A new location conception of Position Observing Information Tolerance Synthesize (POINTS) is presented in this paper.The proposed location conception regards that the passive or active location problem is to study how to obtain the location of the targets through making full use of the priori information and observation data or information obtained by the observation parameters related to the target location.All of this information constitutes the information field about the target location.We can build up a more general concept of positioning model starting from the concept in order to solve the location problem under the condition of unknown number of target and unclear relationship between target and observation,which the existing positioning theory fails to solve.In this paper,the conception of POINTS is presented,and the calculation methods of several classical passive location problems,including space observation to ground emitters with repeat measurement of two dimensional angle measurement,multiple observers for the ground emitters with orientation measurement only,space multiple observers for multiple ground emitters with DTOA measurements,are described in details.Simulation results show that this location method has the advantages of getting target quantity and multiple targets position at the same time.

To the problem that the anti-submarine needs hovering detection in submarine searching with dipping sonar,we planned a flight path for the anti-submarine helicopter hovering detection based on the hovering detection flight process,the shortest flight path standard and the geometric principle with consideration of the impact of wind on flight status.Analysis was made to the flight paths,and the mathematical model of hovering detection flight was presented.The flight path of single-helicopter round call-search was simulated based on the mathematical model. The simulation results show that hovering detection flight mathematical model can simulate more realistically the actual flight path of anti-submarine helicopter when searching submarine with dipping sonar.

In order to make Unmanned Aerial Vehicle (UAV) avoid unexpected static obstacles effec-tively, a method for design a controller of autonomous collision avoidance based on EKF-OSA was proposed. First,the relative motion model between an UAV and the static obstacle was built up.Then,the Extended Kalman Filter (EKF) was applied to estimate the state of the obstacle,and the rule of avoiding collision with unexpected static obstacles was presented.A guidance law based on One-Step-Ahead (OSA) optimization method was designed for collision avoidance.The simulation results veri-fied the effectiveness of the proposed approach.

Considering that the traditional isotropic warhead of missile can not aim at the target in two directions of pitch and azimuth angle,we established a relative movement model of missile and target for the missile with gimbaled warhead.Based on the model and the fact that the fragments will spray for different distances at different aiming angles,we took the optimal spray distance the centre fragment as the basis for attacking,and realized the control to fragments in two directions.Then,the resolution of fuse booming delay time was calculated out.At last,the result of simulation proved that the with the current measuring error of relative velocity and miss distance,the aiming scheme based on the optimal flying distance can be applied in direction control of the warhead.

In order to improve the range-measuring accuracy in stereo vision,a sub-pixel parallax is needed.The Mutual Information (MI) theory is combined with multi-resolution method to realize the goal of sub-pixel point matching.Firstly,Bouguet algorithm is used to rectify the left and right images making their epipolar line forward-paralled.Then Harris corner detector is brought to find a most characteristic corner as candidate matching point.After that,Most Cross Correlation matching rule is introduced to search the matching point.The 20×20 areas whose center is the left and right matching point are magnified by 10 and 100 times respectively.The low-resolution image is registered with MI theory,followed by the seeking of higher precision in the high-resolution image.Finally,combined with the integer-grade parallax,we can get the sub-pixel parallax.The experimental result shows that the method used in this article can improve the precision to 0.01 pixel level.

According to the image characteristics of laser active imaging,an improved Canny edge detection algorithm was proposed.Based on Canny edge detection,the algorithm used the voting median filtering and lifting wavelet transform to replace the traditional Gaussian filter,and calculated the grades of filtered images by using an adaptive method of 3×3 adjacent regions gradient.Simulation results show that:the algorithm can improve the anti-interference capability and robustness of traditional Canny operator,keep well the detail edge information and has fine real-time performance,which makes it more practical.

Aiming at the problem of dim target detection in infrared images with sky background,the detection model of infrared targets is analyzed and a detection algorithm was put forward based on the sparse ring decision.The morphological filtering target enhancement method was used for background suppression,then the Constant False Alarm Rate(CFAR) detection method was adopted for image adaptive segmentation to get candidate target points.The Local Self-Similarity (LSS) descriptors of candidate target points were calculated out,and sparse ring was obtained by normalizing the LSS descriptors and partitioning.By means of appropriate criterion,the target point and false alarm points can be distinguished. Experiments show that:1) The algorithm can get ideal results when applied to infrared images with dim and small target against clutter cloud background;and 2) Comparing with moving pipeline filter algorithm,it has lower false alarm rate and is easier for implementation.

To monitor buoy array using UAV in place of manned aerial vehicle is one of important application of UAV in the battlefield of the future for airborne antisubmarine.The case when a UAV executes buoy array monitoring task independently was taken as the background.Analysis was made to the deployment of buoy array during submarine tracking and searching,and the cost function of UAV route was proposed.A rectangular monitoring scheme of the UAV was presented according to the characteristic of buoy array,and the technique index of the planned route was researched.Finally,this scheme was verified through simulation.The simulation result indicates that the scheme is feasible,which provides a theoretic decision-making basis for actual application of UAV in buoy array monitoring in the future.

Decision-making in multi-UAV beyond-visual-range air combat is an important research topic of modern air combat.According to the air combat situation and combat information,the revenue function of UAV air combat game and game payoff matrix under the information were established.Then,a mixed strategy Nash equilibrium method for air combat game was established based on Quantum Particle Swam Optimization (QPSO).The simulation result validates the feasibility and effectiveness of the proposed method,which supplies a scientific method for solving the problem of decision-making in beyond-visual-range air combat of UAVs.

The omnidirectional collection of IP flow information is helpful for the real-time monitoring and precise management of the network,and also beneficial for improving the network security.The original IP flow sampling algorithm makes repeated sampling to the IP flow,resulting in a waste of storage and computing resource.Based on the original algorithm,a new method of IP flow sampling in high speed network with equal probability random is presented.This algorithm adopts three-level bit fields based on Bloom Filter,with two of them measured simultaneously for obtaining the intersection of their results.It is convenient and can prevent repeat sampling to IP flow effectively.The experimental results indicate that:The new algorithm can improve the measure precision drastically and make full use of the system resources,which is applicable to 10 Gb/s high speed network.

Considering the shortcomings of Wavelet and Contourlet when applied to image denoising,we proposed a new method based on Shearlet transform and Bayesian MAP estimation.Firstly,the source images were decomposed into several subbands using Shearlet．Then,Bayesian MAP estimation was adopted to estimate these multi-direction subbands.Finally,the denoised image was obtained by performing the inverse Shearlet transform on the coefficients.The experimental results show that:Compared with other denoising method,this method can contains more details,and get better visual effects.

The navigation accuracy of the pure SINS system can not satisfy the high performance requirement of air-to-air missile when the cruise range of the missile is too long.The GNSS/SINS integrated navigation is an effective method to solve this problem.Because of the successful application of the Beidou satellites navigation system,the research on BD/SINS integrated navigation has become a hot engineering field.In this paper, the integrated navigation algorithm of the BD/SINS is studied.The gain-restriction Kalman filter is adopted in the fusion of the information from the SINS and the BD receiver.In order to mitigate the inverse effect of the clock error of the receiver,a special method is used to eliminate the clock error.Simulation result proved that the integrated navigation method has a high navigation accuracy.

Ballistic target detection and recognition is one of the core difficult problems of Space-Based Infrared System (SBIRS).Aiming at the problem of detection and recognition of boost-phase ballistic target,the traditional methods based on spatial and temporal characteristic information were analyzed,and the disadvantages of the methods were pointed out.According to the consistency of the target radiation in spatial dimension and spectral dimension,an integrated method for ballistic target detection and recognition was put forward based on imaging spectral technology,in which integrated treatment was made for target detection and recognition in spectral domain spectral domain.Experiment results show that this method can obtain good result toward low SNR infrared image sequence under complex background,the algorithm has high detection probability,low false-alarm probability and fine real-time performance.

With the rapid development of avionic system,the demands of ergonomic on cockpit display system are intensifying.As an important display device,touch screen has been used in cockpit display and control system.On the basis of ARINC661 specification,a display and control system with touch screen was developed.A method that can make partial areas of a picture move with a screen contact in real time was proposed and realized.This method used widgets defined in ARINC661 specification and realized its function through interactive instructions between UA and CDS.It makes the cockpit display control more convenient and efficient.

Roll-pitch strap-down seeker has good application prospect.However,the problem of extracting LOS (Line-of-Sight) rate steadily during zenith pass tracking has not been properly solved.We proposed an approach for constructing a virtual “pitch-yaw” seeker by using the seekers angular position error,gimbal angles and gimbal angle rates.A Kalman filter was also designed whose input is the measurement of the virtual seeker to estimate movement information of the target.And the LOS rate could be extracted indirectly.Simulation results show that the proposed method can restrain the dithering of the LOS rate efficiently during zenith pass tracking and improve the precision of LOS estimation.

Embryonics array is an emerging research directions,and the circuit implemented on embryonics array has self-repair and self-organization ability similar to biology.Current research mainly focuses on software simulation rather than the appropriate experiment system.An experiment system was designed for electronics array,which provide a hard platform for the research of embryonics array and self-repair circuit.The embryonics arrays framework and electronic cell simulate modules structure were designed and the experiment system was realized.The experiment system is composed of the embryonics array made up of multiple electronic cell simulate modules,the signal generator,and logic analyzer.A target circuit based on a certain embryonics array was carried out on the experiment system.The result shows that the experiment system can verify the function of the embryonics array,and monitor the key signals in the array.The experiment system provides a hard platform for the research of embryonics array and self-repair mechanism,which has great practical significance.

The Vague sets theory was introduced into identification of types of threats to submarine,and a system model was established to identify the types of threats.The affecting weights were obtained from nearest and farthest Vague distances between characteristic parameter vague set of depicting membership degree for threat targets and positive-and-negative Vague sets.The approach degree derived from weighted Vague distance between characteristic parameter vague set and ideal positive-and-negative Vague sets was used to judge the threat target type.A simulation example shows the effectiveness and creditability of the method.

The problem of the optimal position configuration of shipborne UAV graranteeing laser teminal guidance projectile in shooting at various kinds of targets on the shore is stuided.Based on the analysis of reflection characteristic of targets on shore,a model of received power was established for laser teminal guidance projectile.Combining with the features of field of seeker,the dispersion characteristics of the initial point to control projectile and the length of time in scanning and searching,the capture model of the projectiles seeker was established.Based on the overall consideration of functions and safety of shipborne UAV in process of fight,the space configuration of shipborne UAV was established and optimized,which provides a decision-making basis for formation commander.

In order to improve the logistics support capability of carrier-based aviation spare parts,the failure rate of carrier-based aviation equipment was studied based on similarity system theory and Bayesian theory taking a certain carrier-based logistics support demand as the object.The initial failure rate of aviation spare parts was determined on the basis of similarity system theory.With the application of Bayesian theory, the initial failure rate was amended based on the practically usage data of equipments.Finally,the theoretical application of it was presented with an example.

It is usually difficult to evaluate the capability of an overhaul production line of an aviation overhaul depot.We put forward a method for capability assessment of military aircraft overhaul production.The process and key points of aircraft overhaul production are analyzed,and an index system for capability assessment is built up based on the characteristics of aircraft overhaul production.The evaluation index weighting model is constructed based on entropy weight and grey cluster by using the theory of information entropy and grey system.The applicability and validity of the method is verified by an actual example.

To understand error properties and transmission properties of dynamic measurement system,a new method was put forward by combining EMD with error matching based on the theory of whole system dynamic precision.Firstly,EMD was used to decompose the output error of dynamic measurement system,and error matching was used to seek error sources according to the results of decomposition.Simulation results show that the method can trace error effectively with high speed and high efficiency.Therefore,it is highly feasible and applicable.

A segmentation algorithm was proposed by using Nonsubsampled Contourlet Transform (NSCT) and Gabor filter to extract characteristics of images respectively and using Pulse Coupled Neural Networks (PCNN) to enhance the target areas.Characteristic figures were constructed for the high and low frequencies of NSCT and corresponding characteristic figures were also constructed for the Gabor filters.All the characteristic figures were enhanced by PCNN. Then,the enhanced figures were integrated and segmented reasonably.Images in MSTAR SAR data library under different jamming intensities were selected for experiment.The results indicated that:Compared with the common algorithms such as FCM and the algorithm based on Markov random field,the proposed algorithm can realize more accurate segmentation for SAR images and has strong immunity from interferences.

In order to obtain the specific location information of hanging objects in the lifting process,a 2D outline scanning system based on linear CCD was designed.The principle that laser line and linear CCD projection line must intersect was used for getting the 2D coordinates of laser irradiation.A linear CCD pulse central position measurement method based on hardware was proposed,and double line method was used for linear CCD calibration to obtain the mapping relationship between the output pixel coordinates and projection line.A speed control strategy was presented for smooth and efficient control of stepper motor.A cylindrical PVC with known size was taken as the experiment object,and was measured by the system for coordinates of some discrete points of the 2D contour.The cylinder radius was obtained by fitting circle with an average error of 0.928 mm,and one scan took about 0.45 s.The results show that the system has a high measuring accuracy,fast scanning speed,and can be widely applied to 2D contour scanning of objects.