Article
Engineering, Electrical & Electronic
Chao Zhang, Xuefeng Jiang, Yufei Zhao
Summary: This article investigates an instantaneous channel propagation modeling scheme with compressed sensing recovery and electromagnetic interpolation for aeronautical communications systems to reduce the cost of flight experiments. The experimental results show the effectiveness of the proposed method in reducing the number of sampling points.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Telecommunications
Carlos A. Gutierrez, Willie Harrison, Michael Rice, Benjamin Jensen, Kalin Norman, Bryan Redd, Autumn Twitchell, Marco Cardenas-Juarez
Summary: This paper investigates the characteristics of vehicle-to-vehicle communication in mountainous roads through measurement campaigns in Mexico and the US. The results show the distribution and Doppler spectrum of communication channels, with the line-of-sight path playing a significant role but non-line-of-sight paths also contributing to short intervals of communication. These findings provide guidelines for analytical modeling and computer simulation of small-scale vehicle-to-vehicle channels in mountainous environments.
VEHICULAR COMMUNICATIONS
(2023)
Article
Engineering, Aerospace
Farah Arabian, Michael Rice
Summary: This article explores the relationship between an equalizer and a combiner operating on the available polarization states of a received signal in aeronautical mobile telemetry. Comparing two combining approaches for aeronautical telemetry multipath channel, simulations show that postequalizer bit error rate for the two approaches is the same.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Anwen Liao, Zhen Gao, Dongming Wang, Hua Wang, Hao Yin, Derrick Wing Kwan Ng, Mohamed-Slim Alouini
Summary: This paper investigates terahertz Ultra-Massive (UM)-MIMO-based aeronautical communications and proposes an effective channel estimation and tracking scheme to solve the performance degradation problem caused by the unique triple delay-beam-Doppler squint effects of aeronautical terahertz UM-MIMO channels. By utilizing prior-aided iterative algorithms for angle and Doppler shift estimation, and developing a data-aided decision-directed based channel tracking algorithm, the proposed solution effectively mitigates delay-beam squint and Doppler squint, ensuring accurate path delays and channel gains estimation for improved data transmission.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Environmental Sciences
Fei-Yun Wu, Tian Tian, Ben-Xue Su, Yan-Chong Song
Summary: This study proposes a new MFSK underwater acoustic communication system using orthogonal frequency division multiplexing (OFDM) and channel-concatenated coding. The system employs iterative joint decoding with Hadamard structure branch metric to resist multipath interference, and includes frame synchronization and Doppler compensation as important preprocessing steps for the received signal.
Article
Engineering, Electrical & Electronic
Xu Du, Ashutosh Sabharwal
Summary: In this paper, the impact of angle correlation on inter-user channel correlation in massive MIMO systems is studied. Through a combination of measurement and analysis, three key results are obtained: there is a high channel correlation between close-by users; the channel correlation between far-away users can be at least twice higher than in i.i.d. Rayleigh fading channel when there is angle correlation; inter-user angle correlation increases the inter-user channel correlation, while the number and spacing of base-station antennas reduce the channel correlation.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Aerospace
Stephan P. Winter, Andreas Knopp
Summary: This study provides a detailed assessment of radiofrequency interference from terrestrial fixed service to aeronautical earth stations in geostationary satellite orbit networks. It analyzes various factors and develops a stochastic channel model to predict the impact of terrestrial interference. By partitioning the interference into different channel states, interference mitigation measures and system design can be developed based on antenna sizes and flight velocities.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Review
Computer Science, Hardware & Architecture
Selma Yahia, Yassine Meraihi, Amar Ramdane-Cherif, Asma Benmessaoud Gabis, Dalila Acheli, Hongyu Guan
Summary: This paper provides a comprehensive survey of VLC channel modeling techniques, describing the main components and different channel models in various environments, comparing algorithms proposed in each environment, and giving concluding remarks and future research directions for VLC channel models.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Mi Yang, Bo Ai, Ruisi He, Zhangfeng Ma, Hang Mi, Dan Fei, Zhangdui Zhong, Yujian Li, Jing Li
Summary: In this article, channel measurements at 5.9 GHz in street intersection scenarios are conducted to provide data for the characterization and modeling of time-varying vehicular channels. A double-slope path loss model is proposed to accurately reflect the signal propagation loss at intersections. Furthermore, the time-varying spatial characteristics of multipath are extracted and analyzed, and the azimuth and elevation spread of arrival are statistically characterized. The research in this article can enrich the investigation of vehicular channels and enable the analysis and design of vehicular communication systems.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Optics
C. hakan Arslan, Fikadu t. Dagefu, Terrence j. Moore, Michael j. Weisman, Robert j. Drost
Summary: There is an increasing interest in ultraviolet (UV) communications as a means for non-line-of-sight (NLOS) networking using atmospheric scattering. However, there is limited experimental research and validation of the analytical models. This paper presents a flexible experimental system for precise UV channel and communications measurements, demonstrating good agreement with theory and simulation.
Article
Telecommunications
Jiancheng An, Chau Yuen, Chongwen Huang, Merouane Debbah, H. Vincent Poor, Lajos Hanzo
Summary: This tutorial, in its first part, provides an overview of the fundamental concept of holographic multiple-input multiple-output (HMIMO) communications and reviews the recent progress in HMIMO channel modeling. It also presents efficient channel estimation approaches and demonstrates the statistical consistency of the new HMIMO channel model with conventional ones. Numerical results are provided to evaluate the performance of the channel estimators.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Jinbang Fu, Erik J. J. Jorgensen, Prateek Juyal, Alenka Zajic
Summary: This article proposes a ResNet-based feature concatenated neural network model to predict the scenario type and attribute with PDP as the inputs. The model consists of three blocks for feature extraction, scenario prediction, and attribute prediction. Data augmentation is used to expand the measured dataset for training and evaluation. The proposed model performs well on the expanded dataset with almost 100% accuracy, while the MLP-based model shows degradation on attribute prediction.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Electrical & Electronic
Xiaoxu Guo, Zhaobin Xu, Jiacheng Dai, Jia Yang, Xiaojun Jin, Zhonghe Jin
Summary: A low-complexity anti-multipath interference spread spectrum communication system is proposed, which uses fast Fourier transform to capture pseudo-noise code signals and simultaneously detect multipath signals. By calculating the signal-to-noise ratio and using the optimal SNR synthesis method, the SNR of the demodulated signal is improved, reducing the bit error rate.
ELECTRONICS LETTERS
(2023)
Article
Chemistry, Multidisciplinary
Yanping Lu, Liu Liu, Liqin Fu
Summary: This paper investigates the radio propagation characteristics of Massive MIMO through realistic measurements and high-precision parameter estimation algorithm. New methods such as multipath clustering algorithm are proposed to bring deeper insight into the cluster evolution over the antenna array axis. The research results align with the theory of the cluster's visible region and aim to contribute to the radio channel modeling of the 5G Massive MIMO communication system.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Jose Rodriguez-Pineiro, Zeyu Huang, Xuesong Cai, Tomas Dominguez-Bolano, Xuefeng Yin
Summary: This article introduces a geometrical model for the evolution of Multipath Components (MPCs) in the channel with UAV flight, and proposes a novel Geometry-Based Spatial-Consistent MPC Tracking Method (GSTM) based on this model. The research shows that the GSTM can accurately track MPCs and contribute significantly to the understanding of signal propagation mechanisms in A2G environments.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Geochemistry & Geophysics
Hai-Han Sun, Yee Hui Lee, Chongyi Li, Lai Fern Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel
Summary: This study explores the possibility of using multipolarimetric ground-penetrating radar (GPR) data and neural networks to estimate the horizontal orientation angle and the vertical inclination angle of elongated subsurface objects. The proposed multipolarization aggregation and selection network (MASNet) achieves accurate angle estimation in the entire spatial range.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Barry McNicholl, Yee Hui Lee, Abraham G. Campbell, Soumyabrata Dev
Summary: This letter investigates the reliability of European Remote Sensing 5 (ERA5) satellite-based air temperature data. By comparing with land-based data, it is found that the satellite temperature performs better in temperate regions than in tropical regions, indicating the impact of time of year and climate region on the accuracy of satellite data.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Wenhao Luo, Yee Hui Lee, Hai-Han Sun, Genevieve Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel
Summary: This article introduces a data processing framework for retrieving tree roots in heterogeneous soil environments. The framework combines four techniques to extract and restore the features of tree roots, resulting in a reconstructed tree root scenario.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Anik Naha Biswas, Yee Hui Lee, Shilpa Manandhar
Summary: This article proposes a new method for rainfall forecasting based on horizontal tropospheric gradient and atmospheric residual, which achieves better prediction accuracy for long-term rainfall prediction.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Orthopedics
Ming Wang, Yee Han Dave Lee
Summary: The meniscus comma sign is used to describe displaced flap tears of the meniscus, which can be difficult to diagnose intraoperatively. The identification of the meniscus comma sign on consecutive MRI cuts suggests a significant size tear that is repairable. The technique involves lifting and reducing the meniscus flap, followed by repair using all-inside or hybrid meniscus repair techniques.
ARTHROSCOPY TECHNIQUES
(2022)
Article
Orthopedics
Gerard Si Yong Bong, Yee Han Dave Lee
Summary: This case study demonstrates the successful treatment of a 25-year-old female soccer player with BHMT by arthroscopic meniscus repair and ACL reconstruction, showing good long-term outcomes six years post-operatively.
Article
Engineering, Electrical & Electronic
Qiqi Dai, Yee Hui Lee, Hai-Han Sun, Genevieve Ow, Mohamed Lokman Mohd Yusofe, Abdulkadir C. Yucel
Summary: This paper proposes a two-stage deep neural network called DMRF-UNet for reconstructing the permittivity distributions of subsurface objects from GPR B-scans under heterogeneous soil conditions. The proposed network consists of two multi-receptive-field convolutions (MRF-UNet1 and MRF-UNet2) to remove clutters and noises and learn the inverse mapping relationship for accurate reconstruction.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Environmental Sciences
Ding Yu Heh, Yee Hui Lee, Anik Naha Biswas, Liang Mong Koh
Summary: This paper presents a GPS-derived slant water vapor technique for cloud monitoring in Singapore. The normalized slant wet delay (SWD) and slant water vapor (SWV) are introduced, and their suitability for cloud monitoring is demonstrated. The spatial plots of normalized SWV show consistency with cloud formation observed in sky images, and the probability distribution of normalized SWV associated with cloudy and clear sky conditions is analyzed. The time series of normalized SWV is also explored in relation to solar irradiance.
Article
Engineering, Electrical & Electronic
Wenhao Luo, Yee Hui Lee, Mohamed Lokman Mohd Yusof, Abdulkadir C. C. Yucel
Summary: This study introduces a technique for using step-frequency continuous-wave (SFCW) ground-penetrating radar (GPR) data to detect tree roots. The proposed time-frequency filtering technique utilizes a short-time Fourier transform (STFT) to track changes in frequency spectrum density over time. A depth-adaptive filter window is used to effectively determine subsurface tree roots, and the technique is successfully validated using SFCW GPR data from actual sites in a tropical area with different soil moisture levels, significantly improving the 2-D radar map of subsurface root systems compared to existing methods.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Geochemistry & Geophysics
Wenhao Luo, Yee Hui Lee, Lai Fern Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel
Summary: This article explores the integration of the horizontal angle information of tree roots and a slice-relation-clustering algorithm to reconstruct complex tree root systems in a 3-D manner. Real measurement results show that our proposed method achieves a high efficiency in accurate root system reconstruction.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Qiqi Dai, Yee Hui Lee, Hai-Han Sun, Genevieve Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel
Summary: This paper proposes a 3D deep learning scheme called 3DInvNet for reconstructing 3D permittivity maps from ground-penetrating radar (GPR) data, which is important for mapping subsurface environments and inspecting underground structural integrity.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Engineering, Electrical & Electronic
Prasanjit Dey, Bibhash Pran Das, Yee Hui Lee, Soumyabrata Dev
Summary: With the increase in atmospheric pollution, continuous monitoring of atmospheric gas concentration has become crucial. Satellite monitoring offers a global coverage alternative to traditional in situ measurement strategies. However, satellite measurements do not provide information on vertical concentration profiles, leading to the need for estimation methods. Our research proposes a convolutional neural network, called the near-surface network, which is designed to estimate near-surface concentrations of atmospheric trace gases using only vertical column density (VCD) values.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Qiqi Dai, Yee Hui Lee, Hai-Han Sun, Jiwei Qian, Genevieve Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel
Summary: This paper proposes a deep learning-based 2-D ground-penetrating radar (GPR) forward solver for predicting the B-scans of subsurface objects buried in heterogeneous soil. The solver utilizes a bimodal encoder-decoder neural network with adaptive feature fusion to extract informative features from subsurface permittivity and conductivity maps. The experimental results demonstrate that the proposed solver achieves high accuracy with a mean relative error of 1.28% and significantly reduces the computational time compared to traditional physics-based solvers.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Wenhao Luo, Yee Hui Lee, Lai Fern Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel
Summary: This article proposes a roots fitting method based on electromagnetic (EM) waves travel time analysis to consider the realistic undulating ground surface. A wheel-based (WB) GPR and an antenna-height-fixed (AHF) GPR system are presented, and their corresponding fitting models are proposed. The effectiveness of the proposed method is demonstrated and validated through numerical examples and field experiments.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Geochemistry & Geophysics
Hai-Han Sun, Yee Hui Lee, Qiqi Dai, Chongyi Li, Genevieve Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel
Summary: Ground-penetrating radar (GPR) is used for nondestructive tree root inspection. The novel neural network architecture MMI-Net is proposed to estimate multiple root-related parameters simultaneously in heterogeneous soil environments. Experimental results show high estimation accuracy using this approach.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
