Multi-UAV deployment in complex mountain marathon: two-tier relay and multi-objective genetic optimizationLin, Zejian; Zhong, Jie
doi: 10.1088/1742-6596/2991/1/012005pmid: N/A
Unmanned aerial vehicles (UAVs) play a pivotal role in enhancing communication scalability, mission reliability, and network endurance. However, in the mountain marathon broadcasting scenario, existing strategies fail to effectively address the challenges posed by dynamic user movement and complex terrain, resulting in unstable network communication and suboptimal energy efficiency. To address this, this paper proposes an innovative two-tier relay network deployment strategy, which can meet the needs of different layers of communication coverage and energy efficiency management through a hierarchical optimization method. Firstly, we optimize the deployment of first-tier follow UAVs by predicting user distribution density and terrain complexity to ensure continuous access and stable communication for mobile users. Secondly, based on the multi-objective optimization framework of bandwidth, QoS and energy efficiency, the genetic algorithm is used to optimize the deployment of the second-tier backhaul uav. The partition backhaul link system of multi-base station access is constructed. This strategy not only ensures high-quality video return but also maximizes the energy efficiency ratio and significantly reduces the overall consumption of UAV resources. The effectiveness of the proposed strategy is verified by simulation experiments. The simulation results show that compared with the traditional single-tier deployment method, the proposed strategy not only ensures user communication coverage but also greatly improves the system’s energy efficiency.
A UAV localization method based on RF TDOA and visual YOLO feature fusionLiu, Runjie; Zhang, Yuankang; Xu, Huina
doi: 10.1088/1742-6596/2991/1/012014pmid: N/A
In recent years, the rapid development of UAV technology has opened up a wide range of application prospects, but unauthorized UAV flights pose potential threats to low-altitude airspace security. Existing monitoring methods often rely on expensive high-precision equipment or single-sensor systems, making it difficult to achieve low-cost yet high-accuracy UAV localization and identification. A localization method based on a multi-sensor fusion strategy combining RF and visual data, that is, integrating RF TDOA localization technology with lightweight YOLO visual localization technology (TAYT, TDOA, and YOLO technology) is proposed in this paper. The method isolates the radio frequency bands used by the UAV, discovers the UAV through RF TDOA frequency scanning positioning, and combines Yolo images to locate the UAV. Experimental results demonstrate that this approach overcomes issues such as large errors caused by the susceptibility of spectrum sensors to environmental noise interference and non-line-of-sight effects. The minimum error of the positioning error is about 2.79 meters compared to the reference standard. A low-cost and high-efficiency positioning technology for effective low-altitude UAV monitoring is provided in this paper.
Research on air-sea cross-medium communication based on mechanical antennaLiu, Zhigang; Song, Yingxue; Yang, Xiaoqing
doi: 10.1088/1742-6596/2991/1/012026pmid: N/A
The high-conductivity conditions underwater create considerable difficulties for current high-frequency communication systems. Very Low Frequency (VLF) communication has become a viable solution due to its reduced radiation attenuation. However, traditional long-wave antennas require large sizes to operate at these frequencies, which makes them difficult to transport, install, and maintain. Mechanical antennas, on the other hand, generate electromagnetic radiation by using mechanical vibrations to induce the flipping of electric or magnetic dipoles within the material, overcoming the size and efficiency limitations of conventional long-wave antennas and enabling miniaturization. Current research on mechanical antennas primarily focuses on signal transmission in single media, such as air or water, while studies on cross-medium communication systems remain underdeveloped. In this study, a mechanical antenna made from magnetoelectric (ME) composite materials was used to investigate cross-medium communication performance in a practical communication system. The basic theory of mechanical antennas was first explained. An antenna suitable for the desired frequency was designed through simulation, verifying its equivalence to a magnetic dipole model. Based on electromagnetic wave transmission theory across air-water media, an electromagnetic field model for vertical magnetic dipole cross-medium transmission was established. Afterward, the mechanical antenna was fabricated. Relevant tests were conducted in an actual communication system. The results showed that the designed Metglas-PZT mechanical antenna, operating a resonant frequency of 14.1 kHz, achieved a communication rate of 200 bps and error-free text transmission over a total distance of 1 meter, including 0.7 meters in air and 0.3 meters underwater, using 2ASK modulation. These results confirm the feasibility of mechanical antennas for air-water cross-medium communication and provide important references for future research in underwater communication.
Prefacedoi: 10.1088/1742-6596/2991/1/011001pmid: N/A
The 2025 4th International Conference on Electronic Information and Communication Engineering (EICE 2025) was successfully convened from January 10th to 12th, 2025, in Guangzhou, China. This conference served as a premier platform for academics, researchers, and industry professionals in the fields of electronic information and communication engineering to share their latest research findings, technological advancements, and future development trends.The conference was honored to have distinguished individuals in leadership roles. The General Chairs included renowned experts in the field, such as Professor Ram Bilas Pachori of Indian Institute of Technology Indore, with an H-index of 71, and Professor Pascal Lorenz from University of Haute-Alsace, France, whose collective expertise ensured the high academic standards and successful execution of the event. The Technical Program Committee Chairs and the Publication Chairs also played pivotal roles in maintaining the rigorous review process and ensuring the quality of the conference proceedings.The keynote speeches delivered at EICE 2025 were particularly noteworthy. These presentations, delivered by leading experts in the field, covered a wide range of topics, including the latest advancements in 6G communication technology, the integration of artificial intelligence and machine learning in communication systems, and the development of next-generation wireless networks. The keynote speakers included Professor Lide Fang from Hebei University, Professor Zhiguo Shi of Zhejiang University, as well as Associate Professor Mingkai Chen from Nanjing University of Posts and Telecommunications. Their speeches provided valuable insights into the cutting-edge research and practical applications in electronic information and communication engineering, inspiring both seasoned researchers and early-career scholars.List of Committee Member is available in this Pdf.
In-band full-duplex technology in VDES: a hardware implementation for high isolation in the analogue domainWang, Tan; Li, Juncheng; Li, Pei; Liu, Jianyu
doi: 10.1088/1742-6596/2991/1/012025pmid: N/A
In-band full-duplex technology can transmit and receive information in the same frequency band at the same time, which can greatly improve the throughput and spectrum utilization of the communication system. In this paper, the in-band full-duplex technology is applied to the VHF Data Exchange System (VDES) to eliminate the self-interference signal and improve the isolation between transceiver links in the 160 MHz frequency band. The time-domain reconstruction method is used to design the scheme for two narrow frequency bands of VDES. An RF cancellation board is designed to reconstruct the equal amplitude and inverse-phase signals of the self-interference signals by adjusting the amplitude and shifting the phase of the replica signals coupled from the transmitter link. It is then coupled into the receiving link to cancel the self-interference signals. The final physical test data shows that the isolation of approximately 62 dB is achieved in the frequency bands of 156.7~157.4 MHz and 161.8~162.1 MHz.
Full coverage path planning for multiple farming machines based on an improved A* algorithmYang, Yufei; Meng, Zhenghua; Guo, Wei; Ma, Jinbo
doi: 10.1088/1742-6596/2991/1/012001pmid: N/A
The global agriculture industry, facing labor shortages and the need for enhanced production efficiency, turns to unmanned farm machinery as a solution. This study addresses the critical issue of path planning and scheduling for these machines, which often suffer from insufficient coverage, high duplication, and energy consumption when encountering large obstacles in the field. By integrating regional division and an improved A-Star algorithm, the research facilitates full coverage traversal within divided regions and explores the coordinated operation of multiple unmanned agricultural machinery units. The method achieves a 100% coverage rate and reduces operation time by 14.37%, significantly improving efficiency and coverage while lowering duplication rates, and demonstrating promising engineering application prospects in the field of agricultural automation
Distributed collection and summary method of power concentrator operation state data based on Beidou communication technologyYang, Ziyuan; Huang, Xin; Hao, Jianshu; Li, Dawei
doi: 10.1088/1742-6596/2991/1/012018pmid: N/A
When the data volume of the power concentrator increases sharply, it is difficult to realize the function of analyzing and forwarding data frames, which leads to congestion and limited summary effect. Therefore, this paper proposes a distributed collection and summary method of power concentrator operation state data based on Beidou communication technology. The surface smoothness of gateway node equipment is calculated. A maximum value and a minimum value are set to select feature points. A feature extraction result of power concentrator operation state data based on Beidou communication technology is obtained. Based on the principles of real-time, accuracy, integrity, periodicity and abnormality, the characteristic indexes of distributed collection and summary of power concentrator operation state data are divided. Based on the characteristics of operation state data, the comprehensive support of the power concentrator is analyzed, and the distributed collection and summary results of power concentrator operation state data are obtained. The experimental results show that this method can ensure that the power concentrator can efficiently collect and summarize different types of data in a distributed way. When the data volume increases sharply, this method can significantly reduce the congestion phenomenon and has good performance.
A dynamic STC attenuation strategy based on environmental perceptionGu, Kaixue; Zhou, Jianyang
doi: 10.1088/1742-6596/2991/1/012008pmid: N/A
The fixed static STC suppression strategy is often applied in project practice. There is frequently an issue where clutter procession algorithms fail to swiftly adapt to environmental changes, leading to an increased false alarm rate in radar systems, which significantly impairs the normal detection of targets and, consequently, directly undermines the tactical effectiveness of air defense operational command systems. The paper discusses that signal processing is used to process the data before and after the attenuation of STC in the full range section respectively, and the attenuation value in the full range section is quantified according to the minimum scale. After multiple iterations, an attenuation benchmark is set for different range segments to enable dynamic selection of STC (Sensitivity Time Control) attenuation strategies. This enhances the adaptive and rapid matching capabilities of clutter suppression strategies to changing environments, achieving a dynamic balance between target detection probability and false alarm rate. Ultimately, it realizes the radar’s clutter environment perception and adaptive clutter processing capabilities, enabling the radar to maintain superior target detection performance in cluttered or interfered environments.
A 5.16 ppm/°C high precision bandgap reference with no amplifiersJi, Zhenxin; Wu, Jianchen
doi: 10.1088/1742-6596/2991/1/012012pmid: N/A
A high precision bandgap voltage reference for the electric vehicle battery monitoring and management integrated circuit is proposed in this paper. Wilson current mirrors are used instead of operational amplifiers as clamping potentials in the circuit, which can also reduce noise and power consumption. High-order curvature compensation and linearization compensation are applied to decrease the temperature coefficient at high temperatures. The simulation results indicate that the average temperature coefficient is 5.16 ppm/°C from -40°C to 125°C. The output reference voltage can achieve 13.4 μV (rms) noise from 0.1 Hz to 10 Hz. The proposed circuit consumes 73.6 μA and occupies 0.033 mm2 at 1.8 V supply voltage.