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2025
Volume: 32 Issue 2
18 Article(s)
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Research on SysML Based Air Distributed Operation System Modeling
WANG Xiaolong, WANG Nuanchen, MU Ge, ZHANG Xudong, and LI Xinjin
To conduct research on new operations, such as air distributed operation with intelligent and unmanned characteristics, and to support the development of system equipment and capability, a systemic modeling method using SysML is proposed. On the basis of combing the concept development, this paper summarizes the characTo conduct research on new operations, such as air distributed operation with intelligent and unmanned characteristics, and to support the development of system equipment and capability, a systemic modeling method using SysML is proposed. On the basis of combing the concept development, this paper summarizes the characteristics of air distributed operation system and analyzes its winning mechanism. the data meta model of air distributed operation system is constructed on the basis of DoDAF2.0 meta model, and the system model is selected, the modeling framework is constructed and the modeling process is sorted out according to the graphic characteristics of SysML. Finally, through the example of an intelligent UAV swarm operation system, the effectiveness of the proposed approach is validated, which supplies a technical support for building a new type of operational system model..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 1 (2025)
Hyperspectral Target Tracking Based on Spectral Dimensionality Reduction and Feature Fusion
WU Li, WANG Mengyuan, HUANG Kunpeng, TIAN Haoxiang... and WANG Qing|Show fewer author(s)
Aiming at the problem that existing hyperspectral video tracking algorithms perform poorly when target scale variation, a hyperspectral video target tracking algorithm based on spectral dimensionality reduction and feature fusion is proposed. Firstly, the difference of the local spectral curve of the target is calculatAiming at the problem that existing hyperspectral video tracking algorithms perform poorly when target scale variation, a hyperspectral video target tracking algorithm based on spectral dimensionality reduction and feature fusion is proposed. Firstly, the difference of the local spectral curve of the target is calculated and the spectral curve of the target is obtained by combining eigenvalue sorting and threshold setting. Subsequently, the target spectral curve and the hyperspectral image are used to calculate the spectral angular distance to achieve dimensionality reduction. Then, the improved multi-scale capsule network is used to extract multi-scale features. In order to use the information of different scales, the mask generated by dimensionalityreduction is fused with multi-scale features. Finally, the fused multi-scale features are input into the classification and regression capsule, and the template updating mechanism is used to enhance the stability and robustness of tracking, so that the algorithm can better cope with the challenges brought by scale variation. Experimental results indicate the superiority of the proposed algorithm in dealing with the challenge of scale variation..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 7 (2025)
Future Point Prediction of Glide-Guided Bomb Target Based on Attitude Estimation
WANG Baobao, and XIN Bin
Glide-guided bombs have become an important threat to air defense in important areas. How to accurately predict the trajectory and future point of this type of target is the key problem of modern air defense fire control solution. A method for predicting the future point of glide-guided bomb targets based on attitude eGlide-guided bombs have become an important threat to air defense in important areas. How to accurately predict the trajectory and future point of this type of target is the key problem of modern air defense fire control solution. A method for predicting the future point of glide-guided bomb targets based on attitude estimation is introduced. Firstly, based on the estimation of the present point of the target, the attitude coordinate system of the target is calculated, and the target maneuver plane is established on the basis of the force analysis of the attitude coordinate system. Then, the dynamic differential equations in which the drag force and lift force can change iteratively are established in the maneuvering plane. Finally, the prediction points obtained in the maneuver plane are converted to the state estimation coordinate system to obtain the final result. The experimental results show that compared with the traditional method, the accuracy of future point prediction is increased by 37.2%~65.5%, which can be used as a more effective means for trajectory prediction of glide-guided bomb targets..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 13 (2025)
Improved Ant Colony Algorithm for 3D Trajectory Planning of Unmanned Aerial Vehicles
SHI Guangtai, and WANG Helong
Ant colony algorithm is often used to solve the problem of UAV path planning, but the traditional ant colony algorithm has many defects such as slow iteration speed and easy to fall into local optimization. A series of improvement measures are proposed to address these issues. For the blind search problem of ant colonyAnt colony algorithm is often used to solve the problem of UAV path planning, but the traditional ant colony algorithm has many defects such as slow iteration speed and easy to fall into local optimization. A series of improvement measures are proposed to address these issues. For the blind search problem of ant colony algorithm in the early stage of route planning, pheromones are distributed unevenly and guidingly in the task space, which makes ants explore along the line from the starting point to the target point, and the exploration of ant colony is more directional. At the same time, the influence of rotation angle on track smoothness is considered in the heuristic function to improve the quality of track planning. In addition, the adaptive volatilization coefficient is used to dynamically adjust the pheromone volatilization rate, so as to avoid premature convergence to the local optimum, and to ensure the accelerated convergence in the later period, thus to prevent the algorithm from falling into endless calculation, and a redundant node elimination strategy is used to further optimize the track..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 18 (2025)
Trajectory Planning for Minimizing Floating Base Disturbance of Spatial Dual-Arm Robots
ZHANG Hui, ZUO Xiaozhong, ZHANG Wei, and GAO Sheng
Aiming at the trajectory planning problem of space dual-arm robot, this paper proposes a floating base perturbation minimization trajectory planning method based on sparrow search algorithm. Firstly, the joint angles of the dual-arm robot are taken as optimization variables, and the kinematics model of the robot is conAiming at the trajectory planning problem of space dual-arm robot, this paper proposes a floating base perturbation minimization trajectory planning method based on sparrow search algorithm. Firstly, the joint angles of the dual-arm robot are taken as optimization variables, and the kinematics model of the robot is constructed by using the parametric method of joint trajectory. Secondly, the positioning accuracy of the end effector is taken as the optimization goal and the disturbance of the floating base is taken as the optimization constraint. Meanwhile, to ensure the safety of the planning process, penalty factors and collision detection mechanisms are introduced, and the trajectory planning problem is transformed into a constrained multi-objective optimization problem. Finally, the sparrow search algorithm is used to solve the problem, and the optimal joint trajectory of the dual-arm robot is obtained. The simulation results show that the proposed method can effectively reduce the base disturbance while ensuring the positioning accuracy of the end effector, and its performance under the base unconstrained condition is better than the traditional particle swarm optimization and simulated annealing algorithms..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 24 (2025)
Adaptive Event-Triggered Formation Control for UAVs Based on Relative Bearing
ZHAO Lihui, LIU Zhifang, and WANG Dezhi
The formation control of UAV under the leader-follower structure is explored. Aiming at the problem that traditional formation control relies on external positioning equipment and communication equipment, an adaptive event-triggered formation control method based on bearing information is designed, which measures the rThe formation control of UAV under the leader-follower structure is explored. Aiming at the problem that traditional formation control relies on external positioning equipment and communication equipment, an adaptive event-triggered formation control method based on bearing information is designed, which measures the relative bearing by utilizing on-board camera to reduce the dependence on external equipment. A fuzzy system is further designed for the modeling error and external disturbance of the formation system, and anovel bearing formation controller is designed by combining the event-triggering mechanism, adaptive strategy and inversion control. This method not only realizes the formation control, but also avoids the continuous update of the control law, thus saving the computational resources of the UAV. Subsequently, the stability of the closed-loop control system is proved based on Lyapunov theory. Finally, the effectiveness of the proposed controller is verified by simulation experiment..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 32 (2025)
On Aeromagnetic Compensation of Hexacopter UAVs
YU Longxing, WEI Yuanyuan, FU Shimo, CHANG Qing, and WANG Yaoli
As a passive autonomous navigation method, geomagnetic navigation has stronger stability than the Global Positioning System (GPS). To improve the accuracy of geomagnetic navigation of the UAV platform, it is needed to compensate for the fixed field interference, eddy current interference and induction interference geneAs a passive autonomous navigation method, geomagnetic navigation has stronger stability than the Global Positioning System (GPS). To improve the accuracy of geomagnetic navigation of the UAV platform, it is needed to compensate for the fixed field interference, eddy current interference and induction interference generated by the UAV platform. Based on the measured UAV magnetic field data, the frequency characteristics of the interference signal during UAV operation are analyzed. Combining the traditional Tolles-Lawson model and Kalman filter algorithm to predict the change of geomagnetic field, and the assumption of constant geomagnetic field in the traditional Tolles-Lawson model is removed. The forgetting factor α is introduced to reduce the noise of observation covariance error and state covariance error according to the residual theory, realize noise prediction, and improve the Kalman filter. The experimental analysis shows that the improved adaptive Kalman filter effectively reduces the compensation error, and the compensation effect Improvement Ratio (IR) is 5.64 higher than that of the ordinary Kalman filter, and the magnetic field noise glitch in the compensated magnetic field data is significantly reduced..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 38 (2025)
Review of Rocket Return and Landing Guidance Methods
ZHAO Yue, LI Chao, YU Ya'nan, and XIONG Fenfen
Reusable rockets are an inevitable trend in future development of space transportationtechnology. The technology of return and vertical landing guidance is one of the key technologies for achieving precise landing and recovery of rockets. This paper focuses on three critical stages of rocket return and landing: poweredReusable rockets are an inevitable trend in future development of space transportationtechnology. The technology of return and vertical landing guidance is one of the key technologies for achieving precise landing and recovery of rockets. This paper focuses on three critical stages of rocket return and landing: powered deceleration phase, aerodynamic deceleration phase, and vertical landing phase, provides an review of existing guidance methods. Firstly, the dynamic model of rocket return and landing is established, and the constraints in each stage of return and landing are clarified. Then, according to the deceleration phase and vertical landing phase, the nominal trajectory tracking guidance method and predictive-corrective guidance method in deceleration phase, analytical guidance method in vertical landing phase, guidance method based on trajectory optimization and machine learning are introduced in detail from the aspects of basic principle, development process and research and application in engineering practice. Finally, it presents an outlook on future research directions worth exploring in the field of guidance for the return of rockets..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 45 (2025)
Airborne TSN End-to-End Worst-Case Delay Analysis Model Based on Network Calculation
CHEN Chen, ZHENG Zhiming, ZHANG Xiaobei, and ZHANG Qi
The Frame Replication and Elimination for Reliability (FRER) redundancy mechanism in Time Sensitive Network (TSN) improves the reliability of the network through the replication and elimination functions of data packets. Data packets are copied onto the redundant paths through replication function, and then the paths aThe Frame Replication and Elimination for Reliability (FRER) redundancy mechanism in Time Sensitive Network (TSN) improves the reliability of the network through the replication and elimination functions of data packets. Data packets are copied onto the redundant paths through replication function, and then the paths are merged and the elimination function removes duplicates. This redundancy scheme affects the timing behavior of the TSN, resulting in increased end-to-end uncertainty. To this end, by combing the Time Aware Shaper (TAS) algorithm, the delay problem caused by the FRER mechanism is reduced by setting different gating parameters, and a worst-case delay calculation model based on Network Calculus (NC) is provided for airborne TSN, and the upper bound of end-to-end delay in multi-service data transmission is quantitatively analyzed to evaluate whether the airborne network under TSN meets the communication requirements. Finally, the network topology of certain aircraft is simulated by OMNET, which verifies the applicability of TSN technology in civil aircraft avionics network and the availability of this model for end-to-end worst delay analysis of airborne TSN communication system, and provides a basis for network resource optimization..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 54 (2025)
Health State Prediction of Inertial Navigation System Based on Aperiodic Data
WANG Ziwen, KONG Xiangyu, ZHOU Zhijie, NING Pengyun, and ZHANG Chaoli
Health state prediction is a key technology to ensure the safe and stable operation of the Inertial Navigation System (INS). Aiming at the characteristics of an INS with limited detection times and aperiodic test interval, a method for health state prediction of INS based on aperiodic data is proposed. Firstly, the MetHealth state prediction is a key technology to ensure the safe and stable operation of the Inertial Navigation System (INS). Aiming at the characteristics of an INS with limited detection times and aperiodic test interval, a method for health state prediction of INS based on aperiodic data is proposed. Firstly, the Metropolis-Hastings algorithm is used to combine the historical detection data of the inertial navigation system of different equipment in the same batch, periodize the detection data of the inertial navigation system of this equipment. Secondly, the principal component analysis method is utilized to extract high-dimensional features to reduce the redundancy and correlation of data. Finally, the health state prediction model of INS is established by using multi-classification support vector machine to predict the health state of INS. The effectiveness and practicability of the proposed method is verified by the historical calibration data of an INS..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 60 (2025)
Design of Airborne Software Service QoS System for Critical Tasks
JIA Wenqi, GAO Xiangzheng, CHEN Yang, and LIU Yi
With the transformation of airborne software system to flexible and open service-oriented architecture, how to guarantee service quality has become the focus of service governance. The Quality of Service (QoS) is innovatively applied to airborne software services to ensure the continuous and reliable operation of serviWith the transformation of airborne software system to flexible and open service-oriented architecture, how to guarantee service quality has become the focus of service governance. The Quality of Service (QoS) is innovatively applied to airborne software services to ensure the continuous and reliable operation of service clusters. Comprehensively considering the value of characterizing the QoS of airborne software under actual conditions and combining with the critical mission OODA combat elements, the QoS indicator system of airborne software service is designed with corresponding QoS strategies for each indicator. On this basis, the airborne software service QoS system model is proposed to achieve multi-level and multi-faceted quality assurance of airborne software service system capabilities. By constructing different service failure scenarios, it is verified that the proposed airborne software QoS system model can objectively measure the real-time operation status of airborne software services, and ensure the stable and reliable operation of airborne software services through strategy implementation, thereby effectively improving service quality, ensuring efficient completion of tasks and achieving high availability of airborne software service architecture..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 66 (2025)
Unmanned Aerial Vehicle Image Rotation Invariant Matching Based on Multi-scale Feature Fusion
LIU Yun, LI Ziqian, BAN Yanwamen, CHEN Weitai, and CHEN Shan
UAV image matching occupies a central position in UAV image processing, and orientation estimation is an important part of performing rotation invariant matching. However, due to the inability to specify the standard orientations of the UAV image feature points, the current matching method still suffers from large orieUAV image matching occupies a central position in UAV image processing, and orientation estimation is an important part of performing rotation invariant matching. However, due to the inability to specify the standard orientations of the UAV image feature points, the current matching method still suffers from large orientation estimation errors, resulting in low matching accuracy. A Rotation Invariant Matching Network (RIMN) based on multi-scale feature fusion is proposed for UAV images, in which the multi-scale featureextraction module is used to aggregate rich semantic features of the images and the Transformer self-attention block is used to extract robust features in the weakly textured regions of the image. Meanwhile, a double constrained loss function is designed to improve the orientation estimation accuracy of the feature points. Finally, image matching comparison experiments under different rotation angles is set up. The qualitative and quantitative results show that this method has better rotation invariant matching performance..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 73 (2025)
MRE-ADT Optimization Design for Accelerated Degradation Test Under Weibull Distribution
QI Yang, and SUO Bin
Aiming at the problem that most optimized designs for accelerated degradation tests do not consider the impact of cognitive uncertainty introduced by different sample sizes on test results, a new method for optimal design of accelerated degradation tests under Weibull distribution is proposed. A deviation index is consAiming at the problem that most optimized designs for accelerated degradation tests do not consider the impact of cognitive uncertainty introduced by different sample sizes on test results, a new method for optimal design of accelerated degradation tests under Weibull distribution is proposed. A deviation index is constructed to characterize the cognitive uncertainty caused by different sample sizes. Based on this, an accelerated degradation test optimization design model with the Minimum Relative Error (MRE) as the goal is established. The model takes the total sample size, the number of accelerated stress levels and the proportion of sample distribution as design variables. The solution algorithm of the optimization model is given, and the proposed method is applied to the optimized design of accelerated degradation test of a certain type of laser, which shows the effectiveness of the method..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 79 (2025)
Shadow Removal of Aerial Photography of Pavement Based on Generative Adversarial Network
HAN Jianfeng, JIN Congying, SONG Lili, and ZHAO Yuechen
Using UAV aerial photography to collect pavement images can effectively improve the efficiency of road health detection. However, due to the influence of aerial photography angle and sunlight change, the long shadow produced by UAV aerial photography image will cover up the pavement damage information and affect the acUsing UAV aerial photography to collect pavement images can effectively improve the efficiency of road health detection. However, due to the influence of aerial photography angle and sunlight change, the long shadow produced by UAV aerial photography image will cover up the pavement damage information and affect the accuracy of damage detection. To address this issue, a shadow removal algorithm for aerial photography of pavement based on Generative Adversarial Networks (GAN) is proposed. The algorithm introduces a multi-scale feature extraction module in the generative network to enhance the capability of image information feature extraction. At the same time, depthwise separable convolution is used in the structure of the discriminator network, which effectively reduces the sensitivity of the model to non-shadow areas and improves the discriminant effect of the discriminant network. In addition, an aerial photography of pavement shadow dataset under different pavements and lighting conditions is constructed to improve the generalization ability and robustness of the model. Experimental results show that the shadow-free result images obtained by the algorithm have several no-reference image quality assessment indexes improved, which can improve the accuracy and integrity of pavement damage detection and identification..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 86 (2025)
On Complex Airborne Electronic System Failure Probability Caculation with Common Cause Failure Consideration
SUN Zijing, LIU Wen, LIU Yuan, and WU Yuting
The airborne electronic systems of civil aircraft exhibit complex and comprehensive characteristics, and common cause failures will undermine the independence of failure events in the system, which may lead to deviations in the results of quantitative safety assessment. Aiming at the current problem of analyzing commonThe airborne electronic systems of civil aircraft exhibit complex and comprehensive characteristics, and common cause failures will undermine the independence of failure events in the system, which may lead to deviations in the results of quantitative safety assessment. Aiming at the current problem of analyzing common cause failures by qualitative methods in the field of civil aircraft, which relies heavily on the engineering experience of the evaluators, a failure probability algorithm for complex airborne electronic systems considering common cause failure is proposed. Firstly, an Alpha factor model is used to quantify the common cause failures. Then, it is integrated into the fault tree model based on the independence assumption to optimize it. Finally, taking the failure state of a typical complex airborne electronic system as an example, the failure probability with or without common cause failure is compared with each other. The results show that the common cause failure will have two orders of magnitude error influence on the quantitative safety evaluation results of complex airborne electronic systems, and the proposed method can quantify the common cause failure problem, which may provide a technical support for the further application of complex airborne electronic system of civil aircraft..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 93 (2025)
Comparison of Radiation and Scattering Performance of Antenna Arrays with Different Slot-Line Forms
QIU Feng, ZHAO Yongku, SUN Yongqiang, CHI Xiaomeng, and ZONG Xianzheng
In order to realize the ultra-wideband radar with phased array function, the balanced Vivaldiantenna is selected as the array unit, and the Vivaldi antenna array is simulated under the cyclic boundary conditions, which can realize the scanning angle of E-plane and H-plane in the frequency band of 4~12 GHz to reach In order to realize the ultra-wideband radar with phased array function, the balanced Vivaldiantenna is selected as the array unit, and the Vivaldi antenna array is simulated under the cyclic boundary conditions, which can realize the scanning angle of E-plane and H-plane in the frequency band of 4~12 GHz to reach ±60°, and the active standing wave ratio is less than 3. However, the balanced Vivaldi antenna array based on dielectric substrate is not easy to be installed in space-limited locations because of its high profile. So a pure metal stepped slot-line antenna with lower profile is designed. The third order pure metal stepped slot-line antenna is simulated under the periodic boundary conditions, and the same radiation performance as the balanced Vivaldi antenna can be realized. The scattering performance of the two antennas is compared with a 6×6 rectangular grid array as an example, and the overall scattering value of the pure metal stepped slot-line antenna is lower, which has a significant advantage in horizontal polarization. In the triple frequency bandwidth, the pure metal stepped slot-line antenna array has the same radiation performance as the Vivaldi antenna array, but the former antenna has a lower profile, higher structural strength, and better performance in low scattering performance..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 98 (2025)
Lightweight SAR Ship Recognition Based on Collaborative Compression Method
LI Xuanchao, HE Yonghua, ZHU Weigang, LI Yonggang, and QIU Linlin
Deep learning provides a new methods for SAR ship recognition, but most current deep learning models have a large number of parameters, making them difficult to run in resource-constrained environments. Model compression is a necessary condition for their implementation. Pruning is a commonly used model compression metDeep learning provides a new methods for SAR ship recognition, but most current deep learning models have a large number of parameters, making them difficult to run in resource-constrained environments. Model compression is a necessary condition for their implementation. Pruning is a commonly used model compression method. When the deep neural network is pruned too much, its accuracy will be significantly reduced, and traditional fine-tuning methods cannot restore it to a higher accuracy. For this reason, focusing on SAR ships as the research object, a network compression method that combines model pruning with knowledge distillation is proposed. Firstly, the overall architecture of the collaborative compression methodis defined, which replaces the fine-tuning process in model pruning with knowledge distillation to improve the accuracy of the pruned network. Then, a student self-reflection mechanism is introduced into the traditional knowledge distillation method to further enhance the performance of the target network. Experimental results show that the pruned network restored by the proposed knowledge distillation method performs better, and the performance of the network model after collaborative compression has reached the level of mainstream lightweight networks..
Electronics Optics & Control
- Publication Date: Feb. 20, 2025
- Vol. 32, Issue 2, 103 (2025)
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