The demand for audio/video applications in avionics network is increasing rapidly.There are highly requirements for network bandwidth and quality of service.Audio/Video Bridging (AVB) technology can provide a synchronized and low-latency audio/video service in traditional Ethernet network,and therefore it has received attention in avionics applications.On the basis of analyzing AVB protocol,a time-triggered AVB transmission mechanism is proposed with the real-time guarantee and a traffic mapping model for message exchange in avionics network.The system architecture of AVB is constructed as a case study for an integrated avionics system.The simulation results indicate that the time-triggered AVB is expected to meet transfer needs in DIMA and is superior to AFDX.

Considering the decision-making for cooperation of fire attack and electronic warfare in multi-target attacking when the fighter is making ground penetrating, we proposed a decision-making method based on commanders'cognition. Firstly, the value of target is evaluated in aspects of campaign and tactics by commanders'cognition. Then, the effectiveness of fire attack and electronic warfare for target attacking is derived respectively by using the same method. Based on the target value and attack effectiveness obtained, an integrated operational effectiveness evaluation model is constructed, the integrated operational effectiveness and the cooperative attacking scheme are derived. Finally, the method is verified by simulation, and the result shows that it is effective for cooperative decision-making.

The four-parameter model is often used in astronomical fixation,but the coordinate scale and change of the angle between the coordinate axis are not taken into consideration.Therefore,the four-parameter model is only a simplified model for coordinate transformation of astronomical fixation.In order to verify the applicability of the model,and improve the precision when dealing with the transition between the tangential coordinate and the CCD image coordinate,a six-parameter model was built up based on the four-parameter model.Contrastive analysis was made to the two models in the aspects of positioning accuracy and tilt angle compensation.The analysis result to data obtained from the experiments demonstrated that the two models have basically the same precision,thus the applicability of the four-parameter model was proved.

To implement automatic angle tracking of moving targets automatically,a new multi-target angle tracking algorithm is proposed based on PASTd and Kalman filter.The improved PASTd algorithm is used to track the signal subspace.Different from other signal subspace tracking algorithms,this algorithm has faster convergence speed and less calculation cost owing to the orthogonal signal subspace.Then,the angles of multiple targets can be predicted by using Kalman filter,with the tracking process executed automatically.Different from other one-dimensional tracking algorithms,this algorithm can track the elevation and azimuth of multiple targets simultaneously.Simulation results show the validity of the new algorithm.

Trajectory planning is of great importance for Unmanned Combat Aerial Vehicles (UCAVs) to make autonomous attacking.After extensive research to the related articles, we established a general model for UCAV trajectory planning, summarized the basic algorithms, the solving approaches, existed shortcomings and the latest development trends, with focuses on stealth UCAV penetration trajectory optimization and online trajectory planning methods under uncertain environment.

An algorithm combining the information entropy and region growing method is put forward for the accurate segmentation of the IR small target image in background of fluctuation.First,the IR original image is filtered using the adaptive smooth filter after analyzing the image features,thus the Gaussian noise is restrained without destroying the strong edge of the target.Then,the image segmentation is implemented using the maximum entropy algorithm based on the Gray level-Gray absolute difference (G-G) histogram,by using the feature that the target edge is high in gray level and changes rapidly in its surrounding region.After the image segmentation,the seed points are selected according to the threshold obtained in the maximum entropy algorithm.And the region growing method is realized in the segmented images.Experiment results show the effectiveness of the methods given here in target-detection under background of fluctuation.

The method for sea clutter modeling with second order Volterra series filter is discussed.According to the phase space reconstruction theory,the embedded dimension is adopted as the length of the filter.The parallel multiplication-coupled structure for second order Volterra series filter is built up to reduce the complexity.The adaptive NLMS algorithm is used for adjusting the filter core coefficient in real time.Contrast experiment shows that the algorithm has faster convergence rate and smaller MSE.The Volterra filter was used for prediction of real sea clutter data.The results indicate that:1) this filter can model and predict sea clutter accurately;and 2) compared with RBF network,it has better performance for large step prediction,while it is slightly inferior in one-step prediction performance.

In order to evaluate and test the performance of processing arithmetic in single photon laser ranging,an emulational platform that can simulate real target echo and background noise is of great value.The construction and basic working principle of single photon laser ranging technology are introduced,and analysis is made to the models of target echo and background noise.M sequence is a frequently used digital pseudo-random signal.Based on this,a random sequence with adjustable scale is created,which can act as model of noise.A sequential logic circuit that can generate echo and noise signals is designed on FPGA chip,which can simulate the changes of moving speed and noise intensity.An ideal result is obtained in experimental verification.

In order to suppress the random drift and zero bias of the Hemispherical Resonator Gyro(HRG), and improve the azimuth self-alignment accuracy of the HRG inertial navigation platform, a four-position self-alignment method with drift compensation was designed for the HRG inertial navigation platform. An ARMA model of the HRG random drift was constructed for filtering the signal output from the gyro, thus to decrease the influence of the random drift and noise to the azimuth self-alignment accuracy. Experiments were made to the two-position and four-position schemes separately. The experiment result shows that, the alignment time of our four-position drift detecting scheme is equivalent to that of the traditional four-position scheme, but the accuracy of this scheme is 15. 78′, which is better than that of the traditional two/four-position scheme ignoring the gyroscope drift.

In order to suppress the random drift and zero bias of the Hemispherical Resonator Gyro(HRG),and improve the azimuth self-alignment accuracy of the HRG inertial navigation platform，a four-position self-alignment method with drift compensation was designed for the HRG inertial navigation platform.An ARMA model of the HRG random drift was constructed for filtering the signal output from the gyro,thus to decrease the influence of the random drift and noise to the azimuth self-alignment accuracy.Experiments were made to the two-position and four-position schemes separately.The experiment result shows that,the alignment time of our four-position drift detecting scheme is equivalent to that of the traditional four-position scheme,but the accuracy of this scheme is 15.78′,which is better than that of the traditional two/four-position scheme ignoring the gyroscope drift.

Based on the function and working mode of the Power-supply Control Equipment (PCE) of civil aircraft,an General-Purpose Automatic Test System (GPATS) was established.The reason for selection of GPATS platform software is described here.The design scheme and implementation method of GPATS are also analyzed and presented.

Frequency interference repairing is an effective method for maintaining the normal function of a communication link. The combat effectiveness of the system mainly depends on the support networks and correlative weapon equipment, in which the influence factors have uncertain information. To solve the problem of combat effectiveness evaluation for frequency interference repairment system, the grey hierarchy method was used. The efficiency evaluation index system was analyzed and established, on which basis a grey hierarchy evaluation model was built up. The result of the examples verified the effectiveness of the method and the rationality of the model.

Optical distortion is one of important error sources of Wide Field-of-View (WFOV) star sensor,which has a great effect on focal length calibration due to coupling between the errors.To solve the problem,we established a mathematical model to determine the coupling relationship between optical distortion and focal length based on pinhole model.The referring threshold βmax of guide star incident angle is deduced using least square method to calibrate focal length,which provides the theoretical reference for focal length calibration.Simulation results demonstrate that:compared with calibration accuracy in cases that partial or all the guide star incident angles are greater than βmax,the focal length calibration accuracy in case that all guide star incident angles are less than βmax is increased by five times and ten times respectively.The influence of optical distortion on focal length calibration is effectively reduced.

Digital simulation is insufficient in mining the essential characteristics of data and is lack of intuition.To solve the problems,and considering the demands to visualization,battlefield situation management and presence of results,we established a multi-UAV simulation platform using simulation visualization techniques based on MFC and STK.The 2D and 3D visualization of simulation process is realized,and the mission execution results can be presented in written statements and graphs,which supplies a simulation support for command and decision making.

For the request of 3D dynamic display of trajectory and airspace background in new generation air traffic management systems,a 3D display technology is proposed for air traffic control system based on World Wind of US NASA.World Wind is used for 3D rendering the airspace background as display subsystem.A transparent layer is placed to display the aircraft dynamic information.And the aircraft position on the layer is ensured to be consistent with 3D airspace background by spatial transformation.The real-time dynamic information of the aircraft in the airspace is collected by ADS-B ground station,and the information is used for real-time trajectory display.The experiment result indicates that:the proposed 3D display technology is compatible with the traditional air traffic display technology,and can offer more intuitional dynamic information in airspace to the controllers,which is helpful for improving the effectiveness and reliability of air traffic control.

In order to make efficient and reliable test to a certain type of air data computer,an automatic test system was designed based on bus structure.With the measurement and control computer as the core,the test system adopts ATE structure on system framework,the IEEE488,VXI bus control mode and virtual instrument technology to implement automatic test on such performance parameters as air pressure data and atmospheric temperature of a certain type of air data computer.The test system has been put into practical application.The application result shows that:the system is reliable,accurate,and easy to operate,and can satisfy the maintenance and testing requirements of this type of air data computer.

Based on Adaptive Genetic Algorithm (AGA) and its improvement,by use of the two numerical tools of GDOP and CLRB,and taking the requirements and restrictions of the multilateration (MLAT) system into consideration,the station locations are determined through continuous iteration,and analysis is made to the similarities and differences of the obtained results of station layout.Then,the distribution of GDOP and CLRB values under different station layout is obtained.The technology can realize optimal embattling of MLAT system，and it can also upgrade the existing system.AGA algorithm and the implementation process of embattling based on AGA are introduced in detail in this paper.

The calculation of attack zone of Air-to-Air Missile (AAM) is an essential process in the launching of AAM.The concept of attack zone of AAM after launching is presented to compensate for the limitation of the traditional three-line attack zone.Based on the mathematic models of an AAM,including pneumatic model,kinetic model and so on,the attack zone of AAM after launching under typical condition is calculated out by using very fast simulation algorithm,and the function of it in air combat is also analyzed.The simulation results indicate that:The attack zone of AAM after launching is different from the traditional attack zone and can provide better Situation Awareness (SA) information for the pilot,which is helpful for improving the combat efficiency.

The common search patterns for cooperative coverage search methods of multiple Unmanned Aerial Vehicles (UAVs) under unknown environment are zigzag and spiral patterns. Considering the constraints of the UAV's turning radius, the zigzag pattern needs to make turning out of the search area, which can result in longer total path lengths, while the spiral pattern may result in large number of turns, especially near the center of the area. Focusing on the shortcomings of these two patterns, we derived an improved search pattern based on the guarantee of area coverage and dynamic constraints of UAVs. The moments and positions of each UAV's turning were adjusted according to the corresponding rules. Theoretical analysis and simulation results show that, the improved method can not only work better than zigzag and spiral patterns, but also have good ability of formation reconstruction when partial sensors or UAVs are damaged.

The common search patterns for cooperative coverage search methods of multiple Unmanned Aerial Vehicles (UAVs) under unknown environment are zigzag and spiral patterns.Considering the constraints of the UAVs turning radius,the zigzag pattern needs to make turning out of the search area,which can result in longer total path lengths,while the spiral pattern may result in large number of turns,especially near the center of the area.Focusing on the shortcomings of these two patterns,we derived an improved search pattern based on the guarantee of area coverage and dynamic constraints of UAVs.The moments and positions of each UAVs turning were adjusted according to the corresponding rules.Theoretical analysis and simulation results show that,the improved method can not only work better than zigzag and spiral patterns,but also have good ability of formation reconstruction when partial sensors or UAVs are damaged.

Taking the structural features of Multi-Function Displays (MFDs) and the Head-Up Display (HUD) in the cockpit into consideration,we designed a Line of Sight (LOS) measurement system with simple structure,which was composed of a camera fixed on the helmet,a processor,and cockpit structural features.A new method was proposed which used the accurate structural features of MFDs and HUD together with Orthogonal Iterative (OI) algorithm to obtain the camera pose,which was then translated into LOS.A series of simulation experiments were made according to the cockpit structural features.The simulation results showed that:1) the system has a high measurement accuracy;and 2) the method based on cockpit structural features is rational and effective.

The shafting precision of the inertial stabilized platform has direct influence on the technical index of electro-optical reconnaissance system.A method was proposed for improving the shafting precision of inertial stabilized platform by using the steel belt transmission technique.Based on the belt transmission characteristics,analysis was made to the working principle,implementing methods,accuracy analysis, simulation and calculation of the steel belt transmission technology.The key points and result of design was presented,and experimental verification was carried out.The result showed that:the belt transmission mechanism is stable,reliable,and accurate in operation,which can satisfy the stabilization accuracy requirement of products.

The robot vision technology was applied to the target location of the 3-DOF parallel manipulator,and a mathematical model of the position inverse solution for the manipulator with 3-DOF was established.The LabVIEW software was used for programming and Matlab software was used to simulate the manipulator trajectory planning algorithm,thus the simulation of the whole working process of the grasping task was implemented.Finally,the prototype of 3-DOF parallel manipulator was made and tested.By comparing the experimental data with the theoretical design,the correctness of the theoretical analysis and model is proved.It is also proved that the introduction of machine vision technology can increase the intelligent level and positioning precision of the parallel manipulator.

Sigma-Delta background estimate is an effective moving object detection algorithm, which is able to achieve a good detection effect with a smaller amount of calculation. However, the algorithm can't clear the target image in the initial background model for the reason that there is no background model initialization. To solve this problem, it is proposed to initialize the background model based on method of mean value, which can clear the target image and get a clean background model. In order to improve the adaptability, the algorithm adopts a way to update the background model based on the idea of random update of Visual Background extractor (ViBe). In the aspect of foreground detection, a new Sigma-Delta algorithm based on RGB color space is raised to reduce the noise and improve the quality of detection. The experimental result demonstrates that the improved algorithm can obtain a clean background model and is adaptable to complex scenes. The images detected by the algorithm have less noise points and better detection performance.