comparing with existing synchronization methods. Structural simplicity of the method greatly simplifies its implementation in digital software and/or hardware environments. This paper gives a description and derivation of the method. Its excellent performance is verified by simulation.

29 August 2020 in Remote Sensing
Verified
Journal Article
Open access
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DZDi Zhu
Di Zhu
JNJiong Niu
Jiong Niu
MLMing Li
Ming Li
LZLing Zhang
Ling Zhang
Yonggang JiYonggang Ji
Yonggang Ji
JWJonathan Wu
Jonathan Wu
The shipborne high-frequency surface wave radar (HFSWR) platform produces six degrees of freedom (DOF) motion at sea, which affects the performance of radar target detection and remote sensing of ocean surface dynamics parameters. Motion compensation can mitigate the effect of six-DOF motion, but motion parameters (including amplitude and angular frequency) need to be known. Motion parameters obtained by using high precision sensors are affected by the precision error and time delay, thus affecting the effect of motion compensation. To obtain the motion parameters accurately and in real time, a method of identifying the motion parameters by using an artificially transmitted reference radio frequency (RF) signal generated at the shore is proposed. Based on the results of the parameter identification, the reference RF signal and the first-order radar cross-sections (RCSs) modulated by six-DOF motion of the shipborne HFSWR platform can be compensated. The identification of angular frequency is divided into two steps: (1) Preliminary identification results are obtained by using the reference RF signal; (2) the pattern search method is used to further improve the identification accuracy of angular frequency. The amplitude of translation (including surge and sway) can be identified accurately through the reference RF signal. Due to the small amplitude of rotation (including roll, pitch, and yaw), it needs to be identified by the reference RF signal and pattern search method. After identifying the motion parameters, division in the time domain is used for motion compensation. Through the simulation results, both translation and rotation have good motion compensation effects. In addition, the method of using high precision sensors to obtain motion parameters and compensation is compared with the method in this paper, the simulation results of motion compensation show that the latter is better.

9 September 2025 in Energy Conversion and Management
Verified
Journal Article
Closed access
MHMeng Han
Meng Han
FCFeifei Cao
Feifei Cao
HSHongda Shi
Hongda Shi
MLMing Li
Ming Li
LCLi Chen
Li Chen
BLBing Liu
Bing Liu