Article
Engineering, Electrical & Electronic
Can Cui, Wen Tao Li, Xiu Tiao Ye, Yong Qiang Hei, Paolo Rocca, Xiao Wei Shi
Summary: In this article, a novel multibranch encoder-decoder-based artificial neural network (ANN) framework is proposed for synthesizing different radiation patterns. By using different encoder-decoder branches to synthesize different radiation patterns, multiple mask-constrained radiation patterns can be achieved, and common element amplitudes and positions with minimum inter-element spacing control can be obtained, allowing for switching between different radiation patterns through phase-only control. Furthermore, the proposed method considers both ideal synthesis and mutual coupling effects.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Chemistry, Multidisciplinary
En-Yeal Yim, Doyoung Jang, Chang-Hyun Lee, Hosung Choo
Summary: This paper proposes an S/X-band single-layer shared-aperture array antenna for the multifunction radars of military ships. The proposed antenna consists of one S-band element and four X-band elements. The antenna is designed in a symmetrical structure, which can be flexibly extended to a full array configuration. Antenna performances are measured in a full anechoic chamber to verify feasibility, and the results show promising bandwidths and array gain.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Jianhua Yang, Peng Yang, Feng Yange, Zhiyu Xing
Summary: A hybrid methodology for synthesizing nonuniformly spaced and excited linear arrays is proposed. The method combines a modified genetic algorithm (LCGA) with convex programming (CP) to jointly optimize the position and excitation variables of the array, resulting in high-quality solutions.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Computer Science, Information Systems
Brad R. Jackson
Summary: This paper investigates the direction of arrival (DoA) estimation using adaptive arrays with RPRA elements, achieving unambiguous estimates over all incident angles while reducing the number of antennas. Practical design at 6 GHz has shown to meet or exceed theoretical performance, demonstrating the feasibility of the technique.
Article
Astronomy & Astrophysics
Gerald Pacaba Arada, Yue Ivan Wu, Kainam Thomas Wong, Wai-Yip Tam, Salman Khan, Caleb J. Fulton
Summary: This paper presents a new modeling approach to describe the electromagnetic mutual impedance between a pair of crossed dipoles whose relative orientation is not perpendicular. The proposed approach provides simple models parameterized explicitly by the dipoles' skew angle, separation, and common length. The usefulness of these models is illustrated using direction finding as an example.
Article
Engineering, Electrical & Electronic
Di Zhang, Yikai Chen, Shiwen Yang
Summary: In this article, a self-decoupling method for antenna arrays is proposed by utilizing the high-order characteristic modes of the antenna elements. Mathematical formulas for coupling energy calculation are developed and the coupling modes are identified using CM analysis. An effective loading technique is proposed to enhance the modal significances of the decoupling modes, resulting in improved port isolations. The decoupling structure can be directly introduced into antenna elements without affecting the radiation performance.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Engineering, Electrical & Electronic
Ziyu Guo, Xiaodong Wang, Xiaoyang Zeng
Summary: A hybrid antenna array solution utilizing unequal-sized subarrays is proposed for achieving high beamforming gain in millimeter-wave/terahertz communication systems. The proposed method overcomes ambiguity and improves beam scanning efficiency through a three-stage beam scanning strategy, resulting in higher DoA estimation accuracy and robustness against multi-path interference.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Bin Yuan, Qing Du, Yang Yuan, Zhongjun Yu
Summary: This paper proposes a broadband substrate integrated cavity (SIC) antenna array based on high-order mode for low-temperature cofired ceramic (LTCC) integrated systems in W-band. The use of a large SIC in high-order mode enhances the gain of the antenna element and simplifies the fabrication process. The addition of parasitic patches on the high-order mode SIC removes the reverse E-field in the open aperture, resulting in high-gain broadside radiation.
IET MICROWAVES ANTENNAS & PROPAGATION
(2023)
Article
Engineering, Electrical & Electronic
Ya Fei Wu, Yu Jian Cheng, Yi Chen Zhong, Hai Ning Yang
Summary: The paper introduces a method for generating a transverse linearly polarized Bessel beam using a substrate integrated waveguide (SIW) slot array antenna, achieving the desired phase and amplitude distribution. By modulating the offset of the slots and metalized vias, the desired beam can be generated.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Engineering, Aerospace
Kaijie Xu, Yinghui Quan, Bowen Bie, Mengdao Xing, Weike Nie, Hanyu E
Summary: An augmented subspace-based algorithm is proposed for detecting the direction of arrival of signals. The method utilizes virtual transformation and optimization techniques to improve the accuracy and efficiency of DOA detection. Simulation results show significant improvements, especially for low signal-to-noise ratio thresholds.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Ke Wang, Jianxin Yi, Feng Cheng, YunHua Rao, Xianrong Wan
Summary: This letter proposes a calibration method for the uniform circular array (UCA) to jointly estimate array errors and antenna element patterns. The simulation and field experiments demonstrated the effectiveness of the proposed method.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2021)
Article
Computer Science, Information Systems
Doojin Lee, Alexander B. Yakovlev
Summary: A numerical study was conducted on 1D and 2D closely spaced antenna arrays of microstrip dipole antennas covered by a metasurface to properly cloak and decouple the arrays. It was demonstrated that by covering the dipole antenna elements with an elliptically shaped metasurface, the strongly coupled arrays were effectively decoupled, operating independently with their original radiation characteristics.
Article
Engineering, Electrical & Electronic
Liyang Chen, Yanhui Liu, Shiwen Yang, Jun Hu, Y. Jay Guo
Summary: This work extends the alternating projection approach (APA) to the synthesis of wideband frequency-invariant (FI) beam patterns for linear nonuniformly spaced arrays (NUSAs). Unlike the conventional APA, the generalized APA aims to find finite-impulse response (FIR) filter coefficients for each antenna element to achieve the desired wideband FI pattern by providing the required wideband frequency-dependent excitation. Two modification techniques, mainlobe FI modification and wideband sidelobe control, are introduced in each iteration to update the FI pattern performance. Several examples are conducted to verify the effectiveness and advantages of the proposed generalized APA in synthesizing wideband FI beam patterns for NUSAs in different applications.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Review
Computer Science, Information Systems
Ibrahim Aboumahmoud, Ali Muqaibel, Mohammad Alhassoun, Saleh Alawsh
Summary: Two-dimensional sparse arrays play a crucial role in localization applications, providing superior direction-of-arrival estimation performance with limited sensors. Research efforts in designing 2D sparse arrays have increased, but lack coordination, resulting in repetitions and conflicting claims. This paper establishes a model for 2D-DoA estimation, consolidates performance metrics, and categorizes existing works, aiming to address fundamental problems and discuss solutions for improving estimation performance.
Article
Computer Science, Information Systems
Deok Kyu Kong, Daewoong Woo, Jaesik Kim, Young Joong Yoon
Summary: A sidelobe recognition method applicable to a wideband uniform circular array is proposed to reduce errors in the sidelobe region while maintaining performance in the main lobe region. The method is validated through experimentation, confirming a significant improvement in error rate compared to existing methods.
Article
Computer Science, Artificial Intelligence
Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu, Alex Chichung Kot
Summary: This article proposes a novel low-rankness guided group sparse representation (LGSR) model for highly effective image restoration applications. The model utilizes both the sparsity and low-rankness priors of similar patches, resulting in superior results.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Zhiyuan Zha, Bihan Wen, Xin Yuan, Saiprasad Ravishankar, Jiantao Zhou, Ce Zhu
Summary: The compressive sensing (CS) scheme enables accurate image reconstruction using fewer measurements than suggested by the Nyquist-Shannon sampling theorem, leading to significant attention in computational imaging. While classic CS schemes use sparsity through analytical transforms or bases, learning-based approaches have gained popularity by effectively modeling image structures through sparse representations or deep neural networks. Advanced CS schemes further incorporate nonlocal image modeling by jointly processing groups of similar or highly correlated patches. More recent learning-based CS schemes utilize nonlocal structured sparsity priors through group sparse (and related) representation and/or low-rank modeling, showing promising performance in various computational imaging and image processing applications.
IEEE SIGNAL PROCESSING MAGAZINE
(2023)
Article
Optics
Mu Qiao, Xin Yuan
Summary: In this letter, a specifically designed coded aperture compressive temporal imaging (CACTI) system using complementary codes instead of random ones and an untrained neural network-based reconstruction algorithm is presented. Experimental and simulation tests show that this co-design approach produces superior image quality compared to other CACTI schemes. Additionally, a dual-prism design in the optical system improves light efficiency by approximately four times.
Article
Engineering, Aerospace
Junlong Chen, Kainam Thomas Wong, Zakayo Ndiku Morris
Summary: This article analyzes a 2-D planar configuration of three colocated cardioids oriented azimuthally apart by 120 degrees, and derives the polar/azimuthal direction-finding Cramer-Rao lower bounds in closed forms. The intricate mathematical structures of these bounds are dissected to provide refined insights and simple actionable rules-of-thumb for system engineers to choose appropriate sensor parameters.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Engineering, Aerospace
Hao Yang, Kainam Thomas Wong, Zakayo Ndiku Morris
Summary: This article discusses an array composed of two different directional cardioid sensors, which allows for 2D direction-of-arrival estimation and simplifies signal processing computations. The article will analyze the precision of direction-of-arrival estimation for this combination and provide actionable insights for system engineers.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Engineering, Aerospace
Yazan Youssef, Hasan S. Mir, Lutfi Albasha, Kainam Thomas Wong
Summary: The recently proposed equivalent transmit beamforming (ETB) scheme effectively forms a beampattern that highlights a specific spatial location in the far field. However, the pioneering ETB method is computationally challenging in time-sensitive scenarios. This article presents a lower complexity scheme for ETB based on convex optimization with reduced degrees of freedom, allowing for simultaneous illumination/suppression of multiple designated spots while maintaining a finer spatial resolution in the beampattern. Numerical simulations are conducted to verify the efficacy of the proposed approach.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Zongliang Wu, Chengshuai Yang, Xiongfei Su, Xin Yuan
Summary: In this paper, an online deep optimization algorithm is proposed for video snapshot compressive imaging, which has better adaptability and performance. Furthermore, a deep demosaicing prior is introduced to address the challenge of color video imaging.
INTERNATIONAL JOURNAL OF COMPUTER VISION
(2023)
Article
Physics, Applied
Ting Luo, Lishun Wang, Xin Yuan
Summary: This paper reports on snapshot compressive spectral imaging using a grating and coded aperture. A vision-transformer-based deep learning algorithm is developed to achieve high-quality reconstruction. Experimental results demonstrate the reconstruction of over 190 spectral bands from a single measurement in the range of 485-657 nm, with a spectral accuracy of about 2 nm and a spectral resolution of up to 1.5 nm.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2023)
Article
Computer Science, Software Engineering
X. Su, Y. Hong, J. Ye, F. Xu, X. Yuan
Summary: Non-line-of-sight (NLOS) imaging technology has rapidly developed in recent years, enabling the reconstruction of hidden objects through analyzing diffuse reflection of relay surfaces. To address the limitations in handling multiple spatial-temporal resolution and multi-scene images, a novel end-to-end Multi-scale Iterative Model-guided Unfolding (MIMU) method is proposed, which shows superior performance and flexibility. The lack of real training data is overcome by training the method in simulation. Simulation and real-data experiments demonstrate that the proposed method achieves better reconstruction results in terms of quality and quantity compared to existing methods.
COMPUTER GRAPHICS FORUM
(2023)
Article
Computer Science, Artificial Intelligence
Tao Huang, Xin Yuan, Weisheng Dong, Jinjian Wu, Guangming Shi
Summary: This paper proposes a novel image reconstruction method based on the Maximum a Posterior (MAP) estimation framework using learned Gaussian Scale Mixture (GSM) prior. Unlike existing unfolding methods, we describe images by GSM models with learned means and variances through a deep network. Furthermore, an enhanced variant based on the Swin Transformer is developed to learn the long-range dependencies of images. Extensive simulation and real data experimental results demonstrate that the proposed method outperforms existing state-of-the-art methods.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Ziyi Meng, Xin Yuan, Shirin Jalali
Summary: Snapshot compressive imaging (SCI) systems aim to capture high-dimensional images using 2D detectors. This paper proposes a recovery algorithm called GAP-net, which utilizes deep unrolling and trained convolutional neural networks (CNNs) to improve the performance of SCI. The algorithm demonstrates competitive performance in video SCI and spectral SCI problems, and it is also flexible and can be applied in different systems.
INTERNATIONAL JOURNAL OF COMPUTER VISION
(2023)
Article
Optics
Ping Wang, Lishun Wang, Mu Qiao, Xin Yuan
Summary: Coded aperture compressive temporal imaging (CACTI) captures a sequence of video frames using a 2D sensor in a single shot, increasing the frame rate while reducing data throughput requirements. This Letter presents an efficient CACTI system that addresses challenges faced by previous systems and achieves significant improvements in spatial resolution and dynamic range through precise pixel mapping and grayscale masks, along with accurate reconstruction using a hybrid convolutional-Transformer deep network.
Article
Optics
Yufei Dou, Miao Cao, Xiaodong Wang, Xing Liu, Xin Yuan
Summary: We introduce a coded aperture temporal compressive digital holographic microscopy (CATCHY) system that combines snapshot compressive imaging (SCI) with digital holographic microscopy to capture high-speed high-resolution samples. The system utilizes a two-dimensional detector to sample spatiotemporal data in a compressive manner, and a deep learning-based video SCI reconstruction algorithm to reconstruct the desired data cube. Experimental results show the potential of the CATCHY system in visualizing the 3D dynamic process of micro-nanostructures and imaging biological samples with high spatial and temporal resolution.
Article
Computer Science, Artificial Intelligence
Sidi Lu, Xin Yuan, Aggelos K. Katsaggelos, Weisong Shi
Summary: In this work, reinforcement learning is applied to video compressive sensing to adapt the compression ratio. The gap in previous studies of how to adapt B in the video SCI system is filled using RL. An RL model and various convolutional neural networks are employed to achieve adaptive sensing of video SCI systems. Additionally, the performance of an object detection network is utilized for RL-based adaptive video compressive sensing. This proposed adaptive SCI method can be implemented in low cost and real time, and takes the technology one step further towards real applications of video SCI.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Lishun Wang, Miao Cao, Yong Zhong, Xin Yuan
Summary: Video snapshot compressive imaging (SCI) is a computational imaging technique that captures multiple video frames with a single measurement. It utilizes masks to modulate high-speed frames, which are then summed to a single measurement captured by a low-speed 2D sensor. This article focuses on the reconstruction algorithm for video SCI and introduces a Spatial-Temporal transFormer (STFormer) that exploits correlation in spatial and temporal domains. The STFormer network, consisting of token generation block, video reconstruction block, and multiple STFormer blocks, achieves state-of-the-art performance in both simulated and real data.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)