A5100413914- Advanced SAR Imaging Techniques
- Radar Systems and Signal Processing
- Sparse and Compressive Sensing Techniques
- Orbital Angular Momentum in Optics
- Microwave Imaging and Scattering Analysis
- Optical Systems and Laser Technology
- Radio Astronomy Observations and Technology
- Optical measurement and interference techniques
- Simulation and Modeling Applications
- Geophysical Methods and Applications
- Space Satellite Systems and Control
- Underwater Acoustics Research
- Antenna Design and Optimization
- Inertial Sensor and Navigation
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Industrial Technology and Control Systems
- 2D Materials and Applications
- Medical Imaging and Analysis
- Advanced Optical Sensing Technologies
- Magnetic Bearings and Levitation Dynamics
- Radio Wave Propagation Studies
- Image Retrieval and Classification Techniques
- Advanced Measurement and Detection Methods
- Photoacoustic and Ultrasonic Imaging
- Robotics and Sensor-Based Localization
Xidian University
2021-2025
Chinese People's Armed Police Force Engineering University
2022-2024
Sun Yat-sen University
2023-2024
Zhejiang University
2024
Xi’an University
2019-2024
South China Institute of Collaborative Innovation
2016-2024
Anhui Xinhua University
2023
Guangzhou Xinhua University
2023
CRRC (China)
2023
Guizhou University of Finance and Economics
2023
Radar target imaging can provide important information for monitoring and recognition. In order to reduce the data amount save radar resources, methods based on compressed sensing (CS) have received extensive attention. these methods, measurement matrix will directly affect quality down-sampling rate. However, most of existing research works optimization did not take into account full use characteristic internal consistency between structure sampling process, which makes it difficult obtain...
In multi-function phased array radar (MFPAR) systems, time and energy resources are allocated for different tasks so that the can perform various missions simultaneously. An effective scheduling algorithm is crucial to optimizing overall performance of MFPAR. There existing adaptive resource methods allocation resources, but none them consider mission imaging, a very important task. this paper, an ISAR-imaging-considered task proposed. Based on sparse-aperture ISAR Compressive Sensing (CS)...
The vortex electromagnetic (EM) wave carrying orbital angular momentum (OAM) has attracted much attention in radar applications. Aimed at the moving target detection application of EM waves, Doppler effect and micro-Doppler (m-D) effect, both including linear shift shift, are investigated. theoretical analyses demonstrate that m-D vortex-EM-wave-based significantly more complicated than those traditional non-vortex-EM-wave-based radar, can provide additional features for identification...
Abstract Flexible photodetectors with ultra‐broadband sensitivities, fast response, and high responsivity are crucial for wearable applications. Recently, van der Waals (vdW) Weyl semimetals have gained much attention due to their unique electronic band structure, making them an ideal material platform developing broadband from ultraviolet (UV) the terahertz (THz) regime. However, large‐area synthesis of vdW on a flexible substrate is still challenge, limiting application in devices. In this...
Inverse synthetic aperture radar sparse imaging based on compressive sensing has been widely researched. The measurement matrix significantly affects the performance of target imaging. In this letter, focus kind signals that consist several subpulses with stepped frequency, a optimization method genetic algorithm (GA), is proposed. actual physical observation process considered and characteristics are utilized to optimize matrix. Then, expected results can be obtained minimum data using...
Nonlinear manifold learning algorithms, mainly isometric feature mapping (Isomap) and local linear embedding (LLE), determine the low-dimensional of original high dimensional data by finding geometric distances between samples. Researchers in remote sensing community have successfully applied Isomap to hyperspectral extract useful information. Although results are promising, computational requirements search process exhorbitant. Landmark-Isomap, which utilizes randomly selected sample points...
The discovery of ferromagnetism in van der Waals (vdW) materials has enriched the understanding two-dimensional (2D) magnetic orders and opened new avenues for fundamental physics research next generation spintronics. However, achieving ferromagnetic order at room temperature, along with strong perpendicular anisotropy, remains a significant challenge. In this work, we report wafer-scale growth vdW ferromagnet Fe
Reconstruction of neuronal morphology from images involves mainly the extraction skeleton points. It is an indispensable step in quantitative analysis neurons. Due to complex neurons, many widely used tracing methods have difficulties accurately acquiring points near branch or structures with tortuosity. Here, we propose two models solve these problems. One based on L1-norm minimization model, which can better identify tortuous structure, namely, a local structure large curvature points;...
For radar imaging of multiple targets in different beams, it is necessary for the network to coordinate task among various radars achieve best multi-target performance under limited system resources. This paper proposes a allocation optimization method inverse synthetic aperture (ISAR) targets. The resolution an important indicator quality. Therefore, relationship between and time analyzed at first. Thereafter, problem converted into resource network. Combining with sparse ISAR algorithm,...
In addition to traditional linear Doppler shift, the angular shift in vortex electromagnetic wave (VEMW) radar systems carrying orbital momentum (OAM) can provide more accurate target identification micro-motion parameters, especially detailed features perpendicular line-of-sight (LOS) direction. this paper, a feature extraction method for spinning with multiple scattering points based on VEMW is proposed. First, multi-scattering-point detection model using established, and mathematical...
Range instantaneous Doppler (RID) methods show superior advantages in imaging performance over range-Doppler (RD) algorithms for maneuvering targets. However, traditional RID are susceptible to noise and sparse aperture (SA), which makes the resolution of results low quality degraded. To improve performance, we propose an high-resolution (HR) framework targets, a hybrid transformer-based HR network (HTHRNet) is introduced into method. HTHRNet trained map low-resolution (LR) time–frequency...
The advantages of phased-MIMO technique have been utilized for multi-target imaging in the first part this paper, and better performance has shown compared with traditional phased-array radar MIMO imaging. For imaging, limited resources should be allocated different targets to achieve maximal radar. By establishing solving a resource allocation optimization model, an adaptive strategy based on is proposed. With method, efficiency can improved significantly. effectiveness proposed method...
The vortex electromagnetic (EM) wave radar has the potential to obtain more accurate micro-motion parameters for target recognition. However, with existing algorithms of parameter extraction it is difficult real rotation radius and tilt angle a rotational in presence multiple scattering points beam. A algorithm rotating targets based on EM proposed this article. angular Doppler obtained from dual-mode echoes. time interval between maximum minimum frequency derived. relationship shown. By...
Since the radar echo of space target satisfies sparseness, compressed sensing (CS) theory can be used to reconstruct information with data much lower than Nyquist sampling rate. For vortex electromagnetic wave (VEMW) radar, since azimuth also use CS significantly reduce requirement resolution on amount mode data. Based above analysis, this paper proposes a CS-based VEMW imaging sequence optimization method. Firstly, model is deduced, and beam steering method performed adjust direction...
Radar imaging provides the shape structure information for target recognition. In this paper, a multi-target radar method based on emerging phased-MIMO (multiple-input multiple-output) technique is proposed. Each single-element transmit antenna in traditional MIMO system replaced by array (TA), which operates mode. mode, each TA divided into several sub-arrays operating phased-array and transmitted waveform sub-array orthogonal to other. The steer different beams targets' directions with...
A high-resolution three-dimensional (3D) image reconstruction method for a spinning target is proposed in this paper and the anisotropy overcome by fusing different observation information acquired from radar network. The will reconstruct 3D scattering distribution, mapping of reconstructed onto imaging plane identical to two-dimensional (2D) result. At first, range compression inverse radon transform employed produce 2D target. In addition, process analyzed formulas which are map point...
This paper presents the design and fabrication of high-efficiency GaN/AIGaN MMICs for X-band frequencies (8-12 GHz) on 6-inchs Si-SiC substrate. three-stage MMIC PA is designed realized in microstrip technology using reactive matching method. The measurement results this achieves a PAE higher than 33% an output power 42 dBm CW-mode operation between 8 12 GHz. In 10-12 GHz frequency range, obtains 37%, corresponding 16-22W, associated gain 17 dB. total size chip 7.5 mm <sup...
Compressed Sensing (CS) theory has been widely used in radar signal processing field, and the reconstruction algorithm is key to whether original can be reconstructed from limited observations. However, existing algorithms either don't consider remove noise reconstruction, or need iterative estimation of variance during processing, which will lead poor anti-noise performance large computation load. In this paper, a cognitive signals based on compressed sensing proposed. method, estimated by...
Radar imaging can provide important information of target for recognition. However, due to the limited azimuth resolution, it is difficult improve quality existing technology based on uniform circular array (UCA), Bessel function modulation in frequency domain echo received by UCA. A resolution-improved method antenna (UCA) proposed. The time–frequency dual relationship between vortex electromagnetic and UCA deduced; this basis, compensation constructed realize high-resolution target....
Vortex electromagnetic (EM) wave radar can obtain more accurate rotation parameters for target classification and recognition. However, the existing parameter extraction methods are difficult to acceleration initial phase of composite moving in case multiple scattering points. In this paper, estimation error accelerated motion features a situation with numerous points is examined first time, along method extracting based on vortex radar. Firstly, relationship between characteristics non...