In recent years, the breakthrough of machine learning based on deep reinforcement learning provides a new development direction for intelligent game confrontation. In order to solve the problems of slow convergence speed and great difference in training effect of heterogeneous multi-agent reinforcement learning algorithm in intelligent confrontation, this paper proposes a priori knowledge-driven multi-agent reinforcement learning game antagonism algorithm PK-MADDPG, and constructs a MADDPG model under the framework of double Critic. The model uses the experience first replay technique to optimize the prior knowledge extraction, thus achieving remarkable results in the training of game confrontation. In the national competition of MaCA heterogeneous multi-agent game confrontation, the paper compares the game confrontation results of PK-MADDPG algorithm with classical rule algorithm, and verifies the effectiveness of the algorithm proposed in this paper.

The capability assessment of the joint reconnaissance and early warning system provides the fundamental information for the joint combat commanders to execute combat planning and command and control. According to the urgent needs of the joint operations commander to analyze and evaluate the capability of the joint reconnaissance and early warning system, based on the basic scenarios and real-time deduction data of the joint combat wargame, this paper evaluates the joint reconnaissance and early warning system by combining the static capability boundary evaluation and the real-time combat effectiveness evaluation. According to the evaluation requirements, fifteen specific evaluation indicators from two categories of basic combat capability evaluation and real-time combat effectiveness evaluation are designed and constructed. And the connotation, extension and calculation method of each evaluation index are elaborated. Finally, based on the basic scenario data of the joint combat wargame system and the output data of the game model, this paper constructs the capability evaluation software tool for the joint reconnaissance and early warning system, which provides new ideas and new methods for the capability evaluation of the joint reconnaissance and early warning system to solve the key information requirements of the commander in the wargame.

This paper summarizes the origin, development and interrelation of system science systems, such as system engineering, system engineering and digital engineering. Based on the analysis of the development of underwater attack and defense systems at home and abroad, and in view of the main problems faced by underwater attack and defense systems in the development process, such as complex system operation mechanism and weak technical foundation, this paper expounds the necessity of applying the relevant theories of system science system to the construction and development of underwater attack and defense systems. From the perspective of system engineering, system engineering and digital engineering, the paper puts forward relevant development suggestions of underwater attack and defense system, which has certain military significance and theoretical value for the subsequent research of underwater attack and defense system.

Task allocation is one of the basic and key issues in the research of agent clusters. UUV clusters are limited by underwater detection and communication capabilities in task allocation. UUV individuals can only obtain partial information around them, and conventional global algorithms cannot be applied well. A task allocation algorithm based on deep reinforcement learning and distributed UUV cluster organizational structure is proposed. The algorithm first realizes the partial task allocation of each UUV individual, and then the information between adjacent individuals is consistent and coordinated, thus realizing the optimal task allocation of UUV cluster. Through the simulation experiment, the algorithm in this paper converges faster than the genetic algorithm, has less traffic and higher task allocation efficiency than the contract network algorithm, and the distributed architecture does not rely on the "command center". The UUV cluster system has higher robustness and higher task allocation reliability.

In view of the requirements of air defense equipment system construction and equipment development, take the air attack/anti air attack operation in the Russia-Ukraine military conflict in February 2022 as an example to analyze the key factors that affect the countermeasure effect, such as the attacker’s electronic jamming effect, the cruise missile penetration height, and the defender’s air defense and anti-missile weapon performance. Three exploratory experimental schemes are designed by using exploratory analysis combined with simulation. The influence of the above factors on the hit quantity of tactical ballistic missiles, cruise missiles and other munitions of the attacking side is quantitatively analyzed through simulation, and the development suggestions of the defense’s air defense and anti-missile equipment system, such as networked operations, integrated air defense and anti-missile are put forward, providing reference for the development, system construction and application of air defense and missile defense equipment.

The assessment of airfield runway destruction effectiveness and functional recovery time is of great importance in the field of operational assessment. In this paper, the criteria and methods of damage assessment of airfield runways are studied in the context of the sub-bomb against airfield runways and the benefits of striking airfield runways as a starting point. Firstly, the main purpose of attacking airport runway is blockade, and the damage assessment criteria of runway should focus on its time benefit. Then, it is concluded that calculating the minimum lifting window can only achieve the purpose of blockade of airport, and the optimal lifting window is needed to calculate the airport function recovery time. A direction search algorithm is proposed to search the optimal lifting window on the airport runway after striking, and an example is given.

This paper analyzes and combs the application and research status of artificial intelligence technology in the field of military intelligence, in order to provide reference for subsequent military intelligence research. This paper summarizes the development and application of artificial intelligence in military intelligence work from the aspects of intelligence analysis and military command decision-making. Based on the intelligence workflow, the military intelligence service model under artificial intelligence technology is analyzed. This paper systematically combs the research and development status of typical projects of intelligent intelligence systems in the United States, and analyzes the key development trends and technical difficulties of artificial intelligence in the military intelligence field.

With the development of range to the integration of test and training, its function has changed from evaluating single weapon equipment to the whole combat system. In order to construct a realistic system of system-level test and training environment, the concept of digital twin is introduced into the range, and the overall framework of digital twin range to construct a complete digital image of combat system is proposed. The key technologies such as intelligent measurement and control, computational test, intelligent decision-making and combat cloud are analyzed, and application cases of underwater attack and defense digital twin range are briefly offered. The study is hoped to provide a reference for the realization of system of system-level test and training under the condition of large-scale and high-frequency real combat.

On the basis of analyzing the development of underwater multi-platform cluster variable granularity situational awareness, this paper studies the system of systems and the synchronization of spatiotemporal evolution for multi granularity underwater situation awareness. Virtual physical artificial intelligence theory and method for multi granularity underwater situation awareness are proposed to establish the dynamic virtual physical neural network embedded with interpretation models of context and knowledge. Driven by spatiotemporal data and context information, multi granularity underwater situation awareness and synchronous situation evolution analysis across domains are realized to make collaborative intelligent decisions for underwater offensive and defensive confrontation tasks. Theoretical analysis and numerical results show that multi granularity underwater situation awareness and synchronous situation evolution analysis can enhance information superiority by integrating cluster resources, with optimal involved functional domains and space-time scales. Our approach can provide a theoretical basis and technical reference for the construction and development of underwater all-around attack and defense systems.

Aiming at the problem that the PID control algorithm can not meet the requirement of tracking and docking of moving flange due to its slow response speed when controlling the LNG unloading arm, which has strong nonlinearity and time-varying system, the fuzzy control theory is introduced, and the fuzzy control algorithm based on experience and the fuzzy PID control algorithm which is combined with PID control are proposed and implemented respectively, which does not depend on the dynamic model of the LNG unloading arm. The two intelligent control algorithms are respectively applied to the LNG unloading arm of the test site. Taking a single joint as the test object, the performance test and the tracking test of the simulated moving target flange are carried out. The test show that the algorithm designed by introducing the fuzzy control theory has significantly improved the comprehensive response speed compared with the PID control algorithm, and the fuzzy PID control algorithm can fully meet the docking requirements of moving target flange in practical application because of its strong resistance to time delay.

To get the best strategy of submarine underwater acoustic countermeasure against active/passive airborne sonar in normal conditions, this paper constructs the underwater acoustic environment model, sonar detection model and submarine underwater acoustic countermeasure model, proposes an airborne sonar information processing model considering acoustic contact, tracking, positioning and recognition processing, and simulates and analyzes the effectiveness of different submarine underwater acoustic countermeasure in the conditions of sonar contacting submarines. The results show that it is more effective to reduce the radiated noise than to increase the speed against the passive sonar. Submarines should adopt greater depth, minimum noise speed and shortest distance separation. If the submarine recognizes the position of the passive sonar buoy based on electronic reconnaissance or listening to the sound of sonobuoy impacting water, it can insert the bubble shell to worsen the common view condition of the passive buoy array, which avoids tracking and positioning and improves the effectiveness of countermeasures. It is the best strategy for the submarine to counter the active sonar, change the course, and release the wideband jammers and decoys at a high speed.The bubble shell can be released to worsen the sonar tracking, positioning and recognition environment while submarine fleeing, which providing conditions for the submarine to extend the distance from the sonar. The research in this paper can provide a simulation environment and decision-making reference for submarine underwater acoustic countermeasure active/passive airborne sonar.

Facing the requirements of dynamic planning for aviation communication under the multi-domain cooperative system-level war in the future, according to the objectives of virtual-real mapping, real-time synchronization, symbiotic evolution and closed-loop optimization between the simulation system and the actual system, the paper proposes some application cases that parallel simulation works on improving the combat effectiveness of aviation communication equipment, in-field incremental integration and verification, intelligent health management, virtual and real combined flight training etc. Establish a parallel simulation system architecture for aviation communication and put forward the system composition, then analyze the key technologies such as real-time data acquisition, multi-branch parallel simulation deduction and artificial intelligence-based situation prediction and intelligent decision-making. Lay the theoretical foundation for the application of parallel simulation technology in aviation communication field.

In view of the case that the fleet of ships threatens the safety of the sea area, the scenarios of red side penetration attack, blue side air defense and antimissile, as well as three kinds of anti aircraft carrier combat strategies of land, sea and air are designed. Based on the Mozi system, the multi scheme combat simulation is carried out, and the battle damage data of both sides are obtained. On this basis, an index system based on the performance parameters of decoy and attack is established, and the operational effectiveness of the three strategies is analyzed with the analytic hierarchy process (AHP). Furthermore, a Deep Reinforcement Learning (DRL) algorithm based on AHP weight is proposed, which optimizes the sea based strategy and improves the combat effectiveness by 5.36%. The research results show that the method of scenario design, combat strategy simulation, and AHP-DQN for operational efficiency optimization based on such combat simulation software as Mozi system can provide reference for anti-ship warfare.

For the underwater dynamic target searching problem, an AUV dynamic target search algorithm based on improved genetic algorithm is proposed. The Monte Carlo method is used to generate a large number of target motion trajectories as the basis for calculating the fitness; a novel way to calculate the cumulative detection probability is proposed in combination with the hydroacoustic model ; the population selection adopts a combination of catastrophe idea and elitism method to ensure the non-inferiority and diversity of the population and accelerate the jump out of local extremes; chaotic sequence is used to select the crossover points and variation points to increase the population randomness; adopting dynamic adaptive crossover probability and variation probability reduce empirical dependence and ensure population diversity in the later stage. The simulation experimental results show that the improved genetic algorithm can effectively avoid falling into local extremes and improve the search probability compared with the traditional algorithm and classical genetic algorithm.

Radar networking is an effective method to improve detection accuracy and fault tolerance in complex electromagnetism environment. It is necessary to study data fusion schemes which can address the challenges from interference and signal-to-noise ratio reduction. In this paper, a data fusion method for multiple-radar point fusion based on bayesian statistical theory is proposed. The multi-source data fusion method based on bayesian theory is combined with kalman filtering, with the prediction of kalman filter and its covariance as the prior knowledge for bayesian theory. The points of multiple-radar are regarded as the observation value of bayesian theory. A real-time estimation method for the standard deviations of radar points is also proposed based on signal-to-noise ratio. The simulation results show that the filtering accuracy of the proposed data fusion method is better than that of the individual radar track and track fusion, and it can adapt to changing standard deviations caused by target distance changing and RCS (Radar Cross-Section) fluctuating. The proposed method is of great value to area air defense.

Aiming at the problem of bearing-only target steering maneuver detection, a multi-platform bearing-only target maneuver detection algorithm based on heading estimation is proposed. The algorithm selects the sequence of hypothetical maneuvering points, solves the two target motion elements before and after the hypothetical maneuvering point, and determines whether the target maneuvers according to the change of the sequence of the heading difference of the adjacent segments solved. Based on the Taylor series element solution model, a joint solution model of two motion elements and an independent solution model of two motion elements were established. The false alarm rate, target maneuver detection rate, maneuver detection delay time and maneuver time estimation accuracy of the maneuver detection algorithm under these two solution models are statistically analyzed. Simulation results show that the maneuver detection algorithms under the two solution models can effectively detect maneuvering targets.

Starlink is the only giant constellation in low Earth orbit currently being rapidly deployed. This paper analyzes the advantages and characteristics of low orbit satellite communication and summarizes Starlink construction and system architecture. The Satellite Toolkit (STK) is used to model and simulate 1 584 satellites of the first stage "Group 1". Then, according to the networking mode of Starlink satellite equipped with laser communication payload, Dijkstra algorithm is used to solve the shortest inter-satellite communication link distance between any two Starlink satellites. Thus, the theoretical shortest communication delay is calculated. The average communication delay from Hawaii Camp Smith to the Yokota Air Base is 42.700 749 2 ms. Based on the simulation results, the military application of Starlink in communication is predicted.

Aiming at the problem of operational effectiveness evaluation of anti-tank minefield, a method of operational effectiveness evaluation of anti-tank minefield based on Harris Hawks Optimization (HHO) optimized Monte Carlo neural network (MCNN) is proposed. Firstly, the basic principles and algorithm flow of IHHO algorithm and Monte Carlo neural network are introduced. Then the main influencing factors of the effectiveness evaluation of anti-tank minefield are analyzed, and the index system of the effectiveness evaluation of anti-tank minefield is summarized. Finally, the IHHO-MCNN neural network evaluation model is constructed. The simulation results show that the model can effectively evaluate the effectiveness of anti-tank minefield.

Aiming at the problem of mounting adaptability evaluation of shipboard gun weapon system, a mounting adaptability evaluation model based on analytic hierarchy process is put forward. The mounting adaptability of guns, tracking sensors and fire control equipment are chosen as fuzzy variables to evaluate the mounting adaptability of shipboard gun weapon system in the model. And the evaluation ruler of them is given. And the calculation method of mounting adaptability based on analytic hierarchy process is put forward. The example analysis shows the model can realize the quantitative evaluation for the adaptability of shipboard gun weapon system. The model has good operability and provides a powerful support for type selection decision-making.

Maintenance equipment consumption forecast usually adopts a single prediction model, which has a narrow scope of application and is not accurate in predicting the consumption of complete maintenance equipment. In this paper, the stability consumption characteristics of equipment and maintenance equipment are considered. The comprehensive prediction method of the classification of equipment consumption forecast is carried out. The combination prediction method combines the advantages of the exponential smoothing method, Croston method and TSB method to predict the materials with sTab.consumption and unsTab.consumption respectively. The results verify that the combination forecasting method which avoids the limitation of single forecasting model, has more extensive applicability and improves the accuracy of maintenance material consumption forecasting.

The pole assignment method is commonly used in the design of three-loop autopilot, and the constraints for the key parameter that the open-loop crossover frequency was blurred. By concluding the analytical relationship between control gains, the close-loop poles and the open-loop crossover frequency, the control system design problem is transformed into a judicious choice of the open-loop crossover frequency. Combined with engineering experience of the Canard layout missile, the constraint criteria and modified methods for the selection of the open-loop crossover frequency of the rudder bandwidth, the fin rate, the close-loop zeros and the gain polarity are discussed. The applicability of the criteria is verified in typical conditions.

To improve the positioning accuracy of the followers in leader-follower cooperative navigation algorithm for multi-USVs based on distance measurement, this algorithm integrates the distance measurements between the followers into the traditional leader-follow structure, reconstructs the equations of state and measurements in this system, calculating positions through extended Kalman filter. Simulation results shows that the algorithm added distance measurements between the followers compared with the traditional algorithm can restrain the errors diffuse effectively and improve positioning accuracy of the followers.

In view of the sinking of the Cruiser Moscow during towing, the large probability that the Cruiser Moscow was hit by a Ukrainian missile is simulated based on scenario deduction. Subsequently, a mathematical model is constructed to quantitatively assess the impact of the marine environment on the sinking of the Cruiser Moscow. The simulation results show that the marine environment has a great influence on the detection efficiency of air defense radar of the Cruiser Moscow and the capsizing of the ship during towing. Finally, by analyzing the level of equipment technology and the use of tactics demonstrated by Russia and Ukraine in this naval warfare, it provides reference for the development of our naval equipment and provides a scientific basis for the improvement of our naval warfare tactics.

In order to accurately link the entity references in the commander’s demand statement to the standardized entity nodes in the knowledge graph, an entity linking method in the military domain based on improved edit distance is proposed. By summarizing the non-standard forms of entity referencing to establish an index, and using the BM25 model to integrate the improved edit distance algorithm that considers the character position exchange, inclusion similarity and other similarities, the entities to be linked are sorted to achieve the link. The experimental results show that the entity linking method in the military field can effectively improve the matching accuracy in similarity calculation.

There are various ways for various services to carry out accusation information interoperability. The establishment of a standardized accusation information interoperability framework can provide a way to solve the problem of diversified and complicated implementation of accusation information interoperability between systems. This paper analyzes and compares three types of design methods, centering on the Battle Management Language(BML), combined with the structural concepts of Service-Oriented Architecture(SOA) and Unified Architecture Framework(UAF). Finally, a directly connected structural framework was chosen to build, and a public service supporting structural framework including six levels of system, technology, resources, service, function and organization, and multiple elements such as ontology model, semantic mapping and model generation is constructed, providing theoretical support for the research on standardization of accusative information interoperability.

According to the lack of sea detection research and the high complexity of genetic algorithm (GA) based on actual terrain data in radar network deployment optimization, this paper carries out the research on seaside radar deployment optimization with the digital elevation model (DEM) data and genetic algorithm. Based on the given positions and seaside radar detection model, the proposed algorithm can greatly reduce the searching space of GA and improve the solving speed. Simulation results show that, our algorithm can obtain almost the same optimal results compared with the exhausted searching method, while enjoying obvious advantage in speeding with the increase of deployment scale.

Capability requirement analysis is the key stage of operational concept development. Based on the formal description of the operational concept capability requirement analysis, a method of operational concept capability requirement analysis based on DRL(deep reinforcement learning) is designed from the perspective of qualitative and quantitative combination. In this method, small sample data sets with high reliability can be obtained through simulation experiments. Based on the experience data, the surrogate model of operation concept is constructed, and the model is optimized and trained by using multi-objective optimization algorithm with the high credibility simulation data set as the input. Finally, the agent model obtained from the training and the DRL framework are interactively optimized to achieve the reverse exploration of the operational concept capability requirements. The experiment results show that the method is feasible.

It is a prerequisite for the success of amphibious operations to grasp the battlefield situation comprehensively and accurately. Firstly, this paper analyzes the demand of situation intelligent cognition in amphibious operations, then proposes the conceptual framework of situation intelligent cognition. Secondly, it describes its function, effect and major models of each component. The research provides guidance for the development of amphibious combat situation awareness ability to intelligent cognitive ability, and promotes the improvement of system combat capability of amphibious operations in the future.

Starting from the analysis of the distribution of objects in distress and the probability of ideal discovery, the correction factors affecting aerial search, the width of the scan and the searchable range are comprehensively interpreted, and the actual discovery probability, success probability, inclusive probability and cumulative success probability are comprehensively sorted out. It provides effective means and support for the determination of the scope of search and rescue in aviation search and rescue operations and the analysis of the probability of successful search.

Threat evaluation of operational targets is an important link when conducting anti-ship missile combat commands. Working on complicated correlation between the attributes of operational targets and lack of objective data support during subject decision-making, combine entropy weight method and grey correlation method to establish the threat evaluation model, rank the threat of targets according to limited operational indicator data, and obtain the sequence of missile attack, which proves the effectiveness and reasonability of this combined method,and provides theoretical support for the attack preference of anti-ship missiles.

Intelligent network is the product of deep integration of network technology and artificial intelligence technology, which can make the network have the ability of perception, thinking, learning and action. First, it analyzes the requirements of naval equipment for the development of network intelligence, secondly, it introduces the related concepts and standardization progress of intelligent network, introduces the research progress of intelligent network from the aspects of ICT equipment manufacturers, telecom operators, academic research teams, United States navy, etc. Finally, it summarizes the naval network development, discusses and analyzes the intelligent development of the naval network, and provides support for promoting the evolution of the naval network in the direction of high efficiency and intelligence.

In combat network, the rational use of information communication support force is related to the efficiency of information flow of the combat network and has a profound impact on the generation of the operational capability. Aiming at the optimization of OODA loop, the requirement of information communication support force in combat network is studied. Firstly, the evaluation standard of OODA operation efficiency is determined, and the network is optimized by using the genetic algorithm based on the characteristics of combat network; According to the degree and clustering of each node in the optimized combat network, the information and communication support force requirements of combat entities and network overall is analyzed. Experiments show that the information and communication support force requirements of combat entities are not only related to their importance, but also affected by entity types. The information and communication support force should meet the construction requirements of the combat network including three types of subnets, including two types of star networks and one type of mesh networks, and the three types of subnets shall be connected in an orderly manner. The above conclusions provide theoretical support for the construction of high-capability combat networks.

The mid-course ballistic flight is the research focus of various missile defense systems, and the development of kinetic energy interceptors has reached the level of refinement and precision, the mid-course penetration technology of ballistic missiles is posing challenges. Aiming at the interception of kinetic energy interceptors and the mid-course maneuver penetration of ballistic missiles, this paper studies a new interceptor-ballistic penetration maneuver strategy, and the successful interception strategy of the interceptor under the non-mobile situation of the ballistic and the successful penetration strategy of the ballistic under the maneuvering situation. An attack-defense confrontation model is constructed in the velocity vector plane of the interceptor and the ballistic. Based on the dynamic principle and singular perturbation theory, two different miss distance calculation formulas are used to determine the success of interceptor or ballistic. The simulation results verify the correctness and effectiveness of the maneuvering model, which has certain reference value.

Aiming at the problem of improving the service quality of space-based information system in joint operations, the concept of precision service of space-based information is proposed. It selects specific combat tasks, and through task decomposition, service modeling, and information modeling, clarifies the relationship between meta-tasks, space-based information services, and space-based information. Through the roles and functions of warfighters in different positions in each combat portal node in combat tasks through analysis, the meta-tasks to be performed by each type of fighters are determined, and then the types of space-based information services they need are specified, and the demand matching of the space-based information precision service system oriented to combat missions is realized.

In order to solve the problem of dynamic evaluation of operational effectiveness of space-based information support equipment system, this paper presents a method of operational effectiveness evaluation of space-based information support equipment system based on dynamic Bayesian network. Firstly, the data samples are obtained by the operational effectiveness evaluation model of system dynamics, then the dynamic network is established based on the static Bayesian network operational effectiveness evaluation model, and the dynamic Bayesian network operational effectiveness evaluation model is established by EM parameter learning algorithm. Finally, the operational effectiveness of space-based information support equipment system is analyzed. Through this model, the relationship and influence degree of many influencing factors in the space-based information support equipment system are deeply analyzed in the battle scenario of attacking moving ship targets in the sea direction. At the same time, simulation experiments verify the effectiveness and feasibility of this method in the operational effectiveness evaluation of space-based information support equipment system, which can provide solid technical support for the operational effectiveness evaluation of space-based information support equipment system.

Through flexible configuration of warship formation, the Aegis Warship Formation achieves interception and defense of targets in different attack directions. Based on the warship coordinate system and target coordinate system, the detection and interception zone models of Aegis warship formation are constructed. The functional simulation models of guidance radar and SM-3 interceptor are integrated to propose a dynamic simulation modeling method for anti-missile defense of warship formations. The detection directional coefficient and killing directional coefficient are defined, which are used to quantitatively evaluate the directional characteristics of the formation anti-missile defense. The simulations are conducted with a typical case of two-ship Aegis formation, and useful conclusions are obtained. The results can provide support for battlefield offensive and defensive situation assessment.

In response to the needs of data sharing and exchange in joint operations of allied force, NATO has proposed a multilateral interoperability planning information model (MIM) for the command, control and simulation interoperability domain. MIM serves as the semantic reference model for the core data framework, supporting the development of interoperability specifications and their specific processes. This paper introduces the development requirements and development history of MIM, analyzes the method of MIM semantic information annotation model, summarizes the tools and services of MIM, and research how MIM supports oross-system information sharing as a semantic refernce model from the aspects of applicability and application strategy and specific application examples are given. It provides the basis for the development of the domestic semantic reference model and the data sharing and exchange in the joint operation of the multiple arms of the services.

A three-degree-of-freedom fighter model is established to solve the maneuver decision problem in cooperative air combat, and an extended basic maneuver decision set is designed according to the pilot’s actual operation in air combat. The air combat situation assessment model is established by constructing angle, velocity, distance and altitude superiority functions. Based on group decision making theory, Cook-Seiford decision making algorithm is designed and applied to the research of multi-aircraft cooperative air combat maneuver decision making for the first time, which effectively optimizes the decision flow. Under the initial situation disadvantage, Cook-Seiford group decision algorithm, Copeland and Dodgson group decision algorithm are used to simulate adversarial air combat under typical air combat conditions of 2 versus 2 and 3 versus 2. The simulation results show that the cooperative maneuver decision algorithm based on Cook-Seiford group decision algorithm can effectively obtain obvious countermeasures advantage, which verifies the effectiveness and superiority of the algorithm designed in this paper, and provides a new idea for using the group decision algorithm to solve multi-aircraft cooperative air combat decision.

Aiming at the problem of tracking skip-glide targets using radar, this paper proposes an Unscented Kalman Filter (UKF) tracking algorithm based on the improved Jerk model. Aiming at the estimation error introduced by the artificial preset acceleration variance and Jerk frequency of the conventional Jerk algorithm, this method calculates the acceleration variance adaptively through the current position estimation value and the current position one-step prediction value, and correlates the jerk frequency with the acceleration variance, realizing the adaptive adjustment of the model parameters while estimating the target motion state. At the same time, the improved Jerk model is combined with UKF algorithm, and the overall algorithm flow is given, and simulation experiments are carried out. The simulation results show that compared with the conventional Jerk model algorithm, the method proposed in this paper realizes the adaptive adjustment of model parameters, making the tracking process more adaptable to the maneuvering characteristics of the target.

Autonomous underwater vehicle (AUV) is an important part of underwater weapon in naval warfare. Cooperative operation of multiple AUV can improve the operational efficiency and the robustness of the whole system. In this paper,according to the method that the follower obtain the information of the leader, a leader-follower formation control framework based on underwater target positioning method is proposed. A formation controller based on Lyapunov method is designed, the consistent asymptotic stability of the closed-loop system is proved. Finally, the theoretical results of this paper are verified by a simulation case.