Based on air to ground bombing mode a controlled/autonomous attack system was designed for Unmanned Aerial Combat Vehicles (UCAV).The system has the advantages of autonomous decision-making capability adaptability to complex environment and high reliability which can reasonably eliminate the aiming deviation in attacking process.The control and guidance system was designed by using fuzzy control theory as a reference which combined the fire control system with the flight control system.Simulation results show that the UCAVs equipped with this system can achieve good performance in automatic ground target attacking.

A novel real-time robust estimation method based on Kalman filter and data fusion was proposed for error estimation of radar network under multi-target circumstance.Firstly the real-time registration algorithm of Kalman filter was utilized to get the estimated system bias by each target.Then the results were processed by real-time data fusion to make the estimated bias more precise.Simulation results show that real-time error registration under multi-target circumstance can be realized more effectively.

The airplanes taking bombing mission are faced with multifarious threat sources from ground.Bombing at low altitude in maneuvering is an effective means for increasing their survivability.Firstly based on virtual aiming point concept an aiming theory for bombing in turning with high overload was presented.An iteration algorithm was used for calculating the control variable.Simulations were made on computer.The simulation result showed that the iteration algorithm has fast convergence speed and small theoretic bombing error.The non-level-turn bombing method is adaptable to low-altitude bombing in maneuvering.

Based on current technical state of fire control system in traditional air combat and according to the analysis on all aspect attack of the launch platform this paper proposes that beam/rear attack on the target will be a significant option in future air combat and will be the most direct method against rear attack by the enemy and therefore beam/rear attack will be the inevitable trend for future airborne weapon fire control system.The critical technologies of fire control system for all aspect attack of launch platform are also given.

Aiming at the accuracy of Strap-down Inertial Navigation System(SINS) the paper presents a method for realizing SINS initial alignment by the assistance of Dopple Velocity Log(DVL).The DVL velocity error was analyzed and its error model and SINS error model were set up.Output revising was used to revise the velocity of DVL in order to provide accurate velocity for SINS and Kalman filter was used to realize precise alignment of SINS.A simulation was made for the SINS initial alignment assisted by DVL under the uniform direct motion state.The simulation results show that this method can improve the convergence speed and alignment accuracy effectively.

A new approach that minimizes the total active laser target designation time is proposed for guidance of laser guided weapons.The laser guided weapons can make full use of INS/GPS guidance and estimate the error of the weapon-to-target vector by covariance information within a Kalman filtering.At any time the missile needs to be sure that it can navigate to any point within the area around the target that is described by this covariance.Therefore at each moment during the flight there exists a covariance threshold above which the weapon cannot guarantee its ability to navigate to the target.In our proposed approach when the threshold is exceeded the weapon requests a brief laser designation of the target.The laser designation provides an accurate measurement of the bearing of the target with respect to the missile and this is used to improve the estimation of the weapon-to-target vector.In turn this can be fed back into the Kalman filter to improve the internal state estimation.The approach can minimite the laser designation time while guaranteeing the attacking precision.

Infrared imaging process is affected by environmental factors and characteristics of system which inevitably result in an infrared image with low contrast low signal to noise ratio and fuzzy edge.So image enhancement is necessary.Based on the study on image processing we proposed a new method of infrared image enhancement. First a filter method combining median filter with mean filter was used for filtering image.Then the improved OTSU was used to segment the image and plateau histogram equalization was used to enhance the image segmentations. The image edges that need sharpening was determined based on the image segmentations and the enhanced image was obtained by using simple weighted average method.Simulation results show that this method is feasible and has fine enhancement effect.

In order to implement real-time weapon delivery planning onborad a fighter aircraft to create a path for attacking and to realize the path design integrating flying attacking with quitting a method of weapon delivery planning was put forward.Taking a guided bomb as an example the process of fire control for the bomb the threat model of battlefield and a path-planning model were described.A model was established for calculating the key points of weapon delivery and an agorithm of quitting path-planning was given. Simulation result showed that the algorithm is feasible.

Considering the new technical and tactical characteristics of the fighters we established a comprehensive air combat effectiveness evaluation index system.The fighters high mobility strong situational awareness and excellent electronic warfare capability were highlighted and the index calculation formulas were given using the analytical method. Based on the analysis to the fighter air combat effectiveness evaluation methods an air combat effectiveness evaluation model with adjustable parameters based on S-shaped curve was put forward. A parameter in S-shaped curve was used as an adjustable parameter which greatly enhanced the flexibility of the evaluation model. The air combat effectiveness of F-16C before and after using date link and the operational effectiveness of three types of fighter were analyzed and the method for selecting the adjustable parameters and the application of the model were given. The simulation results showed that the model is flexible and effective which can enhance the credibility of the evaluation results while the evaluation process is simple and feasible.

In single-observer passive location the performance of the Unscented Kalman Filter (UKF) using Unscented Transform (UT) is better than that of Extend Kalman Filter (EKF) and its derivative algorithms. But UKF has more amount of computation. To solve the problem an improved filter algorithm based on Schmidt orthogonal transform was proposed. The algorithm followed the selection criterion for sampling point and used Schmidt orthogonal transform sampling strategy to reduce the number of sampling points. The algorithm was applied in passive locating of a moving emitter. The computer simulation results show that the algorithm can reduce the computation cost and improve the calculation efficiency while keeping a satisfactory filtering precision.

The development of infrared detection is facing a severe challenge in the future since the battlefield situation is getting more and more complex.As the core of infrared-based weapons the infrared detector is developing towards higher sensitivity wider spectrum higher resolution lower power consumption smaller size and more intelligent ability.Through reviewing the long history of infrared detection and summarizing the urgent demands on military detecting the development tendency of next generation detector is studied.The development and achievements of the new generation infrared focal plane detection technology are introduced and the necessity for improving the system performance while controlling cost is emphasized.In the end the development of intelligent infrared focal plane array is given.

As the application of Large Scale Integrated (LSI) circuits and Very Large Scale Integrated (VLSI) circuits the new test method is needed for circuit testing.Boundary scan technology can solve the problem especially for VLSI circuit testing.The principle of boundary scan is summarized.The standards of boundary scan are overviewed.Some widely used testing algorithms and their advantages and disadvantages are described.The main achievements on the application of boundary scan are analyzed.In the end the development trends of new standard research remote testing and testing method etc.are predicted which may provide a reference for one to understand the present and future of the boundary scan technology.

To improve the lethality of penetration warhead of air-to-ground missiles a new guidance law of “Trajectory Shaping” was introduced to restrict the missiles impact angle.By comparing the “Trajectory Shaping” with proportional navigation and over-gravity compensation guidance law an mathematic model was established for simulation and the advantages of new guidance law for increasing the missile impact angle were analyzed.The simulation results indicated that the new guidance law can make the missile hit the immobile or maneuvering targets at desired impact angle under the condition at relatively low trajectory and within the maximum acceleration.

It is widely used in flight test for measuring position and attitude using a single plane image.A new method for solving orientation and position based on a single image is proposed which is on the basis of the classical photogrammetric collinearity equation.“Bridging” the photography coordinate system was used in the method to avoid the “corresponding” problem of the feature points between the body coordinate system and world coordinate system and translate the problem into the corresponding operations relationship for the feature points between the body coordinates and image coordinates.The results show that the method is correct and effective and has incomparable advantages in some situations where it is not suitable for installing more cameras.

In order to solve the deployment problem of alert aircrafts for large ship formation an optimal deployment model was proposed based on partition of combat zone warning zone and threatening zone.First rules for partitioning the combat zone and warning zone of the alert aircraft were analyzed and a programming coordinate system was established.Then the deployment degree matrix based on combat zone the important degree matrix based on warning zone and threatening zone and collaborative degree matrix based on collaborative detection were studied quantitatively.The optimal deployment model was established.Simulation result shows that the model has strong applicability and can automatically generate a reasonable and efficient optimization deployment scheme.

Extended propagator method (EPM) utilizes propagator method for signal direction finding by extending the data first.It has better performance in resolution and accuracy than that of classical high resolution algorithms that dont make full use of the noncircular information.But the array element position error has an influence on the performance of the algorithm in the real direction finding.An EPM algorithm based on virtual interpolated array (VIA-EPM) is proposed.By utilizing transformation matrix which is obtained through the real array manifold and virtual array manifold the real covariance matrix can be converted to virtual covariance matrix and the spatial spectrum function can be obtained after splitting the virtual covariance matrix.Simulation results show that if sensor position errors exist the performance of the new algorithm is similar to the calibrated EPM algorithm by using virtual interpolated array (VIA) for the calibrated sensor position data and this algorithm also keeps the performance in array extension and high accuracy.The estimation accuracy and resolution of VIA-EPM algorithm based on extended covariance matrix is better than VIA-EPM algorithm based on extended data matrix in the case of low SNR.