Email alert
Current Articles
2025, Volume 47, Issue 3
Display Method:
2025,
47(3):
573-581.
doi: 10.11999/JEIT240804
Abstract:
RF-based drone detection is an essential method for managing non-cooperative drones, with Drone Individual Recognition (DIR) via RF signals being a key component in the detection process. Given the current scarcity of DIR datasets, this paper propose...
2025,
47(3):
582-589.
doi: 10.11999/JEIT240655
Abstract:
Objective In large-scale battlefield environments, the testing and training of electromagnetic spectrum operation equipment rely on simulations within a vast digital electromagnetic environment. However, the computational complexity of large-scale el...
2025,
47(3):
590-599.
doi: 10.11999/JEIT240840
Abstract:
Objective This research develops an efficient Bayesian Expectation Propagation (EP) detection method for Differential Spatial Modulation (DSM) systems using Multi-Phase Shift Keying (MPSK). DSM systems are notable for their advantage of not requiring...
2025,
47(3):
600-611.
doi: 10.11999/JEIT240874
Abstract:
Objective The Internet of Vehicles (IoV) is a global innovation focus, enabling ubiquitous interconnection among vehicles, roads, and people, thereby reducing traffic congestion and improving traffic safety. Vehicle-to-Vehicle (V2V) communication rep...
2025,
47(3):
612-622.
doi: 10.11999/JEIT240596
Abstract:
Objective The resource scheduling in Low Earth Orbit (LEO) satellite communication systems using Beam Hopping (BH) technology is a continuous, long-term allocation process. Unlike geostationary earth orbit (GEO) satellites, LEO satellites exhibit hig...
2025,
47(3):
623-632.
doi: 10.11999/JEIT240732
Abstract:
A robust beamforming method based on imperfect Channel State Information (CSI) is proposed for dense Low-Earth Orbit (LEO) satellite network-assisted terrestrial wireless communication systems to enhance spectral efficiency. Specifically, in scenario...
2025,
47(3):
633-644.
doi: 10.11999/JEIT240344
Abstract:
Objective The rapid development of wireless communication and the Internet of Things (IoT) has led to significant growth in compute-intensive and delay-sensitive applications, which impose stricter latency requirements. However, local devices often f...
2025,
47(3):
645-656.
doi: 10.11999/JEIT240741
Abstract:
Objective Federated Learning (FL) represents a distributed learning framework with significant potential, allowing users to collaboratively train a shared model while retaining data on their devices. However, the substantial differences in computing,...
2025,
47(3):
657-665.
doi: 10.11999/JEIT240447
Abstract:
Objective With the rapid development of wireless communication technologies, the demand for spectrum resources has significantly increased. Cognitive Radio (CR) has emerged as a promising solution to improve spectrum utilization by enabling Secondary...
2025,
47(3):
666-677.
doi: 10.11999/JEIT240773
Abstract:
Objective To meet the differentiated service requirements of users in dynamic Edge Computing (EC) network scenarios, network slicing technology has become a crucial enabling approach for EC networks to offer differentiated edge services. It facilitat...
Fast Sensing Method Based on Beam Squint and Beam Split of Terahertz Reflective Intelligent Surfaces
2025,
47(3):
678-686.
doi: 10.11999/JEIT240789
Abstract:
Objective Reflecting Intelligent Surface (RIS)-aided Terahertz (THz) communications are considered a key technology for future Sixth-Generation (6G) mobile communication systems addressing issues such as signal attenuation and Line-of-Sight (LoS) link...
2025,
47(3):
687-695.
doi: 10.11999/JEIT240631
Abstract:
Objective The rapid growth in the number of wireless communication devices has led to the expansion of frequency bands to higher frequencies, resulting in increased overlap between communication and radar systems. Dual-Functional Radar-Communication ...
2025,
47(3):
696-706.
doi: 10.11999/JEIT240818
Abstract:
Objective Small target recognition on the sea surface is a critical and challenging task in maritime radar surveillance. The variety of small targets and the complexity of the sea surface environment make their classification difficult. Due to the sm...
2025,
47(3):
707-719.
doi: 10.11999/JEIT240528
Abstract:
Objective Feature detection has become an effective approach for detecting small targets in sea clutter environments, attracting significant attention and research. Previous studies primarily focused on extracting differential features between target...
2025,
47(3):
720-728.
doi: 10.11999/JEIT240517
Abstract:
Objective The Internet of Vehicles (IoV) plays a pivotal role in the development of modern intelligent transportation systems. It enables seamless communication among vehicles, road infrastructure, and pedestrians, thereby improving traffic managemen...
2025,
47(3):
729-738.
doi: 10.11999/JEIT240782
Abstract:
Objective In 2017, the PFP algorithm was introduced as an ultra-lightweight block cipher to address the demand for efficient cryptographic solutions in constrained environments, such as the Internet of Things (IoT). With a hardware footprint of appro...
2025,
47(3):
739-757.
doi: 10.11999/JEIT241067
Abstract:
Objective In big data and Internet of Things (IoT) applications, clustering analysis of collected data is crucial for enhancing user experience. To mitigate privacy risks from using raw data directly, Local Differential Privacy (LDP) techniques are o...
2025,
47(3):
758-768.
doi: 10.11999/JEIT240796
Abstract:
Objective In Vehicular Ad-hoc NETworks (VANETs), network instability and frequent vehicle mobility complicate data aggregation and expose it to potential attacks. Traditional Federated Learning (FL) approaches face challenges such as high computation...
2025,
47(3):
769-779.
doi: 10.11999/JEIT240767
Abstract:
Objective With the rapid growth of e-commerce, express delivery volumes have surged, placing increased demands on existing logistics infrastructure and operational models. An efficient express logistics network can help reduce costs, improve transpor...
2025,
47(3):
780-791.
doi: 10.11999/JEIT240477
Abstract:
Objective Membership Inference Attacks (MIAs) against machine learning models represent a significant threat to the privacy of training data. The primary goal of MIAs is to determine whether specific data samples are part of a target model’s training...
2025,
47(3):
792-802.
doi: 10.11999/JEIT240836
Abstract:
Objective This study establishes the nonlinear relationship between flame light field images and the 3D temperature field using deep learning techniques, enabling rapid 3D reconstruction of the flame temperature field. However, light-field images are...
2025,
47(3):
803-813.
doi: 10.11999/JEIT240824
Abstract:
Objective This paper addresses the problem of extended target tracking in the presence of non-stationary abnormal noise. Traditional Gaussian extended target filters and Student’s t filters rely on the assumption of stationary noise distributions, wh...
2025,
47(3):
814-824.
doi: 10.11999/JEIT240867
Abstract:
Objective In cocktail party scenarios, individuals with normal hearing can selectively focus on specific speakers, whereas individuals with hearing impairments often struggle in such environments. Auditory Attention Decoding (AAD) aims to infer the s...
2025,
47(3):
825-838.
doi: 10.11999/JEIT240720
Abstract:
Objective Building change detection is an essential task in urban planning, disaster management, environmental monitoring, and other critical applications. Advances in multi-temporal remote sensing technology have provided vast amounts of data, enabl...
2025,
47(3):
839-849.
doi: 10.11999/JEIT240702
Abstract:
Objective Human action recognition plays a key role in computer vision and has gained significant attention due to its broad range of applications. Skeleton data, derived from human action samples, is particularly robust to variations in camera viewp...
2025,
47(3):
850-858.
doi: 10.11999/JEIT240294
Abstract:
Objective As space exploration advances, the requirement for high-density memory in spacecraft escalates. However, SRAMs employed in aerospace applications face susceptibility to Single-Event Upsets (SEUs) and Multiple-Node Upsets (MNUs) due to high-...
