Based on the understanding to regional search features,a viewpoint is put forward that buoy array deploying,buoy array monitoring and their relationship should be taken into integrated consideration for anti-submarine patrol aircraft to search submarine by using sonobuoy.Further more,two types,totally three kinds of methods are put forward for the submarine search based on the analysis to sonobuoy regional search situation.This paper is focused on asynchronous search of deploying and monitoring.According to this search method,the concept of standard buoy array is put forward.The search efficiency calculation models and the buoy distribution models are conducted.The example of regional search using this searching method is given.The sonobuoy regional search situation for anti-submarine patrol aircraft to search submarine is analyzed after the sonobuoys get touch with the submarine,and the action methods after contaction is given.The basic principle of search method selection and the planning steps of regional search for anti-submarine patrol aircraft using sonobuoy are also given.

On the basis of SURF registration and history motion image building,a new algorithm for moving target detection based on image sequence was proposed.To deal with the problem of false alarm in motion detection,a multi-frame collision detection algorithm was put forward to eliminate the false moving target, which combining multi-frame association with collision detection theory.Simulation was made by using standard test sequences.The results show that the moving target detection algorithm has high recall ratio, high detection precision and very low false alarm probability.

This paper focuses on Aerial Offensive Operations (AOO) information superiority transformation evaluation. Firstly, the concepts of operational node, information flow and Fire Procedure Link (FPL) are defined, and general process of aerial offensive operations is elaborated. Secondly, representation method of three-parameter Vague value is given, GERT network's nodes and transmission line are analyzed, and then GERT network model of AOO-FPL evaluation is built up. Thirdly, according to information flowing characteristics, computation method of FPL information superiority transformation probability is gained by applying Mason's Formula. Finally, AOO-FPL is evaluated by using a case, and the result verifies the feasibility and effectiveness of the model, which can provide a decision-making basis for AOO operational systems' design and optimization.

To the issue of target tracking in nonlinear system,a Variable Structure Multiple Model (VSMM) algorithm combining Cubature Kalman Filter (CKF) with Adaptive Grid (AG) is proposed based on the turning model,which is called CKF-AGIMM algorithm.The algorithm uses CKF as a filter,and adjusts the turning model set adaptively by using grid center and the minimum distance between grids,so as to effectively track the targets.Simulation is made for comparison with the IMM based on CKF (IMMCKF).The simulation results show that the proposed algorithm can improve the tracking accuracy and stability without increasing the running time.

The influence of multipath effect on pseudo-range measurement is always an important constraint for integrity monitoring of satellite system,and carrier phase smoothing code pseudo-range method can restrain the influence effectively.Considering that the pseudo-range measurement of BeiDou System (BDS) is easily affected by the multipath effect,we proposed an improved Hatch filter to solve the problem.The relational expression of the filter parameter θ with pseudo-range variance was established,and the new filter parameter was selected based on principle of minimum variance.The results show that the new method can improve the precision of pseudo-range measurement,and decrease the bias and fluctuation range of B-value.This method can improve the capability of multi-reference consistency check.

Early-warning and Counter-attack Combat of Missile (ECCoM) is an important support of the active defense strategy.However,it is difficult to establish the operational system and to make effectiveness evaluation.Aiming at the establishment of Early-warning and Counter-attack Combat System of Missile Systems (ECCSoMS) and its effectiveness evaluation,Department of Defense Architecture Framework (DoDAF) is used to establish the ECCSoMS,and analysis is made to the military requirements,combat missions,operational activities,operational capabilities and weapons system by the technical means of views.Effectiveness evaluation of ECCSoMS is realized by use of the belief Rule base Inference Methodology using the Evidential Reasoning (RIMER).And the belief rule base is constructed according to historical experience,experimental data and expert knowledge,which can convert various types of uncertainty data into a unified structure reliability.With an example,the specific application and advantages of the method are illustrated.

The track association of radar and Electronic Support Measure (ESM) at different sites is researched.The traditional algorithms based on statistics make decision of association for each track by hypothesis testing without making full use of the spatial distribution information of multiple targets.In this paper,the range and space distribution information is utilized for obtaining all the crossing points,which are divided into several combinations.Pretreatment based on range information is used to eliminate some false combinations and raise the speed of operation.The space distribution information of multiple targets is fully utilized by gray correlation based on the similarity.The final association results can be obtained by processing of several history association results.The simulation results show that proposed algorithm can accomplish the track association of radar and ESM quickly and effectively.

Compared with the north seeking schemes under the static condition,the dynamic north seeking schemes can effectively restrain the random errors of the Fiber Optic Gyroscope (FOG),and greatly improve the accuracy and rapidity.Least square fitting method,mathematical function modulation/demodulation method and unit function modulation/demodulation method are common dynamic north seeking algorithms.In the paper,the principle of least square fitting algorithm is introduced and related formulas are deduced.Two north seeking models are established by Matlab/ Simulink simulation tool and the applicability of the model is tested.The effects of rotation speed,sampling frequency,random errors,sampling points and constant drift on the dynamic north seeking result of FOG are studied by the established models.The simulation results show that the random drift noise is the key factor that affects the accuracy of the north seeking,and other factors also restrict the accuracy of the north seeking.The effect of sampling points on the results of the north seeking shows that the north seeking errors tend to be stable when sampling points are enough,and north seeking can be realized with the residual period sampling and north seeking time can be shortened.

Object feature representation is a hot topic in visual object tracking.Recently,kernel correlation filter has found wide application in object tracking with its high efficiency,while the simple pixel representation is not adaptable to tracking in complex scenes.A real-time tracking method integrated with color features is proposed here.Experimental results show that color information can improve the overall performance effectively,and the proposed algorithm can perform superiorly under the condition of different appearance variations,such as pose variation,illumination variation etc.The average tracking speed is 62.1 frames per second,which meets the real-time application requirement.

This paper focuses on the fusion of infrared and visible images based on the theory of sparse representation,and a fusion rule of sparse coefficients is proposed.The approach can be divided into three parts:over-complete dictionary,the algorithm of sparse vector approximation and the fusion rule.Firstly,through dictionary learning to all the patches of the visible image and infrared image to be fused by use of K-means Singular Value Decomposition (K-SVD),the over-complete dictionary for sparse vector calculation is obtained.Secondly,the sparse vector is approximated by orthogonal matching pursuit.Thirdly,the fusion rule based on absolute value of the maximum element of sparse vector is proposed,which is used for the sparse vector fusion of visible image with infrared image,and the fusion image is obtained.Experimental results show that the fusion result is obviously better than that of the method based on Maximum-L1-Norm.

Considering that it's not easy to detect the defect of the pixels on the edge of hyperspectral image with slide window, we used edge expansion method to make the pixels on the edge be detected normally. Then, a new hyperspectral data model was established in the form of local summation in slide window, hence the rationality was promoted. At last, to prove the effectiveness of the proposed algorithm, experiments were implemented with real data. The results show that this algorithm performs better than the traditional algorithms of RX and KRX, and it can detect more anomalies with lower false alarm rate.

Considering that the simulating calculation of aircraft infrared characteristics has poor adaptability to the conditions,we used simple and reliable modeling method,classified the infrared radiation by the radiation sources,and established the infrared radiation model of each part.Based on the model,the simulating calculation program of aircraft infrared characteristics under different conditions was designed by using CVI.The aircraft infrared characteristics under different conditions were analyzed by using the calculating example,and the extreme values of radiation intensity were obtained.Compared with the data given in other references,our simulating method has higher feasibility and precision,which can provide a theoretical basis for infrared target simulation in hardware.

Distinguishing the target accurately is the basis for the Anti-Ship Missiles (ASMs) to select the scheduled target in a ship formation.Firstly,under the necessary conditions for radar homing head to capture a target in a formation,the models of range difference and angular difference between the target and non-target are established based respectively on given homing distance and given attack angle.Then,with consideration of the influence of target maneuvering tactic and missile firing error,the models of range difference and angular difference are established on the condition that the homing distance and attack angle are uncertain.Finally,simulation analysis is carried out after setting a scenario.The results show that the attack angle restricts each other with the homing distance on the condition that the target is distinguished accurately.In other words,the homing distance should be selected reasonably according to different attack angles.

A triaxial self-stabilized platform vehicle disturbance compensation model was established for the control system of a new shipboard triaxial self-stabilized photoelectric platform through coordinate transformation under the specified space photoelectric orientation and specified way of photoelectric equipment installation. The model was used to compensate for the effect of the hull's rocking, rolling and pitching on the photoelectric pointing accuracy in real time. On this basis, the control system model was established. To restrain the nonlinearity at low speed and improve the pointing precision of control system, a disturbance observer was designed. Simulation results show that the disturbance observer method has a very good effect for nonlinear compensation, and the whole control system has good feasibility.

The application of Boeing 787 and other new types of civil aviation aircraft put forward new requirements to the cockpit integrated virtual display system of training simulator.In order to meet the requirements that the display can be switched,recombined,transplanted with more information and more flexible display mode,the characteristics of the new display system were analyzed,and a development process was proposed based on virtual instrument component library.The display interface was developed by using VAPS,and the data interface,communication links and communication protocols were established.A virtual simulation integrated display system for Boeing 787 was designed based on the development process,which can meet all the requirements.The study supplies the development process,modular material library and communication protocols for the future development of virtual instrument.

Time-Triggered Protocol (TTP),or time-triggered bus,is a bus used in safety-critical,real-time control system adopting the time-triggered communication mechanism based on global time.Considering the requirements of clock synchronization on high precision and fault tolerance,we studied the algorithm of clock synchronization of TTP,established a TTP node model and the algorithm of clock synchronization by using OMNeT++.Simulation was made to the algorithm of clock synchronization and verified the correctness of it.With enough synchronization period,the precision can be less than 1 μs.

The application of data fusion technology in Navy Unmanned Aerial Vehicle (NUAV) for reconnaissance,detection and target indication process is studied,and a track fusion algorithm for marine target is proposed.The track fusion of airborne sensors in target detection is implemented through such processes as time/space alignment,data association,track synthesis,track file management,and fusion tracking filtering.Thus the unified battlefield situation information and high-precision target indicating information can be obtained,which provides a strong information support for battlefield situation awareness and target attacking.The simulation results show that the algorithm is valid and has high engineering application value.

Test point selection is the premise of fault diagnosis.Analysis was made to the relation between signal and fault mode,on which basis,the systematic relationship model of weapon-launching control channel and the correlation matrix were founded.By using the heuristic function established for measuring the virtues or defect degree of the test sets,a heuristic optimal test scheme was designed.Then genetic algorithm was used to deal with correlation matrix,and the optimal test point set was obtained.Simulation results show that the scheme can effectively improve the efficiency of the fault diagnosis for weapon-launching control channel in a certain plane.

The dynamic grid model of parabolic equation is presented based on non-uniform mesh technique for the accuracy and timeliness of the radio wave propagation in large scale irregular terrain environment.The feasibility and validity of the dynamic grid model are verified by simulating the radio propagation characteristics in the complex environment including knife-edge.The results show that:In the case of similar calculation accuracy,the parabolic equation with dynamic grid model can reduce the computation time compared with the uniform fine grid and the non-uniform grid in testing; and it has higher accuracy compared with the uniform coarse grid.Therefore,the dynamic grid model can enhance the efficiency greatly in predicting the radio wave propagation.

The typical daytime color imaging technology can not acquire color images at night due to low illumination.Thus a three-primary-color image dynamic acquisition method adaptive for Low-Light-Level (LLL) condition is proposed.A filter wheel is used for filtering the reflected light,an image intensifier amplifies the monochrome light,the image sensor captures the monochrome images on image intensifier,thus to implement dynamic acquisition of three-primary-color images under LLL condition.Direct mapping method is adopted so as to fuse the three-primary-color image into a color image,and the objective non-reference assessment method is used to assess the quality of the fusion color images.Experimental results show that: 1) Under LLL condition,the “separation-amplification-fusion” scheme is feasible for acquiring a color image both in theory and practice; and 2) The brightness and contrast of color images can be enhanced by lengthening the exposure time.This research can be used as a reference for the design and development of color imaging system under LLL condition.

The evasive capability of a conventional submarine against a Light Antisubmarine Warfare (ASW) torpedo was studied. Unified Modeling Language (UML) was used for analysis and design of the simulation system. Then, the models of antisubmarine torpedo, submarine, self-propelled acoustical decoy and noise jammer were established by using Discrete Event System Specification (DEVS) formalism. Analysis was made to the effect of the submarine's propulsion system and torpedo countermeasure system on its evasive performance. The results are valuable for the Simulation Based Acquisition (SBA) of a submarine system.

3D measurement technique is the core of the 3D scanner,and grating projection technique is one of the most promising 3D measurement techniques.In this paper,a simple 3D scanning system was built up with a projector,a camera and a computer.The projector projected grating,and the camera collected the images and transferred them to the computer.After data analysis and processing,the 3D profile of the target object was finally rebuilt by means of the 3D information reconstruction algorithm we proposed.The 3D information reconstruction algorithm took advantage of structured light with Gray coding,and the work principle of the designed 3D scanning system was simple and realizable.The experimental results show that the system is able to quickly and efficiently rebuild the 3D profile of the target object,and has obvious advantages on such technical indexes as scanning speed,resolution,reconstruction speed and accuracy.It is applicable in robot vision,virtual reality and other fields.

Time Varying Autoregressive (TVAR) model is a new method for time-frequency analysis,which has high accuracy in instantaneous frequency measurement of simple non-stationary signal.However,it is not applicable to complex signal.In order to make TVAR model also suitable for the measurements of complex signal instantaneous frequency,it is proposed to use Local Mean Decomposition (LMD) together with TVAR model.This method makes the TVAR model greatly expands its scope of application.Least square method and Kalman Smoothing (KS) algorithm are used respectively to solve the signal parameter model,and the instantaneous frequency is obtained.The simulation analysis shows that:Compared with the instantaneous frequency measurement only using TVAR model,the improved method can greatly improve the accuracy.