样式: 排序: IF: - GO 导出 标记为已读
-
Design and Pricing of Maintenance Service Contract Based on Nash Non-Cooperative Game Approach J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-03-12 Chun Su, Kui Huang
Nowadays manufacturers are facing fierce challenge. Apart from the products, providing customers with multiple maintenance options in the service contract becomes more popular, since it can help to improve customer satisfaction, and ultimately promote sales and maximize profit for the manufacturer. By considering the combinations of corrective maintenance and preventive maintenance, totally three types
-
Robust Design of Sliding Mode Control for Airship Trajectory Tracking with Uncertainty and Disturbance Estimation J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-03-12 Muhammad Wasim, Ahsan Ali, Mohammad Ahmad Choudhry, Inam Ul Hasan Shaikh, Faisal Saleem
The robotic airship can provide a promising aerostatic platform for many potential applications. These applications require a precise autonomous trajectory tracking control for airship. Airship has a nonlinear and uncertain dynamics. It is prone to wind disturbances that offer a challenge for a trajectory tracking control design. This paper addresses the airship trajectory tracking problem having time
-
Overview of Radar Detection Methods for Low Altitude Targets in Marine Environments J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-03-12 Yong Yang, Boyu Yang
In this paper, a comprehensive overview of radar detection methods for low-altitude targets in maritime environments is presented, focusing on the challenges posed by sea clutter and multipath scattering. The performance of the radar detection methods under sea clutter, multipath, and combined conditions is categorized and summarized, and future research directions are outlined to enhance radar detection
-
Robust Adaptive Radar Beamforming Based on Iterative Training Sample Selection Using Kurtosis of Generalized Inner Product Statistics J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-03-12 Jing Tian, Wei Zhang
In engineering application, there is only one adaptive weights estimated by most of traditional early warning radars for adaptive interference suppression in a pulse reputation interval (PRI). Therefore, if the training samples used to calculate the weight vector does not contain the jamming, then the jamming cannot be removed by adaptive spatial filtering. If the weight vector is constantly updated
-
Requirements Ranking Based on Crowd-Sourcing High-End Product USs J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-03-12 Yufeng Ma, Yajie Dou, Xiangqian Xu, Qingyang Jia, Yuejin Tan
Based on the characteristics of high-end products, crowd-sourcing user stories can be seen as an effective means of gathering requirements, involving a large user base and generating a substantial amount of unstructured feedback. The key challenge lies in transforming abstract user needs into specific ones, requiring integration and analysis. Therefore, we propose a topic mining-based approach to categorize
-
Complex Adaptive System Theory, Agent-Based Modeling, and Simulation in Dominant Technology Formation J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-03-12 Ruihan Zhang, Bing Sun
Dominant technology formation is the key for the high-tech industry to “cross the chasm” and gain an established foothold in the market (and hence disrupt the regime). Therefore, a stimulus-response model is proposed to investigate the dominant technology by exploring its formation process and mechanism. Specifically, based on complex adaptive system theory and the basic stimulus-response model, we
-
DCEL: Classifier Fusion Model for Android Malware Detection J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-03-12 Xiaolong Xu, Shuai Jiang, Jinbo Zhao, Xinheng Wang
The rapid growth of mobile applications, the popularity of the Android system and its openness have attracted many hackers and even criminals, who are creating lots of Android malware. However, the current methods of Android malware detection need a lot of time in the feature engineering phase. Furthermore, these models have the defects of low detection rate, high complexity, and poor practicability
-
Method for Triangular Fuzzy Multiple Attribute Decision Making Based on Two-Dimensional Density Operator Method J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-03-12 Youliang Lin, Wu Li, Gang Liu, Dong Huang
Aiming at the triangular fuzzy (TF) multi-attribute decision making (MADM) problem with a preference for the distribution density of attribute (DDA), a decision making method with TF number two-dimensional density (TFTD) operator is proposed based on the density operator theory for the decision maker (DM). Firstly, a simple TF vector clustering method is proposed, which considers the feature of TF
-
A Self-Organization Formation Configuration Based Assignment Probability and Collision Detection J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-03-12 Wei Song, Tong Wang, Guangxin Yang, Peng Zhang
The formation control of multiple unmanned aerial vehicles (multi-UAVs) has always been a research hotspot. Based on the straight line trajectory, a multi-UAVs target point assignment algorithm based on the assignment probability is proposed to achieve the shortest overall formation path of multi-UAVs with low complexity and reduce the energy consumption. In order to avoid the collision between UAVs
-
An Extended State Observer with Adjustable Bandwidth for Measurement Noise J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-03-12 Shihua Zhang, Xiaohui Qi, Sen Yang
In this paper, a bandwidth-adjustable extended state observer (ABESO) is proposed for the systems with measurement noise. It is known that increasing the bandwidth of the observer improves the tracking speed but tolerates noise, which conflicts with observation accuracy. Therefore, we introduce a bandwidth scaling factor such that ABESO is formulated to a 2-degree-of-freedom system. The observer gain
-
Adaptive Detection of Range-Spread Targets in Homogeneous and Partially Homogeneous Clutter Plus Subspace Interference J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-02-12 Tao Jian, Jia He, Bencai Wang, Yu Liu, Congan Xu, Zikeng Xie
Adaptive detection of range-spread targets is considered in the presence of subspace interference plus Gaussian clutter with unknown covariance matrix. The target signal and interference are supposed to lie in two linearly independent subspaces with deterministic but unknown coordinates. Relying on the two-step criteria, two adaptive detectors based on Gradient tests are proposed, in homogeneous and
-
Persymmetric Adaptive Polarimetric Detection of Subspace Range-Spread Targets in Compound Gaussian Sea Clutter J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-01-24 Shuwen Xu, Yifan Hao, Zhuo Wang, Jian Xue
This paper focuses on the adaptive detection of range and Doppler dual-spread targets in non-homogeneous and non-Gaussian sea clutter. The sea clutter from two polarimetric channels is modeled as a compound-Gaussian model with different parameters, and the target is modeled as a subspace range-spread target model. The persymmetric structure is used to model the clutter covariance matrix, in order to
-
Short-Time Maritime Target Detection Based on Polarization Scattering Characteristics J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-01-24 Shichao Chen, Feng Luo, Min Tian, Wanghan Lyu
In this paper, a detection method combining Cameron decomposition based on polarization scattering characteristics in sea clutter background is proposed. Firstly, the Cameron decomposition is exploited to fuse the radar echoes of full polarization channels at the data level. Due to the artificial material structure on the surface of the target, it can be shown that the non-reciprocity of the target
-
A Survey on Joint-Operation Application for Unmanned Swarm Formations Under a Complex Confrontation Environment J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-01-17 Jialong Zhang, Kun Han, Pu Zhang, Zhongxi Hou, Lei Ye
With the rapid development of informatization, autonomy and intelligence, unmanned swarm formation intelligent operations will become the main combat mode of future wars. Typical unmanned swarm formations such as ground-based directed energy weapon formations, space-based kinetic energy weapon formations, and sea-based carrier-based formations have become the trump card for winning future wars. In
-
Two-Layer Formation-Containment Fault-Tolerant Control of Fixed-Wing UAV Swarm for Dynamic Target Tracking J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-01-17 Boyu Qin, Dong Zhang, Shuo Tang, Yang Xu
This paper tackles the formation-containment control problem of fixed-wing unmanned aerial vehicle (UAV) swarm with model uncertainties for dynamic target tracking in three-dimensional space in the faulty case of UAVs' actuator and sensor. The fixed-wing UAV swarm under consideration is organized as a “multi-leader-multi-follower” structure, in which only several leaders can obtain the dynamic target
-
Role-Based Bayesian Decision Framework for Autonomous Unmanned Systems J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-01-17 Weijian Pang, Xinyi Ma, Xueming Liang, Xiaogang Liu, Erwa Dong
In the process of performing a task, autonomous unmanned systems face the problem of scene changing, which requires the ability of real-time decision-making under dynamically changing scenes. Therefore, taking the unmanned system coordinative region control operation as an example, this paper combines knowledge representation with probabilistic decision-making and proposes a role-based Bayesian decision
-
Nonlinear Direct Data-Driven Control for UAV Formation Flight System J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-01-17 Jianhong Wang, Ricardo A. Ramirez-Mendoza, Yang Xu
This paper proposes the nonlinear direct data-driven control from theoretical analysis and practical engineering, i.e., unmanned aerial vehicle (UAV) formation flight system. Firstly, from the theoretical point of view, consider one nonlinear closed-loop system with a nonlinear plant and nonlinear feed-forward controller simultaneously. To avoid the complex identification process for that nonlinear
-
Minimum-Energy Leader-Following Formation of Distributed Multi-Agent Systems with Communication Constraints J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-01-17 Donghao Qin, Le Wang, Jiuan Gao, Jianxiang Xi
This paper concerns minimum-energy leader-following formation design and analysis problems of distributed multi-agent systems (DMASs) subjected to randomly switching topologies and aperiodic communication pauses. The critical feature of this paper is that the energy consumption during the formation control process is restricted by the minimum-energy constraint in the sense of the linear matrix inequality
-
Multicriteria Game Approach to Air-to-Air Combat Tactical Decisions for Multiple UAVs J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-01-17 Ruhao Jiang, He Luo, Yingying Ma, Guoqiang Wang
Air-to-air combat tactical decisions for multiple unmanned aerial vehicles (ACTDMU) are a key decision-making step in beyond visual range combat. Complex influencing factors, strong antagonism and real-time requirements need to be considered in the ACTDMU problem. In this paper, we propose a multicriteria game approach to ACTDMU. This approach consists of a multicriteria game model and a Pareto Nash
-
Ambiguity Function Analysis and Side Peaks Suppression of Link16 Signal Based Passive Radar J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-01-17 Luyang Bai, Jun Wang, Xiaoling Chen
Link16 data link is the communication standard of the joint tactical information distribution system (JTIDS) used by the U.S. military and North Atlantic Treaty Organization, which is applied as the opportunistic illuminator for passive radar in this paper. The time-domain expression of the Link16 signal is established, and its ambiguity function expression is derived. The time-delay dimension and
-
Formal Management-Specifying Approach for Model-Based Safety Assessment J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-01-17 Changyi Xu, Yiman Duan, Chao Zhang
In the field of model-based system assessment, mathematical models are used to interpret the system behaviors. However, the industrial systems in this intelligent era will be more manageable. Various management operations will be dynamically set, and the system will be no longer static as it is initially designed. Thus, the static model generated by the traditional model-based safety assessment (MBSA)
-
Scale Effect Removal and Range Migration Correction for Hypersonic Target Coherent Detection J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-01-16 Shang Wu, Zhi Sun, Xingtao Jiang, Haonan Zhang, Jiangyun Deng, Xiaolong Li, Guolong Cui
The detection of hypersonic targets usually confronts range migration (RM) issue before coherent integration (Cl). The traditional methods aiming at correcting RM to obtain Cl mainly considers the narrow-band radar condition. However, with the increasing requirement of far-range detection, the time band-width product, which is corresponding to radar's mean power, should be promoted in actual application
-
Design Methodology of a Mini-Missile Considering Flight Performance and Guidance Precision J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2024-01-16 Licong Zhang, Chunlin Gong, Hua Su, Da Ronch Andrea
The design of mini-missiles (MMs) presents several novel challenges. The stringent mission requirement to reach a target with a certain precision imposes a high guidance precision. The miniaturization of the size of MMs makes the design of the guidance, navigation, and control (GNC) have a larger-than-before impact on the main-body design (shape, motor, and layout design) and its design objective,
-
Classification of Knowledge Graph Completeness Measurement Techniques J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-12-06 Ying Zhang, Gang Xiao
At present, although knowledge graphs have been widely used in various fields such as recommendation systems, question and answer systems, and intelligent search, there are always quality problems such as knowledge omissions and errors. Quality assessment and control, as an important means to ensure the quality of knowledge, can make the applications based on knowledge graphs more complete and more
-
Accurately Tracking Hypersonic Gliding Vehicles via an LEO Mega-Constellation in Relay Tracking Mode J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-22 Zhao Li, Yidi Wang, Wei Zheng
In order to effectively defend against the threats of the hypersonic gliding vehicles (HGVs), HGVs should be tracked as early as possible, which is beyond the capability of the ground-based radars. Being benefited by the developing mega-constellations in low-Earth orbit, this paper proposes a relay tracking mode to track HGVs to overcome the above problem. The whole tracking mission is composed of
-
Deep convolutional neural network for meteorology target detection in airborne weather radar images J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Yu Chaopeng, Xiong Wei, Li Xiaoqing, Dong Lei
Considering the problem that the scattering echo images of airborne Doppler weather radar are often reduced by ground clutters, the accuracy and confidence of meteorology target detection are reduced. In this paper, a deep convolutional neural network (DCNN) is proposed for meteorology target detection and ground clutter suppression with a large collection of airborne weather radar images as network
-
Radar emitter signal recognition method based on improved collaborative semi-supervised learning J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Jin Tao, Zhang Xindong
Rare labeled data are difficult to recognize by using conventional methods in the process of radar emitter recognition. To solve this problem, an optimized cooperative semisupervised learning radar emitter recognition method based on a small amount of labeled data is developed. First, a small amount of labeled data are randomly sampled by using the bootstrap method, loss functions for three common
-
Scene image recognition with knowledge transfer for drone navigation J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Du Hao, Wang Wei, Wang Xuerao, Zuo Jingqiu, Wang Yuanda
In this paper, we study scene image recognition with knowledge transfer for drone navigation. We divide navigation scenes into three macro-classes, namely outdoor special scenes (OSSs), the space from indoors to outdoors or from outdoors to indoors transitional scenes (TSs), and others. However, there are difficulties in how to recognize the TSs, to this end, we employ deep convolutional neural network
-
Robust dual-channel correlation algorithm for complex weak target detection with wideband radar J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Dai Yan, Liu Dan, Li Chuanming, Wei Shaopeng, Hu Qingrong
In the scene of wideband radar, due to the spread of target scattering points, the attitude and angle of view of the target constantly change in the process of moving. It is difficult to predict, and the actual echo of multiple scattered points is not fully matched with the transmitted signal. Therefore, it is challenging for the traditional matching filter method to achieve a complete matching effect
-
Super-resolution parameter estimation of monopulse radar by wide-narrowband joint processing J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Cal Tianyi, Dan Bo, Huang Weibo
The angular resolution of radar is of crucial significance to its tracking performance. In this paper, a super-resolution parameter estimation algorithm based on wide-narrowband joint processing is proposed to improve the angular resolution of wideband monopulse radar. The range cells containing resolvable scattering points are detected in the wideband mode, and these range cells are adopted to estimate
-
Combat situation suppression of multiple UAVs based on spatiotemporal cooperative path planning J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Hu Lei, Yi Guoxing, Nan Yi, Wang Hao
Aiming at the suppression of enemy air defense (SEAD) task under the complex and complicated combat scenario, the spatiotemporal cooperative path planning methods are studied in this paper. The major research contents include optimal path points generation, path smoothing and cooperative rendezvous. In the path points generation part, the path points availability testing algorithm and the path segments
-
A UAV collaborative defense scheme driven by DDPG algorithm J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Zhang Yaozhong, Wu Zhuoran, Xiong Zhenkai, Chen Long
The deep deterministic policy gradient (DDPG) algorithm is an off-policy method that combines two mainstream reinforcement learning methods based on value iteration and policy iteration. Using the DDPG algorithm, agents can explore and summarize the environment to achieve autonomous decisions in the continuous state space and action space. In this paper, a cooperative defense with DDPG via swarms of
-
Research on strategic risk identification method of equipment system development based on system dynamics J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Wang Xinfeng, Wang Tao, Zhou Xin, Wang Yanfeng
Strategic management of equipment system development must attach importance to effective strategic risk management. Aiming at the identification of strategic risk of equipment system development, firstly, the source of strategic risk of equip-ment system development is analyzed and classified. Based on this, a causal loop diagram of strategic risk of equipment system development based on system dynamics
-
Strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Pan Li, Wu Zhonghong, Yu Minggang, Liu Jintao, Mei Dan
The key advantage of unmanned swarm operation is its autonomous cooperation. How to improve the proportion of cooperators is one of the key issues of autonomous collaboration in unmanned swarm operations. This work proposes a strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game. It starts with the requirement analysis of autonomous collaboration
-
Research on agile space emergency launching mission planning simulation and verification method J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Wu Feng, Liu Xiuluo, Wang Jia, Li Chao, Liu Ying, Su Jianbin, Zhang Ailiang, Wang Min
Space emergency launching is to send a satellite into space by using a rapid responsive solid rocket in the bounded time to implement the emergency Earth observation mission. The key and difficult points mainly include the business process construction of launching mission planning, validation of the effectiveness of the launching scheme, etc. This paper proposes the agile space emergency launching
-
Method of SLAS's ground track manipulation based on tangential impulse thrust J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Le Xinlong, Cao Xibin, Dai Yu, Wu Fan
Satellites with altitudes below 400 km are called super low altitude satellites (SLAS), often used to achieve responsive imaging tasks. Therefore, it is important for the manipulation of its ground track. Aiming at the problem of ground track manipulation of SLAS, a control method based on tangential impulse thrust is proposed. First, the equation of the longitude difference between SLAS and the target
-
Leader trajectory planning method considering constraints of formation controller J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Yao Dongdong, Wang Xiaofang, Lin Hai, Wang Zhuping
To ensure safe flight of multiple fixed-wing unmanned aerial vehicles (UAVs) formation, considering trajectory planning and formation control together, a leader trajectory planning method based on the sparse A* algorithm is introduced. Firstly, a formation controller based on prescribed performance theory is designed to control the transient and steady formation configuration, as well as the formation
-
TOA positioning algorithm of LBL system for underwater target based on PSO J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Xing Yao, He Zhangming, Wang Jiongqi, Zhou Xuanying, Chen Yuyun, Pan Xiaogang
For the underwater long baseline (LBL) positioning systems, the traditional distance intersection algorithm simplifies the sound speed to a constant, and calculates the underwater target position parameters with a nonlinear iteration. However, due to the complex underwater environment, the sound speed changes with time and space, and then the acoustic propagation path is actually a curve, which inevitably
-
Attention mechanism based multi-scale feature extraction of bearing fault diagnosis J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Lei Xue, Lu Ningyun, Chen Chuang, Hu Tianzhen, Jiang Bin
Effective bearing fault diagnosis is vital for the safe and reliable operation of rotating machinery. In practical applications, bearings often work at various rotational speeds as well as load conditions. Yet, the bearing fault diagnosis under multiple conditions is a new subject, which needs to be further explored. Therefore, a multi-scale deep belief network (DBN) method integrated with attention
-
Reliability analysis for wireless communication networks via dynamic Bayesian network J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Yang Shunqi, Zeng Ying, Li Xiang, Li Yanfeng, Huang Hongzhong
The dynamic wireless communication network is a complex network that needs to consider various influence factors including communication devices, radio propagation, network topology, and dynamic behaviors. Existing works focus on suggesting simplified reliability analysis methods for these dynamic networks. As one of the most popular modeling methodologies, the dynamic Bayesian network (DBN) is proposed
-
Anti-interference self-alignment algorithm by attitude optimization estimation for SINS on a rocking base J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Xue Haijian, Wang Tao, Cai Xinghu, Wang Jintao, Liu Fei
The performance of a strapdown inertial navigation system (SINS) largely depends on the accuracy and rapidness of the initial alignment. A novel anti-interference self-alignment algorithm by attitude optimization estimation for SINS on a rocking base is presented in this paper. The algorithm transforms the initial alignment into the initial attitude determination problem by using infinite vector observations
-
LSTM-DPPO based deep reinforcement learning controller for path following optimization of unmanned surface vehicle J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-11-03 Xia Jiawei, Zhu Xufang, Liu Zhong, Xia Qingtao
To solve the path following control problem for unmanned surface vehicles (USVs), a control method based on deep reinforcement learning (DRL) with long short-term memory (LSTM) networks is proposed. A distributed proximal policy optimization (DPPO) algorithm, which is a modified actorcritic-based type of reinforcement learning algorithm, is adapted to improve the controller performance in repeated
-
Design of Integral Sliding Mode Guidance Law Based on Disturbance Observer J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-10-04 Jianping Zhou, Wenjie Zhang, Hang Zhou, Qiang Li, Qunli Xia
With the increasing precision of guidance, the impact of autopilot dynamic characteristics and target maneuvering abilities on precision guidance is becoming more and more significant. In order to reduce or even eliminate the autopilot dynamic operation and the target maneuvering influence, this paper suggests a guidance system model involving a novel integral sliding mode guidance law (ISMGL). The
-
Robust Least Squares Projection Twin SVM and its Sparse Solution J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Shuisheng Zhou, Wenmeng Zhang, Li Chen, Mingliang Xu
Least squares projection twin support vector machine (LSPTSVM) has faster computing speed than classical least squares support vector machine (LSSVM). However, LSPTSVM is sensitive to outliers and its solution lacks sparsity. Therefore, it is difficult for LSPTSVM to process large-scale datasets with outliers. In this paper, we propose a robust LSPTSVM model (called R-LSPTSVM) by applying truncated
-
Range Estimation of Few-Shot Underwater Sound Source in Shallow Water Based on Transfer Learning and Residual CNN J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Qihai Yao, Yong Wang, Yixin Yang
Taking the real part and the imaginary part of complex sound pressure of the sound field as features, a transfer learning model is constructed. Based on the pre-training of a large amount of underwater acoustic data in the preselected sea area using the convolutional neural network (CNN), the few-shot underwater acoustic data in the test sea area are retrained to study the underwater sound source ranging
-
Low-Complexity Iterative Equalization for OTFS Based on Alternating Minimization J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Xin He, Haoxiang Jia, Yutong Sun, Zijian Zhou, Danfeng Zhao
To achieve robust communication in high mobility scenarios, an iterative equalization algorithm based on alternating minimization (AM) is proposed for the orthogonal time frequency space (OTFS) system. The algorithm approximates the equalization problem to a convex function optimization problem in the real-valued domain and solves the problem iteratively using the AM algorithm. In the iterative process
-
Mission Scheduling of Multi-Sensor Collaborative Observation for Space Surveillance Network J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Xi Long, Weiwei Cai, Leping Yang, Tianyu Wang
With increased dependence on space assets, scheduling and tasking of the space surveillance network (SSN) are vitally important. The multi-sensor collaborative observation scheduling (MCOS) problem is a multi-constraint and high-conflict complex combinatorial optimization problem that is non-deterministic polynomial (NP)-hard. This research establishes a sub-time window constraint satisfaction problem
-
Hound: A Parallel Image Distribution System for Cluster Based on Docker J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Zijie Liu, Junjiang Li, Can Chen, Dengyin Zhang
Current applications, consisting of multiple replicas, are packaged into lightweight containers with their execution dependencies. Considering the dominant impact of distribution efficiency of gigantic images on container startup (e.g., distributed deep learning application), the image “warm-up” technique which prefetches images of these replicas to destination nodes in the cluster is proposed. However
-
An Accurate Detection Algorithm for Time Backtracked Projectile-Induced Water Columns Based on the Improved YOLO Network J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Yasong Luo, Jianghu Xu, Chengxu Feng, Kun Zhang
During a sea firing training, the intelligent detection of projectile-induced water column targets in a firing video is the prerequisite for and critical to the automatic calculation of miss distance, while the correct and precise calculation of miss distance is directly affected by the accuracy, false alarm rate and time delay of detection. After analyzing the characteristics of projectile-induced
-
Influencing Factor Analysis of Interception Probability and Classification-Regression Neural Network Based Estimation J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Yi Nan, Guoxing Yi, Lei Hu, Changhong Wang, Zhenbiao Tu
The interception probability of a single missile is the basis for combat plan design and weapon performance evaluation, while its influencing factors are complex and mutually coupled. Existing calculation methods have very limited analysis of the influence mechanism of influencing factors, and none of them has analyzed the influence of the guidance law. This paper considers the influencing factors
-
Shuffled Frog Leaping Algorithm with Non-Dominated Sorting for Dynamic Weapon-Target Assignment J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Yang Zhao, Jicheng Liu, Ju Jiang, Ziyang Zhen
The dynamic weapon target assignment (DWTA) problem is of great significance in modern air combat. However, DWTA is a highly complex constrained multi-objective combinatorial optimization problem. An improved elitist non-dominated sorting genetic algorithm-II (NSGA-II) called the non-dominated shuffled frog leaping algorithm (NSFLA) is proposed to maximize damage to enemy targets and minimize the self-threat
-
Optimal Maneuver Strategy to Improve the Observability of Angles-Only Rendezvous J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Ronghua Du, Wenhe Liao, Xiang Zhang
This paper proposes an optimal maneuver strategy to improve the observability of angles-only rendezvous from the perspective of relative navigation. A set of dimensionless relative orbital elements (ROEs) is used to parameterize the relative motion, and the objective function of the observability of angles-only navigation is established. An analytical solution of the optimal maneuver strategy to improve
-
Robust Output Regulation Problem with Prescribed Performance for Nonlinear Strict Feedback Systems J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Zhu Haichao, Lan Weiyao
This paper investigates the problem of robust output regulation control with prospected transient property for strict feedback systems. By employing the internal model principle, the robust output regulation problem with a prospected property can be transformed to a robust stabilization problem with a new output constraint. Then, by constructing the speed function and adopting barrier Lyapunov function
-
Research on FMC Analytic Algorithm of PBN Track Transition Coding J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Guangming Zhang, Siqian Ren, Weiwei Zhao, Xiuyi Li
Airborne navigation database (NavDB) coding directly affects the result of analysis on the instrument flight procedure by the modern aircraft flight management computer (FMC). A reasonable flight track transition mode can improve the track tracking accuracy and flight quality of the aircraft. According to the path terminator (PT) and track transition characteristics of the performance based navigation
-
Discussion on Neighborhood Optimal Trajectory Online Correction Algorithm and Its Application Range J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Wanli Li, Jiong Li, Humin Lei
This paper presents a neighborhood optimal trajectory online correction algorithm considering terminal time variation, and investigates its application range. Firstly, the motion model of midcourse guidance is established, and the online trajectory correction-regenerating strategy is introduced. Secondly, based on the neighborhood optimal control theory, a neighborhood optimal trajectory online correction
-
Reliability Modeling of Mutual DCFP Considering Failure Physical Dependency J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Ying Chen, Tianyu Yang, Yanfang Wang
Degradation and overstress failures occur in many electronic systems in which the operation load and environmental conditions are complex. The dependency of them called dependent competing failure process (DCFP), has been widely studied. Electronic system may experience mutual effects of degradation and shocks, they are considered to be interdependent. Both the degradation and the shock processes will
-
Rolling Bearing Fault Diagnostics Based on Improved Data Augmentation and ConvNet J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Delanyo Kwame Bensah Kulevome, Hong Wang, Xuegang Wang
Convolutional neural networks (CNNs) are well suited to bearing fault classification due to their ability to learn discriminative spectro-temporal patterns. However, gathering sufficient cases of faulty conditions in real-world engineering scenarios to train an intelligent diagnosis system is challenging. This paper proposes a fault diagnosis method combining several augmentation schemes to alleviate
-
Instructions for authors J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05
Journal of Systems Engineering and Electronics, keeping abreast with the development trend of science and technology worldwide, reports the latest developments and achievements in both theoretical and practical aspects of systems engineering, electronics and related research areas. The journal welcomes high quality original papers from a wide range of countries. The scope of the journal includes systems
-
Selecting Suitable Key Supplier for Core Components During Smart Complex Equipment Central-Private Enterprises Collaborative Development Process: From Two Different Forms of Evaluation Information and Matching Perspective J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-09-05 Xin Huang, Xiaoyan Qi, Hongzhuan Chen, Xiang Cai
With the development of central-private enterprises integration, selecting suitable key suppliers are able to provide core components for smart complex equipment. We consider selecting suitable key suppliers from matching perspective, for it not only satisfies natural development of smart complex equipment, it is also a good implementation of equipment project in central-private enterprises integration
-
Unconditionally Stable Crank-Nicolson Algorithm with Enhanced Absorption for Rotationally Symmetric Multi-Scale Problems in Anisotropic Magnetized Plasma J. Syst. Eng. Electron. (IF 2.1) Pub Date : 2023-07-28 Yi Wen, Junxiang Wang, Hongbing Xu
Large calculation error can be formed by directly employing the conventional Yee's grid to curve surfaces. In order to alleviate such condition, unconditionally stable Crank-Nicolson Douglas-Gunn (CNDG) algorithm with is proposed for rotationally symmetric multi-scale problems in anisotropic magnetized plasma. Within the CNDG algorithm, an alternative scheme for the simulation of anisotropic plasma