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
Taking the kill element(projectile or its effective fragments)as the research object, with clear physical concept and rigorous mathematical deduction, the current kill probability model of the kill element is classified into four categories, while the conditions and differences of each respective application are clarified; furthermore, the deficiency of the current national military standard in this respect, as well as the necessity of adoption logarithmic normal law in the evaluation of the army ammunition kill probability is also demonstrated.
The detection and tracking of maneuvering weak targets is a difficult problem in the current research. However, when detection and tracking maneuvering weak targets with the high pulse repetition frequency (HPRF) radar, the problems such as range ambiguity, target maneuvering and low observability are to be faced, which complicates this issue even further. In this paper, the current situation of maneuvering weak targets detection and tracking with HPRF radar is analyzed in detail, and the key difficulties of this problem are summarized. Combined with the previous research, the specific and feasible research directions and ideas are given, and the key technologies such as the construction of fuzzy measurement likelihood function, the discrimination of target loss and disappearance, the effective division of "homologous" targets, and the importance evaluation of out of sequence sub-measurements are extracted, which can provide a reference for the detection and tracking of maneuvering weak targets with the HPRF radar.
Network Information System of Systems(NISoS) is the latest stage and the main starting point for our national military information construction. Information oriented is one of the main characteristics of NISoS and information war. Seizing the information superiority will capture the "commanding height" of the war. This paper studies the concept connotation, measure framework and method of information superiority for NISoS. It is of great significance to reveal the information oriented and superiority mechanism of NISoS, evaluate the information ability and level of NISoS, and guide the designing and construction of NISoS.
Aiming at the problem of simple model in the analysis of effective area of bistatic sonar, this paper puts forward the calculation method of bistatic coverage area under the condition of uneven target intensity, and draws the conclusion of blind area and optimal bistatic configuration. Through the simulation calculation, it is found that the coverage area of the bistatic base changes in a butterfly shape with the change of the submarine course, and the bistatic base has an advantage over a single equivalent base only in a specific area when working. This area is usually referred to as the dominant area, and the baseline distance of the blind area in the dominant area is obtained through the simulation calculation. After the submarine is discovered, it usually escapes within a certain approximate angle. Through the simulation calculation, it is found that the bistatic base has the advantage of distance and area, but the two can not be combined. The choice based on the actual situation can provide theoretical reference for the use of the bistatic base at the present stage, which has certain military significance.
At present,tactical virtual simulation training emphasizes the trainees' multi-dimensional perception, high immersion and combat experience, so as to achieve the positive transfer of combat skills. In this paper, combined with the characteristics of land unit tactical training and the behavior law of trainees, aiming at the requirements of human-computer interaction in land unit tactical virtual simulation training, the design, strategy, process, implementation significance and training value of multi-human and multi-modal human-computer interaction of land unit tactics are studied, and the virtual simulation training of land unit tactics based on multi-mode human-computer interaction is explored. The new method further promotes the improvement of combat capability of land units.
Intelligence technology has been widely and deeply applied in the field of naval warfare, which will bring about a new form of intelligent naval warfare in the future. This paper analyzes the combat style, characteristics and winning mechanism of intelligent naval warfare from the development of naval warfare. Studying the current situation of intelligent technology development in the military field at home and abroad, the problems and challenges in the construction of intelligent naval warfare equipment are put forward. Finally, some suggestions on the development of intelligent naval warfare equipment are proposed to meet the requirements of cross-domain coordination, agile command and precise control, which can provide theoretical guidance and technical support for effectively shaping the situation and winning the future intelligent naval warfare and promoting the development of maritime warfare by leaps and bounds.
Considering to the frequent operational use, efficient mission and intense confrontation of main battle air force, the paper gives a methord of air force size requirements based on wargaming, the method is used to analyze the large sample troop formation scheme based on single and many factors rotation experiments, and build the command decision effect evaluation models to evaluate satisfaction between the results of deductions and the operational objectives, finally get the air force size requirements in the typical task.
In view of the war game against deduction right stage collapsed body joint fire mission planning problem as the breakthrough point, the paper studies the feasibility of the intelligent algorithm, has designed with many intelligent evolution is the design idea of swarm intelligence optimization algorithm, at the same time, in view of the characteristics of joint fire damage design confrontation simulation platform, through the computer iterative evolution deduction output optimization agent, and analyzed the structure characteristics of the corresponding optimal mission planning, to prove the effectiveness of the algorithm. The experimental analysis shows that this algorithm has a comprehensive advantage over manual task planning when applied to joint firepower strike task planning, and can effectively combine with military chess confrontation and deduction, and achieve the application purpose of intelligent algorithm for man-machine combination and intelligent decision by optimizing task planning to assist commander decision-making.
In order to deal with the saturation attack from enemies and improve the defense capability of important targets effectively, this paper proposes the concept of unmanned aerial vehicle (UAV) swarm interception system on the basis of unmanned technology. Then, the system design is conducted succeed by specific operational conception of UAV swarm interception system in view of the possible attack from the enemy such as cruise missiles, UAV swarms, artillery shells, etc. On that basis, a summary of the key technologies on the building and operation of UAV swarm interception system are discussed, in which the research and manufacturing of UAV, system structure, swarm awareness and information fusion, swarm control and intelligence, mission planning, swarm release and recovery replenishment are included. The feasibility and related problems of the technology application are also addressed in order to lay the foundation for the further study.
Under the new leadership in the army command system, logistics support elements have been integrated into the Theater Joint Command Center. Scientific evaluation of logistic support factors can provide decision support for joint commanders. This paper taking logistics material support as an example proposes a three-dimensional vector analysis model of wartime material support in terms of quantity, space-time and military intent by studying the basic theory of military logistics support, and analyzes its results and applications. Finally, the decision-making model of logistics command is obtained according to the importance degree of logistics materials, supply echelons of troops and operational stages.
Acoustic scene classification is one of the hot topics in the field of computer hearing. Compared with computer vision, the cost of audio data collection and annotation in specific scenes is relatively high. How to use limited acoustic scene audio to obtain higher classification accuracy has become the focus of current research. In this paper, using deep learning technology, combined with the lightweight network mobilenetv2 and Mel spectral features, based on the urban scene classification dataset (urbansound8k), three kinds of data augmentation technologies, SpecAument, Mixup and Cutmix are carried out. The results show that the Cutmix augmentation technology can improve results by 0.71%. The separated Mixup and SpecAument augmentation technology inhibite the classification results. The best test result is obtained by combining SpecAument with Cutmix augmentation technology, and the classification accuracy reaches 97.097%. Secondly, through the comparison of F1 score of all kinds of labels under the optimal scheme and the distribution map using T-SNE, it is found that the two have a good corresponding relationship, which indicates that T-SNE technology is suitable for dimension reduction and distribution observation of Mel Spectrogram.
In this paper, the numerical calculation method is used to study the functional relationship between the electronic jamming load power and jamming distance when the electronic jamming load carried by the UAV produces a jamming effect on the surface ship radar, and the influences of the radar cross-section area and suppression coefficient of the UAV on the electronic jamming load power are analyzed. To determine the optimal flight altitude of the UAV, the radial distance between the UAV and surface ship, and the maximum flight altitude of the UAV when the electronic jamming load has a jamming effect are studied. Moreover, the influence of wave velocity width on radar resolution range is analyzed. The results of this paper can provide theoretical foundations for the selection of electronic jamming load and the design of the UAV formation spacing distance.
Open source intelligence is a key component of modern intelligence system, and its analysis is an important part of intelligence work. Among them, the open source text data are most massive and valuable, but are hard to process when they are mainly semi-structured and unstructured data. Therefore, a low-cost automated text information processing method is critical. This paper proposes an open source text intelligence automated processing framework, which is based on distant supervised relation extraction. It automatically generates training data by aligning entities to a remote database, reducing the cost of manual labeling. Moreover, a relation extraction model combining BiGRU network and dual attention mechanism is proposed, which can effectively improve the extraction performance and reduce the influence of noisy data. Finally, an experiment is organized on the Chinese person relation dataset, and the results show that the extraction performance of our model is significantly improved compared to the baseline models. The results show that the model is effective and can support the analysis of open source intelligence information.
In view of the problem that the maximum flight speed of a certain type of unmanned aerial vehicle (UAV) may not be able to reach under the influence of engine intake and exhaust, the whole aircraft aerodynamic drag reduction optimization design was carried out, focusing on the optimization of key aerodynamic components such as wings and tail. Through the design of a variety of different optimization schemes and calculation and analysis, the optimal scheme was finally determined. The aerodynamic drag reduction optimization design effect is obvious, and the lift-drag ratio increases by about 0.44 at the maximum speed state, and the aerodynamic drag is significantly improved. At the same time, the UAV external load installation configuration was calculated and analyzed, and the wind tunnel test was used to verify it. It was determined that mounting the mission load at the wingtip has the least impact on the lift and drag characteristics of the whole aircraft.
Airborne MAD is one important technology method in air anti-submarine, which completes the detection by loading optical pumping magnetometer. According to the optical magnetic model and equivalent source method, the simulation research of airborne MAD is carried out based on the magnetic dipole array model. One conception of airborne MAD envelope is founded, which can analyze the role of airborne magnetic confrontation visually. By changing the submarine course, the magnetic moment composition, the latitude, and the detection height, the general role of detection and avoiding is deduced, which can provide reference value for tactical usage of the antisubmarine plane or submarine in anti-submarine warfares.
In order to build a large and realistic simulation training battlefield environment, the characteristics of Genesis simulation software are analyzed. The composition and main functions of flight simulation visual simulation system based on Genesis are described. The process of developing flight simulation visual simulation system by using Genesis is emphatically discussed. The content and method of comprehensive construction of visual database are given to realize the military target and meteorology in virtual scene. The real-time driving and controlling of environment and special effects are discussed in detail, such as block dynamic calling technology, 3D texture mapping technology and FootPrint technology. The practical application results show that the system has high simulation degree, good real-time performance and strong stability, which provides an important platform for the in-depth promotion of flight simulation training to actual combat.
In order to analyze the influence of ground effect on the tail flow field during aircraft take-off and landing, this paper uses Computational Fluid Dynamics (CFD) technology to simulate the tail flow field of a foreign aircraft based on Delaunay unstructured mesh generation method, using RANS equation, realizable k-ε turbulence model and ROE discrete grid, and using coupling implicit algorithm to simulate the wake flow field under two conditions of ground effect or not. In this paper, the tail pressure field is analyzed under the condition that the flap is extended and taxiing at 7° angle of attack with tail injection. The simulation results show that: under the two conditions, the pressure of the tail flow field presents a unilateral downward trend in the axial direction, and a downward trend from the center of the caudal vertebrae to both sides in the transverse direction; in the case of ground effect, the pressure at each point in the axial and transverse directions is greater than that in the case of no ground effect; the difference between the pressure with and without ground effect at the same point in the core area of the wake field is within 300 Pa, and the effect of ground effect on the pressure of wake field is small. The results verify the rationality and effectiveness of the simulation calculation, which is in line with the real situation, and provide a certain theoretical reference for the safe take-off and landing of aircraft.
Based on the airborne muti-plane coordination, this paper introduces the basic concept and present status of development of complex tracking, after which the centeral currency structure of complex tracking using for the fighter fleet fighting is proposed. In the meanwhile, considering the difference of the carrier based on fleet's data link communication capabilities, the above currency structure can be derivative into two structures of reciprocal currency structure and dynamic master-slave currency structure with principles showing and characters analyzing in the corresponding chapters. Furthermore, according to the above results of characters analyzing, this paper gives advice of how to use and choose the right one of the two central derivative structures on the three classic fighting scenes of anti-invisible fighter sweep on the sea, wide area surveillance & fire strike on the sea and low altitude sea-skimming target intercepting. Lastly, it draws a conclusion of the currency structure of complex tracking as well as makes new expectation.
Based on the analysis of the system architecture of the intelligent optimization system of combined fire strike, the key technologies related to intelligent optimization of joint fire strike are elaborated in detail: task planning translation algorithm, antagonistic deduction algorithm, system value evaluation algorithm and co-evolution algorithm. The design principle of co-evolution algorithm, the structure of "co-evolution+competition" mechanism, the internal structure of the intelligent body, and the methods of mutation and survival of the fittest are emphatically introduced. Then, through the system design experiment, the optimization of system internal parameters such as redundancy, alternative task planning, annihilation threshold and internal and external network adjustment parameters are tested respectively, and the advantages of co-evolution algorithm as an intelligent algorithm are analyzed. Finally, the effectiveness and application of the system are proved by comparing with the comparison algorithm.
By the using of new technology, the anti-ship missile has showed great progress in breaking through air defenses by low height,high speed,stealth technology, and electronic countermeasure. After analyzing the existing method of intercepting anti-ship missile on the combat ship, the paper proposes a new architecture of anti-air fire control system to enhance the weapon system's precision and cooperation ability. It combines the transmitting array loading on combat ship with receiving array loading on unmanned craft to form a bistatic MIMO(Multiple Input Multiple Output) system. The combat ship can process the signals from unmanned ship by high performance computing server, so the new system shows great advantage in detecting accuracy and resolving power, then carries out maneuver identification, multi-dimensions feature extracting, and jamming processing. Lastly customs IMM(Interacting Multiple Model) fire control filter architecture for different weapon terminals. The new anti-air fire control system would enhance the ability in low angle detecting, information fusion and anti-saturation attack, and provide a new technical approach for the design of ship's anti-missile system.
In view of the problem of large calculation amounts in the traditional calculation method of submarine-launched ballistic missile target control. First, the influence of earth rotation and earth oblateness on the actual range of submarine-launched ballistic missile is analyzed. Then, through the selection of input and output variables, the preprocessing of input and output data and the design of training set, the fast calculation model of submarine-launched ballistic missile target control is established based on back propagation neural network. The simulated results show that the fast calculation model of submarine-launched ballistic missile target control has high calculation accuracy and fast calculation speed. The fast calculation model can provide technical support for the aid assistant decision-making of military operation of submarine-launched balistic and the rapid implementation of the anti-missile defense.
The lateral line is a unique sensory organ of fishes and amphibians. Fish can rely on the lateral line organs to realize communication, obstacle avoidance, navigation, predation and group swimming. Aiming at the problem that the underwater unmanned vehicle (AUV) cannot accurately perceive the target position and the surrounding water environment when it is affected by light and noise, based on the study of fish lateral line perception mechanism, combined with fluid dynamics, a pressure-based the bionic lateral line theoretical model of the field uses CFD technology to simulate the pressure change of the flow field caused by the vibration source at different positions, and summarizes the change law of the surface pressure of the simulated AUV model, which provides a new perspective for the positioning and navigation of the underwater vehicle.
In order to provide the theoretical reference and technical support for unmanned aerial vehicle (UAV) conceptual design, this paper studies the aerodynamic characteristics of long endurance UAV. The three dimensional (3D) geometrical models of combat UAVs with and without missiles are developed firstly with CATIA. Then, the aerodynamic characteristics of the UAV, including pressure contour, isosurface of velocity and lift-to-drag features, are derived by means of three dimensional computational fluid dynamics (3-D CFD) analysis with FLUENT. Conclusions are drawn from the simulation results: 1) the total mass of the UAV can reach 2280 kg, 123.5% more than that of MQ-1, with cruising altitude of 3 km, at the speed of 80 m/s and the angle of attack of 3°; 2) the UAV with missiles has 1.3% lower lift coefficient, 5.8% higher drag coefficient and 6.7% lower lift-to-drag ratio than the UAV without missiles.
In view of the diversity of analysis methods of projectile launching strength, a new method of projectile strength analysis considering resistance effect under variable bore pressure is proposed. Taking the launching strength analysis of a concave projectile as an example, Matlab and ANSYS Workbench are applied. The simulation results show that the maximum equivalent stress and equivalent elastic strain of the projectile are not directly proportional to the change of chamber pressure, and there are some waves in the process of launching. The method proposed in this paper can provide a new way for the analysis of the launch intensity of the projectile.
