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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Zhang, Kuo Xie, Jiahao Liu, Zhenyang Yu, Songtao Science and Technology on Electronic Information Control Laboratory China

ISBN: (纸本)9798350375909

In this paper, a type of low cross polarization phased antenna arrays for X-band spaceborne synthetic aperture radar (SAR) applications is presented. The horizontal polarization radiation performance is realized with ridged-waveguide longitudinal slotted antenna arrays. The arrays are divided into several subarrays according to the scanning requirements of the phased array antennas, and V type slot is employed in ridged-waveguide wide wall as radiation unit. Excellent capacities such as matching characteristics, high efficiency and low cross polarization are achieved by adjusting the penetration angle and depth of the V slot. In the azimuth direction, the slotted waveguide antenna is designed as a linear array, and the low profile characteristics of antenna is realized by adopting stereoscopic coupling feeding technology. In the range direction, the narrow-wall dimensions of the ridged-waveguide is compressed by the ridged-waveguide to optical-waveguide mode conversion technology, and the preferable grating lobe performance is assured. A panel of 10 × 32 ridged-waveguide slotted antenna arrays with the active transceiver module are designed and fabricated, which are composed with 10 subarrays in azimuth direction and 32 subarrays in range direction, and each subarray contains 20 V slotted radiators, the total size of the phased antenna arrays is 121.6λ0 × 23.4λ0. The measured result shows a good agreement with the designed and calculated values, the normal efficiency exceeds 80% and the cross polarization level is lower than -30 dB in working band-with, and the modular design and compact structure, it is suitable for sapceborne SAR system, and the arrays in orbit is in good use. © 2024 IEEE.

关键词： Antenna phased arrays

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Application of X-band High Isolation Phased Array Payload in Satellite Data Transmission Communication

Application of X-band High Isolation Phased Array Payload in...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Liu, Zhenyang Zhang, Kuo Bao, Hongfei Song, Yang Science and Technology on Electronic Information Control Laboratory China

ISBN: (纸本)9798350375909

In this paper, a data transmission communication payload for low-orbit satellite constellation is designed and implemented, which is used for bidirectional data transmission between satellites and ground. The payload comprises a transmitting phased array and a receiving antenna module, the receiving antenna module comprises a wide-beam receiving antenna and a receiving front-end assembly, and the transmitting phased array integrates a transmitting antenna array, transmitting channel, frequency source, an up-and-down frequency conversion and a baseband processing module and a secondary power supply module. Each part of the transmission phased array adopts a modular design, and the signal is interconnected without cables through the motherboard and RF plug-in connectors, and the physical structure is compacts. Through the arrangement of transmitting and receiving antennas, filtering assistance, the effective filtering of the RF channel and the effective isolation of the frequency conversion channel realize the simultaneous operation of transmitting high EIRP and receiving high sensitivity in a wide angle range. At the same time, the payload also has a variety of capabilities such as simultaneous multi-user communication, on-orbit configurable key parameters, and on-orbit reconfigurable programs. © 2024 IEEE.

关键词： Antenna phased arrays

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A High-gain 3D-printed Phased Array Antenna for Satellite Applications

A High-gain 3D-printed Phased Array Antenna for Satellite Ap...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Xie, Jiahao Zhang, Kuo Zuo, Le Science and Technology on Electronic Information Control Laboratory China

ISBN: (纸本)9798350375909

In this paper, a high-gain 3d-printed phased array antenna is proposed for satellite applications. A multi-mode horn antenna is designed as the radiating element of the proposed phased array antenna. By optimizing the spline function curve of the inner wall of the horn section, multi-mode electric field is excited in the horn aperture, therefore the radiating element can obtain higher aperture efficiency and more compact size. The phased array antenna is composed of 25 4 × 4 subarrays and the horn section of each subarray is fabricated by the 3d-printed technology. The simulated results indicate that the proposed phased array antenna has the bandwidth of 17.8-21.2 GHz with the voltage standing wave ratio (VSWR) below 1.35, and achieves ±8.7° beam scanning range in both E and H plane. The peak gain of the phased array antenna is 42.2 dBi at center frequency 19.2 GHz and the coverage gain of the phased array antenna are 40.9 dBi and 41.3 dBi in E and H plane at center frequency 19.2 GHz, respectively. © 2024 IEEE.

关键词： Horn antennas

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Design of the Real-time control System for a Large-scaled Phased Array Based on High-speed Serial Bus

Design of the Real-time Control System for a Large-scaled Ph...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Wang, Wei Science and Technology on Electronic Information Control Laboratory China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375909

The realization of phase shift or delay of antenna array beam control based on FPGA. The accurate phase delay control of an active electronic scanning array (AESA) benefits from the implementation of the field programmable gate array (FPGA). Unfortunately, the complexity of phase delay control system increases as the scale of an AESA, and hence increasing the number of FPGAs that control the transmitting and receiving modules following each radiating element. This paper presents a system framework that combines the parallel processing capability of FPGA and high data transmission rate of low-voltage differential signaling (LVDS) bus protocol. The FPGA outputs the compressed data of the LVDS bus standard to the ASIC circuit, and the data is decoded into multi-bit low voltage transistor-transistor logic (LVTTL) data according to the corresponding decompression ratio by the destringer and phase-locked loop in the ASIC circuit. The data transmission rate can reach up to 360 Mbps. This proposed framework reduces the number of control lines to 22.2% compared to the traditional control method. © 2024 IEEE.

关键词： Phase locked loops

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MPGA-YOLOv8: A Leaf Disease Detection Network Combining Multi-Scale Progressive Feature Network and Global Attention

IAENG International Journal of Computer Science

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IAENG International Journal of Computer science 2025年第2期52卷 436-446页

作者： Xu, Jiacheng Yang, Yonghui Chu, Maoxiang Student of School of Electronic Information University of Science and Technology Liaoning Anshan114051 China School of Control Science and Engineering University of Science and Technology Liaoning Anshan114051 China

Considering the diversity of natural conditions, including fog, low light, and strong light, as well as the impact of various diseases on leaves, we propose an improved apple leaf disease detection method based on the YOLOv8n model. This method first uses a Multi-Scale Progressive Feature Network(MSPN) as the neck network to integrate multiple morphological lesions and enhance the model’s information integration capability. Then, a Global Self Attention Module (GSAM) is applied at the end of the backbone to help the model capture spatial relationships in the image and reduce interference from extremely complex background conditions. Next, we replace the convolution blocks in the backbone with Receptive Field-Focused Convolution Block (RFFconv) to effectively improve the model’s recognition accuracy through shared receptive field weights. Finally, we add a small object detection layer for small lesions to enhance the model’s generalization performance. Experimental results show that the proposed MPGA-YOLOv8 model effectively detects six types of apple leaf diseases in complex backgrounds, including healthy samples, with an average mAP accuracy of 74.3%. Compared to classic models like SSD, Faster RCNN, YOLOv3 tiny, YOLOv5, and YOLOv6, the mAP performance improves by 20.9%, 38.4%, 9.8%, 10.0%, and 14.3%, respectively. This model enables rapid and accurate detection and recognition of apple leaf diseases, providing viable technical support and solutions for disease prevention and control. © (2025), (International Association of Engineers). All rights reserved.

关键词： Disease control

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Latency minimization for multiuser computation offloading in fog-radio access networks

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Digital Communications and Networks 2025年第1期11卷 160-171页

作者： Wei Zhang Shafei Wang Ye Pan Qiang Li Jingran Lin Xiaoxiao Wu School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu611731China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing100089China

Recently,the Fog-Radio Access Network(F-RAN)has gained considerable attention,because of its flexible architecture that allows rapid response to user *** this paper,computational offloading in F-RAN is considered,where multiple User Equipments(UEs)offload their computational tasks to the F-RAN through fog *** UE can select one of the fog nodes to offload its task,and each fog node may serve multiple *** tasks are computed by the fog nodes or further offloaded to the cloud via a capacity-limited fronhaul *** order to compute all UEs'tasks quickly,joint optimization of UE-Fog association,radio and computation resources of F-RAN is proposed to minimize the maximum latency of all *** min-max problem is formulated as a Mixed Integer Nonlinear Program(MINP).To tackle it,first,MINP is reformulated as a continuous optimization problem,and then the Majorization Minimization(MM)method is used to find a *** MM approach that we develop is unconventional in that each MM subproblem is solved inexactly with the same provable convergence guarantee as the exact MM,thereby reducing the complexity of MM *** addition,a cooperative offloading model is considered,where the fog nodes compress-and-forward their received signals to the *** this model,a similar min-max latency optimization problem is formulated and tackled by the inexact *** results show that the proposed algorithms outperform some offloading strategies,and that the cooperative offloading can exploit transmission diversity better than noncooperative offloading to achieve better latency performance.

关键词： Fog-radio access network Fog computing Majorization minimization WMMSE

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Radar Signal Modulation Recognition based on Multi-scale Self-correlation Combined with Layered Convolution-GRU Network 6

Radar Signal Modulation Recognition based on Multi-scale Sel...

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6th International Conference on electronic Engineering and Informatics, EEI 2024

作者： Yang, Qilun Zhang, Xuying Du, Ye Zuo, Yuan Science and Technology on Electronic Information Control Laboratory Chengdu China

ISBN: (纸本)9798350353594

In order to satisfy the modulation recognition requirements for radar signal with agility pulse-width, bandwidth and modulation type, the multi-scale self-correlation combined with layered convolution-GRU network is proposed in this paper. First, the waveform is processed by multi-scale self-correlation with different accumulation points to obtain the time-amplitude and time-frequency information;Second, the local characteristics were extracted by layered convolution network respectively;Lastly, the local characteristics of each self-correlation are integrated, and the GRU network is adopted to extract the serialization representation. The proposed network combines the advantages of local characteristics of CNN and the sequence characteristics of GRU. The simulation shows that the modulation recognition accuracy is more than 95.4% over the detection sensitivity for normal, LFM, NLFM, FSK, BPSK, QPSK signals. © 2024 IEEE.

关键词： Signal modulation

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Intensive Electromagnetic Target Association based on Multi-dimensional Characteristics Fuzzy Weighted Algorithm 6

Intensive Electromagnetic Target Association based on Multi-...

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6th International Conference on electronic Engineering and Informatics, EEI 2024

作者： Du, Ye Yang, Qilun Zhang, Xuying Zuo, Yuan Science and Technology on Electronic Information Control Laboratory Chengdu China

ISBN: (纸本)9798350353594

In order to improve the intensive electromagnetic target association requirement for electronic reconnaissance, the multi-dimensional characteristics fuzzy weighted algorithm is proposed in this paper. On the basis of the signal deinterleaving, each dimensional electromagnetic parameter is carried out by nonlinear Euclid distance as the degree of membership firstly, and then the membership degree of different electromagnetic parameters is fuzzy weighted, finally the electromagnetic target is tracked based on the weighted membership. The simulation demonstrates that the proposed algorithm can track the intensive target with interlocking electromagnetic parameters accurately, and it has good robustness to the parameters of algorithm. © 2024 IEEE.

关键词： Nonlinear simulations

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Predictor and ESO-based adaptive tracking control of heterogeneous vehicle platoon

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science China(Technological sciences) 2024年第9期67卷 2842-2852页

作者： SUN ZhiZe LIU Yang ZHANG LinChuang College of Control Science and Engineering Bohai UniversityJinzhou 121013China College of Automation and Electronic Engineering Qingdao University of Science and TechnologyQingdao 266061China College of Information Science and Technology Bohai UniversityJinzhou 121013China

This paper investigates the distributed adaptive platoon tracking problem of third-order heterogeneous vehicles subject to model uncertainties. The design process is divided into two steps. Firstly, an adaptive tracking controller is designed for the dynamic leading vehicle. And then, the distributed adaptive controllers are established for followers. Moreover, the predictor technique is used to improve the estimate performance of the adaptive law, and the total disturbance is approximated and compensated by the variable gain nonlinear extended state observers(NESOs) driven by the estimation error. By introducing the variable gain hyperbolic tangent tracking differentiator(HTTD), the “complexity explosion” problem is avoided. The feasibility and effectiveness of the proposed protocol are verified by simulation tests.

关键词： variable gain NESOs heterogeneous vehicles platoon tracking predictor

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Spatial Distribution Feature Extraction Network for Open Set Recognition of Electromagnetic Signal

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Computer Modeling in Engineering & sciences 2024年第4期139卷 279-296页

作者： Hui Zhang Huaji Zhou Li Wang Feng Zhou The Ministry Key Laboratory of Electronic Information Countermeasure and Simulation Xidian UniversityXi’an710071China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033China

This paper proposes a novel open set recognition method,the Spatial Distribution Feature Extraction Network(SDFEN),to address the problem of electromagnetic signal recognition in an open *** spatial distribution feature extraction layer in SDFEN replaces convolutional output neural networks with the spatial distribution features that focus more on inter-sample information by incorporating class center *** designed hybrid loss function considers both intra-class distance and inter-class distance,thereby enhancing the similarity among samples of the same class and increasing the dissimilarity between samples of different classes during ***,this method allows unknown classes to occupy a larger space in the feature *** reduces the possibility of overlap with known class samples and makes the boundaries between known and unknown samples more ***,the feature comparator threshold can be used to reject unknown *** signal open set recognition,seven methods,including the proposed method,are applied to two kinds of electromagnetic signal data:modulation signal and real-world *** experimental results demonstrate that the proposed method outperforms the other six methods overall in a simulated open ***,compared to the state-of-the-art Openmax method,the novel method achieves up to 8.87%and 5.25%higher micro-F-measures,respectively.

关键词： Electromagnetic signal recognition deep learning feature extraction open set recognition

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