- Advanced SAR Imaging Techniques
- Radar Systems and Signal Processing
- Indoor and Outdoor Localization Technologies
- Geometry and complex manifolds
- Speech and Audio Processing
- Infrared Target Detection Methodologies
- Wireless Signal Modulation Classification
- High-Temperature Coating Behaviors
- Neural Networks and Applications
- Spacecraft and Cryogenic Technologies
- Video Surveillance and Tracking Methods
- Advanced Algorithms and Applications
- Wind Energy Research and Development
- Wind and Air Flow Studies
- Advanced Mathematical Physics Problems
- Rocket and propulsion systems research
- Medical Imaging Techniques and Applications
- CCD and CMOS Imaging Sensors
- Advanced Topics in Algebra
- Direction-of-Arrival Estimation Techniques
- Geometric Analysis and Curvature Flows
- Advanced Operator Algebra Research
- Wireless Communication Networks Research
- Medical Image Segmentation Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
Chongqing University of Posts and Telecommunications
2016-2024
Nanjing University of Posts and Telecommunications
2024
Inner Mongolia University of Technology
2016-2023
Shanghai Institute of Technical Physics
2023
Chinese Academy of Sciences
2023
University of Chinese Academy of Sciences
2023
Beijing Institute of Technology
2012-2022
Lanzhou Jiaotong University
2022
Ningbo University
2022
Aero Engine Corporation of China (China)
2022
The aim of this paper is to present a new indoor localization approach by employing the Angle-of-arrival (AOA) and Received Signal Strength (RSS) measurements in Wi-Fi network. To achieve goal, we first collect Channel State Information (CSI) using commodity devices with our designed three antennas estimate AOA signal. Second, propose direct path identification algorithm obtain signal for sake reducing interference multipath effect on estimation. Third, construct objective function solve...
As the use of radar and jammers increases, a device is likely to face interference from or other devices. Traditional phase-coded pulse compression devices are widely used, but these tools struggle overcome jamming mutual interference. To solve this problem, we propose novel chaotic-encrypted signal based on identity (ID). Each has its own ID, which encrypted with different chaotic binary sequences in every period. The ambiguity function calculated for coded thumbtack-shaped, indicating that...
This paper considers the problem of target and jamming recognition for pulse Doppler radar fuze (PDRF). To solve problem, matched filter outputs PDRF under action are analyzed. Then, frequency entropy peak-to-peak ratio extracted from output PDRF, time-frequency joint feature is constructed. Based on feature, naive Bayesian classifier (NBC) with minimal risk established recognition. improve adaptability proposed method in complex environments, an online update process that adaptively...
The false target caused by interference obfuscates the real detection of radio frequency proximity sensor (RFPS). In this article, an adaptive false-target recognition method is proposed to classify echo and target. Two strategies are designed for targets different interference. first strategy, each RFPS assigned identity (ID) with chaotic encryption. For a better performance against barrage interference, joint features range profiles Fourier spectrum extracted in second strategy. Naïve...
Abstract This work presents a novel multitask learning approach featuring dual convolutional neural network (CNN) system for determining the elastic constants of orthotropic rolled steel sheets. In proposed model, resonance frequency spectra from impulse excitation technique are converted into 2D image data. The first CNN focuses on detecting and predicting missing peak intensities, while second utilizes features entire spectrum to predict constants, including E 11 , 22 G 12 . input include...
As compared with traditional ISAR imaging methods, the compressive sensing (CS)-based methods can obtain high-quality images using much less under-sampled data. However, availability or appropriateness of sparse representation target scene and relatively low computational efficiency image reconstruction algorithms limit performance application CS-based methods. In recent years, deep learning technology has been applied in many fields achieved outstanding classification, etc. DL implements...
王 林 1 , 丁坤英 2 林小娉 1,3 李 泽 3 郑润国 杨连威 (1.东北大学 材料科学与工程学院, 沈阳 110819; 2. 中国民航大学 理学院, 天津 300300; 3. 东北大学秦皇岛分 校 资源与材料学院, 秦皇岛 066004) 摘 要: 采用 PASCAN-64 型水浸超声设备并配合扫描电镜对 8wt %Y O -ZrO (8YSZ)双层热障涂层热震过程中内部 组织结构演变进行了检测。 结果表明, 当超声波从垂直陶瓷层方向入射至粘结层反射所获得的回波信号影像主要反 映了陶瓷层组织结构演变, 从垂直基底方向入射至粘接层/陶瓷层界面处反射所获得的回波信号影像主要反映了热 生长氧化物层组织结构演变, 从垂直陶瓷层方向透射整个试片所获得的回波信号影像综合反映了整个涂层组织结 构演变。当陶瓷层中均匀分布着孔隙率<11%、最大横向尺寸<50 μm 的孔隙以及热生长氧化物层主要为致密的 α-Al
In active sensing systems, unimodular sequences with low autocorrelation sidelobes are widely adopted as modulation to improve the distance resolution and antijamming performance. this paper, in order meet requirements of specific practical engineering applications such suppressing certain correlation coefficients finite phase, we propose a new algorithm design both continuous phase periodic weighted integrated sidelobe level (WISL). With help transformation matrix, an decomposes <mml:math...
In this paper, we prove that the solution of Landau-Lifshitz flow $u(t, x)$ from $\mathbb{H}^2$ to converges some harmonic map as $t\to∞$. The main idea is construct Tao's caloric gauge in case where nontrivial maps exist and use it convergence maps. On one side, since our stationary solutions are asymptotically stable under heat flow, Tao provides a natural geometric linearization. other although there infinite numbers $\Bbb H^2$ H^2$, initiated for any given $t>0$ same $u(0, x)$. two...
Vibration suppression has become one of the major issues for modern transportation. The active vibration control smart structures received a lot attention in field suppression. A system comprising piezoelectric materials, signal conditioning circuits and embedded hardware is proposed this paper. featured with self-sensing ability, less components low-power consumption. robust controller designed system. validating experiments show that able to efficiently suppress modal vibrations.
With the development of space technology, spacecraft are serving more and exploration missions. The cameras on become an important data source for monitoring motion status spacecraft, as well landing takeoff processes at extraterrestrial bodies. However, less sensitive to rapid changes in external light environment cannot quickly adapt rapidly changing scenes, resulting slightly poorer imaging quality default camera parameter settings. In order obtain a better on-star effect, automatic...
At the absence of high-frequency visual observation, low-resolution (LR) targets (e.g., objects, human body keypoints) are intrinsically difficult to detect in unconstrained images. This challenge can be further deteriorated by typical downsampling operations pooling, stride) existing deep networks CNNs). To tackle this challenge, work we introduce a generic High-Frequency Information Preservation (HFIP) block as replacement operations. It is composed two key components: (1) decoupled...
In the absence of high-frequency visual observation, low-resolution (LR) targets (e.g., objects, human body keypoints) are intrinsically difficult to detect in unconstrained images. This challenge can be further exasperated by typical downsampling operations pooling, stride) existing deep networks CNNs). To tackle this challenge, work, we introduce a generic, High-Frequency Information Preservation (HFIP) block as replacement for operations. It is composed two key components: (1) decoupled...
Conventional parameter estimation methods for pseudo-random binary code-linear frequency modulation (PRBC-LFM) signals require prior knowledge, are computationally complex, and exhibit poor performance at low signal-to-noise ratios (SNRs). To overcome these problems, a blind method based on Duffing oscillator array is proposed. A new relationship formula among the state of oscillator, sequence PRBC-LFM signal, difference between signal periodic driving force derived, providing theoretical...
Bipropellant propulsion system (MON-1MMH) provides motivation for orbit transfer, attitude control and station keeping, is mainly applied GEO satellite. Most bipropellant systems of satellite do not have the ability to mixture ratio oxidizer fuel. The primary function bypass system, as an important part helium pressure in propellant tanks order ratio. This paper researches adjustment system. Mathematical model key components a reasonable simulation combining practical work established....