中国科技核心期刊
中国指挥与控制学会会刊
军事装备类重点期刊
中国指挥与控制学会会刊
军事装备类重点期刊
中国指挥与控制学会会刊
军事装备类重点期刊
Information technology has encountered a bottleneck in the generation of combat effectiveness, which forces people to seek solutions through intelligent technology. At present, artificial intelligence has also successfully used artificial intelligence technology. They have also made some breakthroughs at the tactical level in the military field. However, at the campaign level, it has the greatest need to assist combat planning and decision-making, and also has encountered the most difficulties. From the current point of view, to realize the intelligent planning at the campaign level, we must not be blindly optimistic. We must scientifically demonstrate the development thinking and path, and gradually achieve the goal in stages, steps and fields by learning from successful cases, returning to the essence of artificial intelligence and relying on mature technology.
In order to improve the environmental adaptability of Unmanned Surface Vessel (USV) in unknown waters and guarantee its collision avoidance planning ability for autonomous navigation, this paper puts forward a collision avoidance planning algorithm based on navigation radar echo videos, which referred to the ideas of grid method and artificial potential field method. Firstly, the raster construction of the near area environment of USV is carried out based on navigation radar videos. Then, based on the constructed rasterized environment, the artificial potential field method is used for collision avoidance planning. Finally, through simulation and experimental verification, the experimental results show that this algorithm can support the autonomous navigation of USV by relying on radar video images, and guide USV to the target points.
In order to accurately and rapidly identify the combat task from dynamic and time-varying battlefield environment, deep learning theory is used to construct a combat task intelligent identification model. Based on the gated recurrent unit network, the bidirectional propagation mechanism is introduced to build a multi-layer temporal network, and the residual mechanism is adopted to prevent the degradation of model performance caused by the deepening of neural network layers, and then the attention mechanism is applied to capture the interrelated important situation characteristics, and the fusion of prior knowledge and output of the network ensures the accuracy of combat task identification when the temporal information is short. Experimental results show that the proposed method has a good effect.
Considering the uncertain and dynamic characteristics of synthetic detachment operations, based on the game theory, a dynamic weapon target assignment model under incomplete information is built, and an offensive and defensive payment matrix is established. The Nash equilibrium under incomplete information is solved by genetic algorithm. Finally, the feasibility of the model and algorithm is proved by case analysis and software simulation. The optimal weapon target assignment scheme can be quickly obtained by combining game theory with genetic algorithm, which effectively improves the actual combat capability.
Aiming at the challenges of commander’s critical information requirements generation, this paper analyzes the mechanism of knowledge graph in the commander’s critical information requirements generation, and puts forward a commander’s critical information requirements generation method. It can provide technical references for improving the quality and efficiency of the commander’s critical information requirements generation.
According to the characteristics and the development status of military training system of U.S. forces, aimed at the characteristics and requirements of the military training in new period, this paper puts forward the system capability requirements of warship tactical training information system based on the combination of virtual and reality. It contains the basic functions, basic service capabilities and comprehensive business service capabilities. It can be used in construction of warship tactical training system based on virtual-live training, providing a certain reference for the organization of virtual-live training.
Jamming environment classification is precondition of objectively evaluate anti-jamming performance of anti-ship missile. The fundamentals of complex electromagnetic environment classification are analyzed, and classification conception based on case knowledge is proposed; the contents of case knowledge are classified, the obtain method and standardization expression of case knowledge are studied, and also the method convert knowledge to database; classification software has been developed found on case knowledge base, and classification result is obtained through reasoning of a mass of simulation cases by the software. Production of this paper can provide effective method and tool support.
The effectiveness evaluation of coastal positions is premised on the design of effectiveness evaluation indicator system of coastal positions is an essential precondition which plays an important role in coastal positions construction. Based on researches of indicator system, aiming at the problem that the current generation method of position indicator system establishing the system from one singe perspective and sparsely researches in capability analysis, the design of effectiveness evaluation indicator system of coastal positions based on capability and structure is proposed. The decomposition mode of capability indicator and structure indicator is described in detail. UAF(Unified Architecture Frame) is used to describe relationships between indicators and establish efficiency indicators. Besides, the feasibility of the method is verified by an example.
Equipment in-service assessment index system is the basis of in-service assessment data acquisition and comprehensive evaluation. Building a scientific and reasonable index system will help to improve the quality of in-service assessment. Taking typical space equipment as the research object, combined with the characteristics of space equipment, this paper puts forward key in-service problems, uses tree analysis technology to analyze key in-service problems and obtains the initial index system. The grey correlation analysis method and expert consultation method are used to screen and optimize the indicators. Finally, the evaluation application verifies the rationality and effectiveness of the index system, which can provide a method reference for the construction of in-service assessment index system of typical space equipment.
In future information warfare, psychological warfare will have a very important role and status. It will be a hot spot in the research of combat mode innovation, and intensive and detailed research will be needed. Based on the analysis about the characteristics of the psychological warfare, this paper studies the psychological warfare requirement for target selection activities. Starting with the pattern of psychological damage, the target classification of psychological warfare is put forward; it can be divided into three categories: war will targets, war strength targets and war potential targets. And the psychological warfare targets are sequenced. All these researches can provide technology reference for target analysis, selection and sequencing of psychological warfare.
In highly complex aircraft supporting process on flight deck, it is critical to achieve a fast-response and reliable scheduling to improve shipboard launch capability. In this paper, we analyze the characteristics of the aircraft supporting missions on flight deck, and construct a Markov decision process (MDP) for the aircraft commanding and scheduling. By deeply combining multi-agent technologies with reinforcement learning, it enables efficient multi-aircraft parallel scheduling scheme optimization and generation. Simulation results show that the proposed method satisfies the requirement of dynamic aircraft supporting optimization.
In order to solve the problem of artillery remote fire damage assessment, an artillery remote fire damage assessment model is constructed. Based on the analysis of the characteristics of artillery long-range fire damage assessment, a damage model based on Bayesian network theory is constructed on the premise of multi-source decision-making damage information. According to historical data, the network parameters of the model are determined by using MLE parameter learning. The applicability of the model is proved by example data. The results show that this model can accurately assess the damage level of artillery remote fire on the target, and provide support for the accurate assessment of damage effect of artillery remote fire.
Based on the complex network theory, this paper studies the coordination relationship between military and police anti-terrorism teams in urban anti-terrorism operations, taking anti-terrorism drills in G city as the background. We use tree network, WS small-world networks and scale-free networks respectively to build joint anti-terrorism operations unit no coordination between the traditional structure of the model, only intelligence sharing information fusion structure model, only end synergy of firepower at quarterback collaborative structure model and intelligence sharing and end together at quarterback integration structure model, analyzes the static characteristic index and network efficiency coefficient of the urban anti-terrorism action model, and compares the combat efficiency of the four models, to provide a guarantee for improving the ability of joint military and police disposal tasks handling in joint anti-terrorism actual combat.
In order to realize the efficient operation of the joint battle simulation experiment system and better guide the innovation of joint battle simulation experiment application, from the basic ideas, key technologies and method systems, this paper has carried out in-depth research on the four contents of simulation control, time management, data interaction and model scheduling during the operation of the simulation experiment engine, and obtains a set of feasible operation strategy of simulation experiment engine which lays a theoretical and methodological foundation for the design, development and operation of the simulation experiment engine, and satisfies the actual needs of the simulation experiment engine that can be integrated, interconnected, expandable.
This paper focuses on the requirements of weapon equipment demonstration, equipment system combat effectiveness evaluation, equipment combat application research in the field of air defense and anti-missile operations of naval fleet. The author analyzes the typical combat process of air defense and anti-missile, puts forward the framework of simulation system, designs the model system of warship formation air defense and anti-missile, forms a general warship formation air defense and anti-missile simulation system, and carries out simulation application.
In view of the lack of dynamic, integral and confrontational problems in the current combat plan evaluation, this paper proposes a plan evaluation method process based on combat experiments. On the basis of summarizing the typical evaluation methods of combat plans, this article points out the common problems. In order to solve these problems, this paper uses the entropy method to simplify the set of indicators, uses the wargame system to deduce the combat plan, uses the data obtained from the deduction to quantify the evaluation indicators, and uses the improved entropy method and the TOPSIS comprehensive evaluation method to achieve rapid selection of the combat plan. The research on the evaluation method of the battle plan provides some reference.
An operating modes of space-borne SAR recognition method based on CGRU-SVM is proposed to solve the problem of the low recognition accuracy and bad timeliness of traditional space-borne SAR operating modes inversion methods. The method takes the impulse peak I/Q data of the SAR signal as input, extracts the good feature vector of the space-borne SAR signal for classification by using adaptive learning ability of the deep learning network, and finally realizes the "end-to-end" fast and effective identification from original SAR signal to the operating modes of space-borne SAR which reducing the influence of human factors and the complexity of the recognition process. CGRU-SVM model has better training efficiency and recognition accuracy compared with the traditional inversion method and other network models by contrast experiments, and its average recognition accuracy can reach above 91%.
The source, production and application of the test data of weapon equipment are analyzed, and the future application requirements of the test data in the future are put forward. Finally, the data scheme of weapon equipment test based on metadata traceability is put forward in order to improve the value of data application, to eliminate the isolated island effect between information systems and increase the data sharing between different weapon equipment systems.
The remote maintenance and support technology of our army’s electronic information equipment is still in a relatively backward stage, and there are some design deficiencies in data acquisition of active equipment, establishing a unified data acquisition standard system of electronic information equipment and forming a relatively mature and easy-to-use data acquisition system provide rich and comprehensive data support for realizing remote fault prediction and analysis based on big data, which is of great significance to improve the informatization remote maintenance and support ability of our military equipment. By selecting representative complex information equipment as the research object, this paper forms maintenance support data sets such as information equipment operation conditions, operation status and use environment, studies data preprocessing and other technologies under edge computing, and completes the design of maintenance support data acquisition system and the definition of acquisition interface. Through the simulation verification environment of electronic information equipment remote maintenance support prototype system, the collection and processing of maintenance support data of typical information equipment are verified, and the information can interact with the remote maintenance terminal.
Due to different light, temperature, weather and season, the appearance of the same region usually varies greatly. The diversity of colors is one of the main challenges in designing digital camouflage schemes. In order to solve the problem that it is difficult to fuse the target and background in the camouflage process, this paper carries out the research of digital camouflage based on pix2pix, and uses STST(stain to stain translation) method to normalize the color of the background image, which not only retains the corresponding texture features, but also distributes the specific color in "pix2pix" generate digital camouflage patterns through in-depth learning under the framework. Compared with the existing digital camouflage design in algorithm and experiment, the fusion degree of digital camouflage pattern and background generated in this paper is significantly improved.
To explore the application prospect of digital twin technology in the field of weapon’s life-cycle cost management, this paper analyzes the basic concepts and characteristics of digital twin technology, as well as the motivation for introducing it into equipment life-cycle cost management. Focusing on reducing R&D costs and manufacturing costs, improving operation and maintenance efficiency, and building a closed-loop life-cycle cost management, the basic concept of the application of digital twin technology in the field of weapon life-cycle cost management is expounded. Based on this, the challenges and countermeasures for the application of digital twin technology in weapon life-cycle cost management are presented. The research results can be used for reference to promote the informatization and intelligent development of equipment life cost management and improve the efficiency of equipment funds.
With the subsequent evolution of 4G and the development of multi-carrier aggregation technology, there will be more and more demands for spectrum resources. 3GPP protocol has also done a lot of exploration and research on spectrum sharing. The channel sensing (Clean Channel Assessment, CCA) is required before any transmission on these unlicensed carriers, in order to make sure the harmony co-existence of LAA (License Assisted Access) with other radio access technology in the unlicensed band. An improper CCA threshold may cause buffer overflow of some base stations, if the base stations are heavily loaded with the traffics. Thus, to solve these problems, we propose an adaptive threshold adjustment method for CCA in the LAA down link. Both the load and transmission opportunities are concerned. The trend of the LAA throughput as the threshold varies is obtained, which guides the threshold adjustment. The co-existing between LAA and Wi-Fi is particularly tested. The results from system level simulation confirm the merits of our design.
The US Army believes that combat forces need to be reasonably organized in accordance with standard operating procedures, repeatedly practicing military decision-making processes, and properly using modern science and technology to support communications in order to successfully conduct mission command. This paper aims to explore the experience and methods of effective implementation of mission command by sorting out the underlying logic and detailed processes behind the design of standard operating procedures, the employment of military decision-making procedures, the integration of intelligence functions, as well as the rational strengthening of communication support in the opposing force of the US Army. Hopefully, it could invoke lessons learned and new thoughts for strengthening the study of adversary, deepening the understanding of mission command, and further promoting the innovation and development of command and control.
