Concepts of fire control,fire control technology and fire control system are discussed.The development trend of aviation fire control system is given by reviewing its history.Analysis is made to the influences of information age and network centric warfare on fire control,and the new conditions which the fire control is confronted with,are investigated.Characteristics of fire control in the information age are figured out,and new methods and new tools adopted in new-generation fire control system research and development are presented in the end.

Considering that different features indicate different image information,and combined features can represent the image better,we summarize various kinds of feature fusion methods.Furthermore,the feature fusion method based on region covariance is discussed in detail.This method is able to combine multiple target features naturally,and the computation itself has noise smoothing ability and is very efficiency.Finally,ship target recognition is realized by designing proper target features and fusing them with region covariance.The experimental results show that the region covariance method can fuse target features in the visible image or infrared image well,and has a good target recognition performance.

The ground standby aircraft images taken by the aircraft are often affected by the distortion of rotation,scaling,affine etc,and the noise effects can make partial of target contour missing.To solve this problem,a new feature,entitled contour invariant feature,was proposed and applied in recognition of standby aircraft.Based on the object gray image obtained through segmentation,the ellipse fitting method was utilized to normalize the direction of the targets,and the global contour features were extracted.Then,the contour was divided into four parts according to the key points coordinates,and the local features were extracted. The global and local features were served as an input vector of the trained neural networks to distinguish whether the source image was the destination image.Two groups of target recognition comparative experiments were made.The results show that this method can obtain high recognition rate in spite of the noise pollution or incomplete contour extraction,which has better performance than state-of-the-art algorithms such as moments feature.

In view of the multi-attribute and the dynamic characteristic change of the targets in real air combat,a new dynamic,multi-attribute threat assessment method was proposed.Based on the established threat assessment index system,and according to the attribute information of the target at a time series,a method for constructing a virtual optimal objective to determine the target attribute weights was presented with intuitionistic fuzzy sets.A method based on the cumulative distribution function with normal distribution was designed to determine time-series weights.Finally,the dynamic threat sequencing in air combat was realized with TOPSIS method based on multi-attribute of time-series. The simulation results show the reliability of the algorithm.

To solve the problem of location inaccuracy caused by outliers in azimuth and elevation in single-observer airborne 3D passive locating,a robust recursive least squares (RRLS) algorithm was proposed.On the basis of least square solution,the robust estimation of target location was obtained according to M-estimation principle.In order to ensure real-time locating,the robust recursive least squares algorithm was deduced,and the IGGⅢ weight function was selected as equivalent weight function.Theoretical analysis indicated that the RRLS algorithm can identify outliers effectively,and reduce the influence of abnormal measurement data on locating result by decreasing the weights of them.Simulations show that when outliers exist in azimuth and elevating,RRLS algorithm has the good ability to resist the outliers,ensure the validity of the positioning result and fast convergence.

In order to realize self-stabilizing control of the quad-rotor UAV,the dynamics modeling and control of the quad-rotor UAV were studied.A dynamics simulation model for small quad-rotor aircrafts was established by using mechanism modelling together with experimental test.And the nonlinear model was linearized by using LPV method.PID controllers were respectively designed for the four decoupling channels of the aircraft model.We made simulation to the whole control system on the Matlab/Simulink simulation platform.The results showed that the dynamic model and the PID controllers can efficiently achieve the self-stability control of the aircraft,laying a foundation for the subsequent control research about the quad-rotor unmanned aerial vehicles.

To solve the task scheduling problem of Cyber-Physical Systems (CPSs),which are typically distributed heterogeneous parallel computing architecture, the Directed Acyclic Graph (DAG) is adopted as the scheduling model,the minimum task implementation time is taken as the object,and multi-mutation adaptive genetic algorithm is used.The effectiveness of individual gene is ensured though dependency matrix,and improved crossover and mutation operators,while the diversity of individual gene and convergence of the algorithm are ensured by using multi-mutation and adaptive methods.Simulation results show that the algorithm is more efficient than list-scheduling algorithm.

The traditional IMM filtering algorithm with model of the same dimension has the problem of a relatively large error,and it is difficult for Current Statistical(CS) model to set reasonable parameters.To solve the problems,we proposed a variable dimension adaptive IMM algorithm(AIMM) for tracking a maneuvering target.The algorithm firstly makes dimension variation processing to make the model with unified dimension,which is applicable to common maneuvering target,and can reduce the model tracking error.After that,the function based on residual information is used to adjust the CS model parameters,to improve the match degree between the model and the actual motion model.Finally,the improved CS mode is fed back to the variable dimension IMM for increasing tracking performance.The simulation results show that:Compared with the traditional variable dimension IMM algorithm,the proposed algorithm has higher tracking accuracy while keeping effective tracking on maneuvering target.

Super-resolution image restoration technique can increase the resolution of the obtained images without altering the system hardware conditions.The image degradation mechanism is studied,and a precise image degradation process model is established.Then,an improved hybrid MAP-POCS restoration algorithm is proposed,which adds the convex set constraints to the MAP estimation process and uses the peak signal to noise ratio(PSNR) to evaluate the recovery image quality.The simulation results show that the improved hybrid algorithm can ensure the convergence stability of the restoration,maintain the edge details of the restored image,and enhance the effect of the super-resolution restoration.

To the issue of MIMO airborne radar clutter modeling under different environment conditions,a clutter modeling method based on composite model was proposed by taking clutter amplitude distribution model,clutter cell scattering model and radar parameter model into consideration.Then,the error factors such as element error,channel uncertainty,clutter fluctuation were analyzed,and a clutter modeling method based on composite model under nonideal conditions was proposed.Finally,computer simulations were made to the space-time MV spectrum and the characteristic spectrum under different error conditions,different clutter amplitudes,and the back-scatter coefficients,through changing the model parameters.The simulation results show that:in ideal conditions,the clutter spectrum has good space-time characteristic;while in nonideal conditions,the clutter fluctuates tempestuously,and fluctuation is different under different environment conditions.

Considering the demand of binocular vision measuring and the features of sea-sky images,we proposed a binocular image rectification method based on sea-sky-line.Sobel operator was used for image edge detecting followed by binarization processing,and Hough algorithm was introduced here to extract and locate the sea-sky-line.Image rotation and translation was implemented according to the feed back data from parameter space.The experiment results show that the proposed method can effectively rectify the given target images,and manipulation performance is good,which can help to facilitate the further application of computer vision technique.

With regard to the principle that the pilot frequencies transmitted by different transmitting antennas must be orthogonal after being shifted,the time domain channel estimation solution based on the MIMO-OFDM channel estimation model is deduced through Least Square (LS) method.Considering that the time-domain solution involves the inverse operation of matrix,and needs massive amount of calculation,we adopt a three-dimensional pilot frequency based on space domain,time domain and frequency domain,which can reduce the complexity of channel estimation and make the channel estimation error minimum.Simulation result showed that:Compared with the traditional LS algorithm and the document algorithm,the proposed channel estimation method based on space/time/frequency domain pilot frequency has better MSE and BER performances.

According to the principle of geomagnetic matching navigation,an overall scheme of hardware-in-the-loop simulation is proposed.Based on the model selection and structure of hardware-in-the-loop simulation,the key technologies of geomagnetic database simulation,carrier interference magnetic field compensation,geomagnetic environment simulation and geomagnetic matching navigation algorithm,are analyzed systematically,and the corresponding solutions are put forward,which provides a reference for the hardware-in-the-loop simulation.

In traditional quadrotor PID controller,parameters tuning is difficult and it is also difficult to achieve optimum control effect.To solve the problems,we constructed a quadrotor PID neural network (PIDNN) controller,which integrated the advantages of the traditional PID controller of clear engineering meaning and simple parameter tuning,with the advantages of neural network (NN) of nonlinear mapping and self-learning capability.The nonlinear mapping and self-learning capability of NN were used to optimize the control effect of traditional PID controller.By constructing the PID controller,the initial values of number of neural network layers,nodes and connection weights were determined.Finally,the simulation experiments verified the rationality and validity of the algorithm.

A new method for optimization of the holographic waveguide plate in a holographic waveguide display is proposed according to theoretical analysis,calculations and manufacture difficulty level.A waveguide plate for a holographic waveguide display system,with 28° field of view and a large exit pupil about 30 mm×30 mm,is optimized by this method.The performances of this holographic waveguide display system can be satisfied by an input holographic grating of 5 mm×30 mm,an output holographic grating of 30 mm×30 mm,together with a glass(BaK7) waveguide of 3 mm thickness,which is divided into two waveguides,one has 0.75 mm thickness and another 2.25 mm,by the beam splitter.This configuration can be applied to a Head-Mounted Display(HMD) or a Head-Up Display(HUD).

The concept of energy angle has been utilized for airspeed controlling of civil aircraft and trigging low energy warning signal when aircrafts approach the airports.The definition of energy angle is introduced,and the principle of airspeed control and the method utilizing energy angle to trig low energy warning signal are presented.The flight control system based on Total Energy Control System(TECS) is the evolution of concept of energy angle.Compared with traditional flight control system,TECS based flight control system has the advantages as follows: simpler configuration,convenient emigration,and less couple of speed control and altitude control.It is also possible to broaden the application of energy angle concept to more areas.

The optical detection system works in the mode of passive infrared detection,and when the system works in normal condition,all the infrared heat sources on the ground may be detected as targets because of the large temperature differences between them and the surrounding environment.To solve this problem,we studied several commonly used data association algorithms,built up a mathematical model for the clutter problem,and made simulation to the algorithm through Joint Probability Data Association (JPDA).The results show that the algorithm can effectively remove the flicker noise,and solve the interference problem caused by the heat sources on the ground.

Micro-pulse laser ranging is a new technique of laser ranging,which can achieve long-distance ranging by detecting the echo signal of a single photon.According to the requirement of long-distance laser ranging for airborne application,we made theoretical study and numerical calculation to laser echo signal and background light,and accomplished the simulation optimization of design parameters.The background light noise is suppressed effectively by using spectral filtering together with spatial filtering,and 100 km remote ranging is achieved.Through light splitting,the dynamic range of distance measurement is improved greatly,and the ranging blind zone is decreased to 500 m.The experimental result verified that micro-pulse laser ranging system can detect the echo signal between 500 m and 100 km effectuality,the detection probability PD is not lower than 96% and false alarm probability PFA is not bigger than 0.3%.

A new kind of power function exponential reaching law was designed based on exponential reaching law.The intelligence features of the exponential function were used to associate the speed of the trajectory with the distance of velocity to the sliding mode surface,and adaptive adjustment was implemented.The reaching law could suppress the chattering of the exponential reaching law when it crossing through a sliding mode surface.The power function exponential reaching law was applied to the Buck converter.A specific Matlab/Simulink module was presented,and the simulation verified the effectiveness of this method.

The control strategy of multi-UAV arriving simultaneously to attack multiple targets under uncertain environment was studied.By using auction algorithm together with interval consensus algorithm,a control algorithm of multi-UAV simultaneous arrival under uncertain environment was proposed.At first,a task assignment method for multi-UAV to multi-target was presented through auction algorithm.After that,interval consensus algorithm was defined,and control method for multi-UAV simultaneous arrival under uncertain environment was presented,achieving the object of multi-UAV arriving at multi-target simultaneously in an interval value.Simulation was made,and the results demonstrate the feasibility and effectiveness of the method.

In order to ensure the reliability and availability of weapons and military equipment,regular or irregular tests are needed to monitor their performance,and each test requires multiple measurements.Normally,the impact of measurement is not considered in the storage life prediction of the weapons and military equipment,which may result in inaccurate prediction of the storage life due to using directly the performance degradation data.This paper proposes a method for storage life prediction taking the impact of measurement into consideration.According to whether it is tested or not during storage,the degradation process is divided into the storage condition and the working condition.Based on which,a new degradation model is established.Then,the degradation model parameters reflecting working condition and storage condition are separated by Bayesian theory and the EM algorithm,and the prediction result of storage life is obtained.A degradation trajectory during storage is predicted through equipment performance testing data,and is compared with that of the conventional life prediction method.The result verifies the practicality and effectiveness of the proposed method.

To satisfy the requirement of field test and special test to high stability of the absolute encoder,technological improvements were made to the traditional absolute encoder processing circuit.In the processing circuitry,A/D converters are used for collecting the amplified and shaped analog signals.The processing to photoelectric signal was implemented through software,including comparison,subdividing,decoding,correcting, averaging, and parameter tuning etc.The actual rotation angle of the shaft angle was converted into natural binary digital code.The practical demonstration projects proved that the encoder system is stable.