Based on the key demands of interaction and information sharing among multiple aircrafts for cooperative combat,we proposed a task oriented device-level avionics network architecture,which could reflect the essence of coordination.Firstly,we improved the auction task assignment algorithm and analyzed the wireless communication among aircrafts and among airborne equipments.Then,the communication costs among aircrafts were converted into that among the airborne devices.According to the function of communication costs,a method was presented for aircraft avionics network quality evaluation.The simulation indicates the conciseness of architecture.It can not only reflect the coordination essence,but also properly evaluate the quality of the network.

There exists track swap when tracking closely spaced targets,which may decrease the reliability of traditional track association and fusion algorithms greatly.Thus we proposed a robust track association and fusion algorithm with tracking state monitoring.Firstly,a sliding window global optimum association was adopted to ascertain associated track pair and establish system tracks with multiple frame track data.Then the real-time association relation of associated track pair was used to detect track swap.Lastly,track attenuated residual was used to identify maneuver in order to select the fused measurements or fused state estimation adaptively in updating state of system tracks.Simulation result shows that the proposed algorithm can improve accuracy of fusion tracks and realize robust track association and fusion.

An improved multi-tasking collaboration model based on dynamic coalition was proposed for UAV combat network.According to the UAV networks connectivity and task priorities,a collaboration message forwarding mechanism was established in the model.As the scales of UAV dynamic coalitions were controlled at a reasonable level,the UAV networks could work more efficiently.According to the theory of discrete event system simulation,a UAV network simulation model based on priority queues was established using the time stepping technique,which was used to simulate UAV multitasking collaboration process.Simulation results show that,compared with non-collaborative strategy and the original dynamic coalition model,the proposed model can work effectively with reduced task processing time and improved multitasking operation efficiency.

To solve the filtering accuracy reduction and divergence problems in the nonlinear system when the noise characteristics are unknown,a hybrid filter composed of Sage-Husa filter and particle filter is proposed.Firstly,a preliminary estimate of the state variables is provided by particle filter,which is then taken as the input measurement value of the secondary filter,and forms a new system with the state equation.After that,the modified Sage-Husa filter is used for estimating the statistic property of system noise in real time,and the final system state estimated value is obtained.The calculation complexity of the algorithms is calculated out quantitatively to compare the algorithms performance further,the result shows that the calculation complexity keeps unchanged in new algorithm.Finally,target tracking simulation results demonstrated the availability of the new algorithm.

The existing maneuvering decision models are deficient in reflecting the confrontation of the air combat.Therefore,we proposed an air combat maneuvering decision model based on game theory,and used Memetic Algorithm (MA) to solve the model.The air combat maneuvering decision model was established based on bi-matrix game.The MA was composed of Particle Swarm Optimization (PSO) and Tabu Search (TS) algorithm,and Simulated Annealing (SA) was introduced to maintain the diversity of particles.Simulation results show that the framework can effectively model the actual air combat,and the improved MA can meet the real-time requirements.

The dispersion model is a very important issue in UAV swarm technology.In the research of dispersion model of UAVs,the most important effort should be exerted on building the motion equations for each UAV.Based on modeling the 2D centroid motion equations for the UAVs,virtual constant gravitation,boundary force and Lennard-Jones molecular force are designed to simulate the forces acted on the UAVs in dispersion,which aims to satisfy the requirements of alignment and obstacle avoidance.The simulation results obtained from numerical outcome of motion equations showed that,the dispersion model helps the swarm numbers to maintain a safe distance from each other and ensures that they can fly in a rough uniform direction.

A decision-making model was established for preventing the fighter from being attacked in the medium and long distance air get close to.The model helps the fighter get close to the enemy in stealth way by making use of the Doppler blind zone of the enemy’s Pulse Doppler (PD) radar.Firstly the Doppler blind zone model of the radar onboard enemy fighter is established.Secondly,the safe boundary is settled with the support of Electronic Support Measures (ESM).Then,three decision-making modes are established and switched according to the states of ESM states.Finally,an optimal maneuver strategy is figured out by the Receding Horizon Control (RHC) algorithm.The experiment turned out that a fighter can accomplish a lower risk of being detected and tracked if adopting the optimal maneuver strategy,and finally get better superiority on situation.

According to the characteristics of infrared projectile target images,and on the foundation of analyzing several histogram-based threshold segmentation algorithms,a method for improving the real-time performance of such algorithms was studied.Considering the feature of fixed pixels of projectile images,we proposed a rapid algorithm based on p-tile histogram.On the segmentation effectiveness,the algorithm can improve the accuracy for extracting the projectile target.Compared with the traditional histogram-based thresholding algorithms,the algorithm can decrease the running time by 30%.Simulation based on Matlab shows the effectiveness and real-time performance of the algorithm.

Through study on methods for forecasting multi-stage attack,we proposed a forecasting approach based on fuzzy,Hidden Markov Model(HMM) by integrating the association rule,fuzzy evaluation method and hidden Markov model together.Firstly,the original alarm information was fused into hyper alarm information.Secondly,the initial state matrix was obtained by the initial probability of the attack behaviors,the state transition matrix was determined according to the association rule,and the observation matrix was obtained by fuzzy evaluation.Finally,the attack scenarios leading to the alarm information were recognized by the Forward algorithm of HMM,and the next possible attack sequence was forecasted by the Viterbi algorithm of HMM.The results of simulation experiments verify the validity of this approach.

This paper is concerned with the stability of systems with interval time-varying delay.By constructing an appropriate type of Lyapunov functional and employing a new and tighter integral inequality,Jense,the improved delay-dependent stability criteria are derived.Because neither any model transformation nor free weighting matrices are employed in the theoretical derivation,the developed stability criteria reduce the complexity of the computation.By taking full advantage of the median estimate and varying range of the delay,the conservative is also reduced.Numerical examples are given to demonstrate the effectiveness and the benefits of the proposed method.

The maneuver trajectory control strategy that can interrupt the radar angle tracking loop was proposed based on the characteristics of auto angle tracking system.The transfer function of auto angle tracking system was developed,and the error production mechanism was studied.Taking the missile attacking on two-dimensional plane as example,the second order relative motion model of the missile and fighter was analyzed.And then,a fighter maneuver control method for interrupting the radar angle tracking loop through angle pull-off was put forward based on close-loop feedback control.An analytical form of maneuver trajectory control law was derived.The applicability of the method was analyzed through digital simulation.The results provide a reference for fighter pilots in decision making.

With the continuous development of air defense system in information battlefield,the path obtained by constant-weight cost function has great deficiency in aircraft survivability.Thus we improved the traditional constant-weight cost function with variable weight theory.In simulation,the results of path planning based on the constant weight and variable weight cost function were analyzed with Differential Evolution Algorithm (DEA).The result proves the feasibility of the path planning method based on variable weight theory,and shows that it can greatly improve the aircraft battlefield survivability.

A system architecture for assistant operation decision-making system of command and control system is designed based on the idea of Service-Oriented Architecture (SOA).Then the key technologies for the service-oriented,assistant operation decision-making are analyzed,including five aspects as the serviced description of assistant operation decision making course,service running management,assistant operation calculation modeling,cooperative operation mission planning and real-time surveillance of combat process.This purpose is to supply a technical reference for developing a command and control system with aided intelligent decision-making in the future.

Air Combat Maneuvering Instrumentation (ACMI) is an auxiliary equipment for training and assessment of the pilots skills of platform controlling,weapon operating,and tactics applying.The typical architectures and functions of ACMI are introduced taking P4,P5 and P5IS as examples.Analysis is made to the key technologies,including wireless communication network technology,accurate time/space positioning technology,weapon modeling and simulation technology,real-time attack effect notification technology,and ground display and replay technology.Finally,the developing trends of embedded equipment and live-virtual integration are pointed out.

Considering the usage scenario and functions of intelligent glasses required from different customers,the design schemes of two kinds of intelligent glasses are studied,and analysis is made to the composition and working procedure of the intelligent glasses.In addition,the differences of the two kinds of glasses from the current similar products in the market are presented,and the development trends of the intelligent glasses are discussed.

In order to improve the performance of altitude holding control on unmanned powered paraglider,we proposed an integral-ahead control method with tracking differentiator (TD-IPD).Taking interference problems of differential unit into account,and based on integral-ahead controller deprived from the Linear Quadratic Optimal Control (LQOC),the tracking differentiator was introduced for separating the desired signal from interference,and fsun(·),the optimal control synthesis function was used to simplify the required proceeding for reaching steady state.To avoid integral saturation,a saturation compensation scheme was used to modify integral control law for increasing the anti-saturation ability.The effectiveness of the proposed method was verified by a simulation with Matlab taking height control of a certain unmanned powered paragilder as an example.

Due to the different thermal expansion coefficients,elastic modulus,and Poisson ratio of the optical cement adhesive,rugged glass,and polarizer,some thermal stress will perform on a rugged LCD when the ambient temperature changes. The paper establishes the finite element analysis model of the rugged LCD in the high ambient temperature to simulate the possible thermal stresses with different adhesive thickness,different ruggedization processes,and different rugged glass thickness. The simulation results show that:When the rugged glass thickness is 2.3 mm,the adhesive thickness is 300 μm,and the elastic modulus,thermal expansion coefficient,Poisson ratio of the adhesive is respectively 1.65E7 Pa,1.2E-3/℃,and 0.44,the displacement,the strain,the stress of the rugged LCD is the least,which helps guarantee the display performance.

In order to reduce the diffracted spectrum shift of the holographic wave-guided display systems within the entire field of view,the optimum slant angle of grating vector and the optimum slant angle of the image source optical axis relative to the volume grating were used.To get the same diffraction spectrum range in the given incident angular range,one-layer volume holographic grating was recorded based on three-step exposure.The numerical simulation shows that：The wavelength ranges of diffracted light are kept the same with the incident angular at －3° to 3° when the spectrum of light source is in the range of 524 nm to 540 nm.The uniformity of the diffraction spectrum range is improved,and this design can be used in holographic waveguide display systems.

Aiming at the situation of lacking of reference data in simulation model validation,a method based on characteristic curve reconstruction was proposed and used into model validation.Firstly,the characteristic curve of simulation data time series was acquired through communicating with related experts.Then the parameters of simulation data were estimated using the characteristic curve.Finally,the estimated parameters were compared with the parameters given by experts to validate the simulation model.The results of simulation analysis show that the proposed method can solve the problem of lacking of reference data in simulation validation effectively,and is of certain reference value.

The issue of inter-visibility indicates to the problem of the set of terrain surface area observable to known viewpoints and computed viewpoints.The common methods are R2,R3,PRVA,PREAI and Xdraw.But in the real application,especially when the observed target is an aircraft,what should be known includes the inter-visibility situation of surface terrain and of space of any flight levels.This paper proposes an improved inter-visibility algorithm based on minimum inter-visibility height.Based on the Digital Elevation Model (DEM),this method could not only calculate precisely the inter-visibility situation of surface terrain,but also compute the inter-visibility of space of any flight levels precisely and quickly.Then the algorithm was implemented by programming,which identifies the feasibility and accuracy of the algorithm.

The problem of residual life prediction of high-reliability device was studied.Considering the lack of life data and the difficulty in establishing a physical model,we used the inverse Gaussian regression model to build up the degradation process model of device in combination with the monotonous degradation data.Then we obtained the degradation model by using the method of parameter estimation for forecasting the residual life of device.The problem of data fusion may emerge when there are data of multiple sets in the same batch to estimate inverse Gaussian model parameter.We used the method based on Evidential Reasoning (ER) to fuse the multi-source data,and put forward the concept of attribute weights,in order to estimate the inverse Gaussian model parameters more accurately.Finally,simulation experiment,proved that the presented method can obtain more reliable parameter estimation results.

In the testability verification test for electromechanical equipment,the confidence level is usually low since the sample allocation method is not rational.To solve the problem,we proposed a new sample allocation method based on multi-factor by analyzing the key factors that have effect on the confidence level of conclusion.The sample size of each Unit Under Test (UUT) was calculated out according to the relative ratio of integrated multi-factor,which could optimize the failure sampling structure and improve the representation of failure sampling set.Moreover,the single-step failure propagation algorithm was improved,and the improved algorithm can calculate failure propagation intensity more effectively.We made sample allocation by taking a certain stabilization and tracking platform as an example.The result showed that the scheme can optimize failure sampling structure and improve the confidence level of the testability verification test conclusion.

In laser scanning display systems (LSDs),the Micro-Opto-Electro-Mechanical System (MOEMS) has mainly two patterns for laser beam spatial modulation,Lissajous and Linescan.In order to analyze the characteristics of each model,and the advantages and disadvantages of different patterns,we made comparative study on two indicators of display resolution and track uniformity.According to the least pixel division method simulated,the minimum MOEMS fast axis frequency requirements of Lissajous pattern is about 57% higher than that of Linescan pattern.Simulation was made to the same picture under different pattern based on Matlab.The result indicates that the Lissajous scanning track presents an uneven characteristic of dense upper and lower edges and sparse center,whereas the Linescan scanning track presents a trumpet-shaped uneven characteristic.

Inter-visibility calculation is to calculate the visible area sets of known observing points.The common methods,including R3,PRVA,PREAI,R2 and Xdraw,are complex and not adaptable for military application.In this paper,the advantages and disadvantages of each algorithm are analyzed comprehensively.The Xdraw method is selected and improved for increasing the calculation efficiency.On the basis of Digital Elevation Model (DEM),simulation is made under VC environment.The result shows that the improved Xdraw algorithm can not only calculate the inter-visibility situation of surface terrain,but also compute the inter-visibility of space of any height layer precisely and quickly.Therefore,its feasibility and effectiveness for threat inter-visibility calculation are proved.