Article
Engineering, Electrical & Electronic
Yapeng Liu, Hongyuan Gao, Menghan Chen, Andreas Jakobsson, Jianhua Cheng
Summary: In this work, a computationally efficient evolutionary algorithm is proposed for estimating the DOA of CD sources corrupted by additive impulsive noise. The proposed method combines IN normalization with ML criteria and solves the resulting cost function using MQBA, reducing computational complexity. The CRB for the DOA estimation problem is also derived. Numerical simulations demonstrate that the proposed algorithm outperforms alternative approaches in terms of robustness and handling coherent signals.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Information Systems
Ye Tian, Shuai Liu, Wei Liu, Hua Chen, Zhiyan Dong
Summary: In this article, a novel vehicle positioning system architecture based on DOA estimation of ID sources utilizing massive MIMO arrays is proposed. The system employs a D1D-CNN for 2-D DOA estimation and utilizes received SNR information for selecting DOA estimates for positioning. Transfer learning and an attention mechanism are also employed for improving the generalization ability and robustness against array perturbations of the system.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Lili Yang, Jie Li, Fangjiong Chen, Yuwei Wei, Fei Ji, Hua Yu
Summary: This paper addresses the localization problem of incoherently distributed near-field sources, utilizing the low-rank structure to estimate the joint angular-range distribution. By formulating a rank minimization problem and applying a specialized method, the proposed solution achieves better parameter estimation performance and faster computation compared to conventional algorithms. Numerical experiments are conducted to demonstrate the effectiveness of the method.
Article
Engineering, Electrical & Electronic
Ye Tian, Xinyu Gao, Wei Liu, Hua Chen, Ming Jin
Summary: In this work, a method based on the generalized array manifold (GAM) is developed to localize mixed coherently distributed (CD) and incoherently distributed (ID) sources. Source enumeration and type classification are achieved by employing the minimum description length (MDL) criterion, the covariance matrix difference technique, and second-order statistics. The method estimates the nominal direction of arrival (DOA) of ID sources using the rank-reduction principle and separates CD sources from ID ones using the oblique projection technique. The performance of the proposed method is demonstrated through simulations.
Article
Engineering, Electrical & Electronic
Ye Tian, Yunbai Qin, Zhiyan Dong, He Xu
Summary: This paper proposes a DOA estimation algorithm for massive MIMO systems considering unknown mutual coupling, using an enhanced SCM and STLS technique to achieve DOA and angular spread estimation, while solving the mutual coupling coefficients. The proposed algorithm not only improves DOA estimation performance, but also overcomes deficiencies in a more efficient way, as validated by theoretical analysis and numerical examples.
DIGITAL SIGNAL PROCESSING
(2021)
Article
Engineering, Aerospace
Lili Yang, Jie Li, Fangjiong Chen, Yuwei Wei, Fei Ji, Hua Yu
Summary: This article discusses the estimation of joint angular-frequency distribution for incoherently distributed wideband sources. By exploiting the low-rank structure of the JAFD matrix, a rank minimization problem is formulated to estimate the JAFD. An efficient algorithm is developed and off-grid estimators are applied for estimating key parameters, showing better precision and faster computation compared to traditional methods.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Mohsen Asghari, Mohammad Zareinejad, Seyed Mehdi Rezaei, Hamidreza Amindavar
Summary: A novel ECF-based ESPRIT approach is proposed in this study for localizing distributed sources in the presence of impulsive signals and noises. The method utilizes the simplicity, information preservation, analytic form, and high precision of characteristic functions to build an accurate and robust technique. By modeling the array characteristic function using the a-stable distribution, a covariance matrix is generated and directly utilized in the ESPRIT algorithm. Monte-Carlo simulation results demonstrate that the suggested method outperforms existing methods in terms of resolution probability and estimation error. Therefore, this method is strongly recommended for localizing distributed sources in environments with strong impulses.
PHYSICAL COMMUNICATION
(2023)
Article
Automation & Control Systems
Tao Wu, Zhenghong Deng, Xiaoxiang Hu, Ao Li, Jiwei Xu
Summary: This paper proposes an importance sampling maximum likelihood (ISML) estimator for direction-of-arrival (DOA) of incoherently distributed (ID) sources. The algorithm is able to achieve better performance compared to existing methods, especially in scenarios with small source intervals and low signal to noise ratio (SNR).
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Min Kim, Seong-Hyeon Lee, In-Oh Choi, Kyung-Tae Kim
Summary: This paper proposes a new scheme to estimate the direction-of-arrival (DOA) of multiple wideband chirp signals. The proposed scheme involves preprocessing the mixed signal using independent component analysis, transforming the wideband chirp signals into narrowband signals through matched filtering, and estimating the final DOAs using the conventional subspace-based method. Extensive experiments validate that the proposed scheme provides accurate results in terms of root-mean-squared error (RMSE) and has the lowest computational complexity compared to previous methods.
Article
Engineering, Electrical & Electronic
He Li, Yun Bo Li, Wang-Sheng Hu, Sheng-Jie Huang, Jia-Lin Shen, Shi Yu Wang, Guo-Dong Liu, Tie Jun Cui
Summary: We propose a novel approach for joint detections of frequency and direction of arrival using a single sensor and programmable metasurface. By integrating two p-i-n diodes with opposite directions, the transmission performance in a specific bandwidth range is achieved. The programmable metasurface is used to generate random receiving patterns and the modified algorithm of estimating signal parameters is applied for frequency and direction detection.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Electrical & Electronic
Xinyu Fang, Mengmeng Li, Juzheng Han, Davide Ramaccia, Alessandro Toscano, Filiberto Bilotti, Dazhi Ding
Summary: In this study, a metasurface-based direction of arrival (DoA) estimation method is proposed, which utilizes the properties of space-time modulated reflective metasurfaces. The method simplifies the computation and hardware complexity, while ensuring accurate estimation.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Engineering, Electrical & Electronic
Fulai Liu, Kai Tang, Xiaodan Chen, Ruiyan Du, Dongbao Qin
Summary: This paper presents an effective angular parameter estimation method named MST-ID algorithm based on the manifold separation technique (MST) for incoherently distributed sources. The proposed method establishes a mathematical model using the first-order Taylor expansion of the steering vector to decouple the nominal direction of arrival (DOA) from the angular spread. Then, the decoupled steering vector is divided into two sub-steering vectors, and the nominal DOA is estimated using the shift invariant structure between them. The MST is used to separate the antenna array structure from the nominal DOA, facilitating the acquisition of the signal covariance matrix and the estimation of the angular spread using a spectrum search function. The presented method improves the accuracy of angular parameter estimation and is suitable for arbitrary line array structures, as confirmed by theoretical analysis and simulation results.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Chemistry, Analytical
Chunxi Liu, Dongliang Peng, Zhikun Chen, Yong Wu, Binan Wang
Summary: The reconfigurable antenna array direction finding system allows for dynamic loading of antennas using microwave switches to conduct fast DOA searches, addressing issues such as signal crosstalk in traditional systems. An improved TD search algorithm enhances system efficiency, with the system's effectiveness proven through real experiments and the advantages verified through detailed simulations.
Article
Geochemistry & Geophysics
Leonardo Carrer, Sanchari Thakur, Luca Sericati, Lorenzo Bruzzone
Summary: This article assesses the capability of distributed radar sounding to discriminate clutter from subsurface returns by exploiting direction of arrival (DOA) estimation techniques. The capability is evaluated by outlining an approach for designing and evaluating the distributed radar sounder performance. Radar simulations are conducted to confirm the improvement of clutter discrimination through DOA estimation.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Chemistry, Analytical
Jacob Compaleo, Inder J. Gupta
Summary: This study introduces a new technique for high-resolution direction of arrival estimation, showing through Monte Carlo simulations that it achieves accurate estimations and outperforms existing algorithms in certain scenarios.
Article
Automation & Control Systems
Ye Liu, Xiaoyuan Ma, Lei Shu, Gerhard Petrus Hancke, Adnan M. Abu-Mahfouz
Summary: The previous industrial revolutions transformed the agriculture industry from indigenous farming to mechanized farming and recent precision agriculture. Industry 4.0 is expected to reshape the agriculture industry and promote the fourth agricultural revolution. This article discusses the applications and challenges of emerging technologies in the agricultural sector and aims to provide new research opportunities for readers.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Editorial Material
Automation & Control Systems
Lei Shu, Gerhard P. Hancke, Adnan M. Abu-Mahfouz
Summary: The papers in this special section focus on sustainable and intelligent precision agriculture, exploring the industrial revolutions the agricultural industry has experienced and the challenges it currently faces. The ongoing fourth industrial revolution is characterized by a fusion of emerging technologies such as Industry 4.0, Internet of Things, Cloud/Edge Computing, Big Data, Artificial Intelligence, and Blockchain.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Fan Yang, Lei Shu, Yuli Yang, Guangjie Han, Simon Pearson, Kailiang Li
Summary: This article focuses on the constrained SIL deployment problem in a mixed-crop farmland and proposes a hole-aware node deployment method based on the greedy algorithm, which achieves better performance than peer algorithms.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Fan Yang, Lei Shu, Yuli Yang, Ye Liu, Timothy Gordon
Summary: In this study, the weighted deployment problem of solar insecticidal lamps in agricultural Internet of Things is addressed, and a layered deployment method based on greedy algorithm is proposed to optimize the deployment locations through two phases and three design operations for achieving minimum deployment cost and maximum total weight. Simulation results show that the proposed method outperforms three peer algorithms in terms of deployment cost and total weight.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Zhiqiang Huo, Miguel Martinez-Garcia, Yu Zhang, Lei Shu
Summary: Recent advancements in smart sensors and deep learning have facilitated the use of intelligent systems for machine health monitoring and diagnostics. This article proposes a multisensor-based fault diagnosis framework that integrates thermal imaging with vibration measurements, and demonstrates its high diagnostic performance in complex working environments through experiments.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Pengju Si, Zhumu Fu, Lei Shu, Yuli Yang, Kai Huang, Ye Liu
Summary: This paper introduces the use of insecticidal lamps embedded in unmanned aerial vehicles for pest control in agriculture, and the application of Internet of UAVs to extend its usage. The problem of target-barrier coverage is formulated to minimize the number of IL-UAVs needed. A solution is proposed based on the introduction of epsilon-target-barrier coverage.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Chemistry, Analytical
Xuanchen Guo, Lei Shu, Xing Yang, Edmond Nurellari, Kailiang Li, Bangsong Du, Heyang Yao
Summary: A routing algorithm named THECB is proposed in this research to reduce data forwarding traffic of nodes and weaken unpredictable electromagnetic interference in communication. Experiment results show that THECB outperforms the TPGFPlus algorithm under various conditions.
Article
Computer Science, Hardware & Architecture
Jiahui Pei, Hongbin Chen, Lei Shu
Summary: In recent years, Wireless Sensor Networks (WSNs) used in agricultural IoT have improved the output and quality of agricultural products by observing crop data. However, the segmentation of farmland into multiple isolated sub-sensor networks (MISN) presents new challenges for the connectivity of WSNs in agricultural IoT. To address this issue, a new definition of connectivity in MISN is proposed, and algorithms utilizing Unmanned Aerial Vehicles (UAVs) are designed to enhance connectivity while minimizing UAV energy consumption.
Article
Computer Science, Information Systems
Yuanhao Sun, Weimin Ding, Lei Shu, Kailiang Li, Yu Zhang, Zhangbing Zhou, Guangjie Han
Summary: The article evaluates the application of agricultural mobile crowd sensing in data collection schemes, highlighting new opportunities and challenges such as data integrity and quality. A comparison with existing agricultural data collection solutions reveals significant advantages of agricultural mobile crowd sensing in terms of flexibility, data collection, and cost.
IEEE SYSTEMS JOURNAL
(2022)
Editorial Material
Automation & Control Systems
Lei Shu, Gerhard Hancke, Victor S. Sheng, Liangmin Wang
Summary: Nowadays, billions of smart objects are connected to the internet and interact with the cloud. Remote monitoring, control systems, and data analysis are becoming more intelligent with the accumulation of data and crowdsourcing. Computing and storing functions are now executed on edge devices to reduce data transmission and improve efficiency. However, this convenience also brings about issues related to reliability and security, leading to new research opportunities and challenges in intelligent sensing and control.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Li Liu, Guangjie Han, Zhengwei Xu, Jinfang Jiang, Lei Shu, Miguel Martinez-Garcia
Summary: This article proposes an algorithm for continuous object boundary tracking in industrial wireless sensor networks. The algorithm utilizes the collective intelligence and machine learning capability within the sensor nodes. By determining the upper bound of the event region covered by continuous objects and performing a binary tree-based partition, the algorithm achieves boundary tracking. Simulation results show that the algorithm reduces the number of nodes required for boundary tracking by at least 50%.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Review
Chemistry, Analytical
Xiuguo Zou, Wenchao Liu, Zhiqiang Huo, Sunyuan Wang, Zhilong Chen, Chengrui Xin, Yungang Bai, Zhenyu Liang, Yan Gong, Yan Qian, Lei Shu
Summary: Sensors play a significant role in the development of Ag-IoT in agriculture, but sensor failures can lead to incorrect decisions. The development of sensor fault diagnosis technology is crucial for early detection of potential faults and reducing losses caused by sensor failures.
Article
Computer Science, Information Systems
Kai Huang, Lei Shu, Kailiang Li, Yuejie Chen, Yan Zhu, Ravi Valluru
Summary: Photovoltaic Agriculture (PA) combines industry with modern agriculture to reduce competition for limited land resources between electric power and agriculture. However, managing plant protection measures in PA is challenging due to difficulties in monitoring plants grown under photovoltaic panels and applying pesticides using drones. Solar Insecticidal Lamps (SILs) can be used for phytoprotection in PA, but a suitable field location is crucial for maintaining strong wireless communication signals.
Review
Computer Science, Information Systems
Xuying Wang, Lei Shu, Ru Han, Fan Yang, Timothy Gordon, Xiaochan Wang, Hongyu Xu
Summary: This review collected and assessed the research on farmland boundary information extraction, detection algorithms, and influencing factors. It discussed recognition and detection algorithms, technical and natural factors affecting boundary extraction. The development history and existing problems were summarized.
Review
Computer Science, Information Systems
Jun Liu, Lei Shu, Xu Lu, Ye Liu
Summary: In the future, modern agriculture will face significant challenges in increasing production, sustainability, wisdom, and efficiency. With the popularization of 5G and advanced information technologies, such as IoT and AI, smart agriculture is evolving. This paper investigates the research progress of 5G IoT in smart agriculture, presents its development status, and explores its concept, architecture, enabling key technologies, and application value.
