Ballistic target infrared imaging is the basis for processing the early warning information of missiles.A simulation method was given for simulating the infrared imaging of space-based infrared warning system to ballistic midcourse target.First,the point source imaging model of space-based infrared imaging was established for midcourse target.Then,the simulation architecture of space-based infrared imaging was constructed for ballistic midcourse target based on Satellite Tool Kit/Electro-optical Infrared Sensor (STK/EOIR).Finally,simulation was carried out for the infrared imaging of midcourse target (group) on multiple platforms and multiple wavebands.Analysis was made to obtain dynamic imaging characteristics of the midcourse targets.

In order to realize fault prediction of equipments,the paper uses the Support Vector Machine (SVM) as the basic learning algorithm,and adopts the weighted SVM regression method to assign relatively larger weight to the mutation point,so as to enhance the training of the mutation point and improve the fault prediction accuracy.By using the adaptive weight clipping method,the sample points with smaller weights are eliminated by calculating the regression weights of the sample points.Meanwhile,the number of samples participating in the training is reduced so as to improve the forecasting speed.Finally,the fault prediction model is established by selecting the appropriate kernel function and related parameters.The validity and superiority of the algorithm are verified by taking a certain type of communication station as an example.

The cyclic shift characteristic of the circular array co-variance matrix was used to study the super-directivity theory of the circular array based on the optimization of the aggregation coefficient.The maximum aggregation coefficient,the optimal beam pattern and the optimal weighted vector expressed by elementary function were obtained.The beam gain and the robustness parameters of the circular array varying with the radius ratio,and their influence on the array directivity were analyzed.An analytic and closed solution of the super-directivity of the circular array was given,and a method for decomposing and synthesizing characteristic beams was realized.Based on the characteristics of the noise signal of the airborne sound source,four criteria that should be followed when designing the super-directional circular array for the noise of the airborne sound source were given.Based on the measured radiation noise characteristics of a helicopter,a small-scale,super-directional receiver array was designed,and its performance was analyzed. The superiority of it was proved by comparison with the conventional circular and linear arrays.

In view of the existing phase-difference algorithm's dramatic performance degradation in instantaneous frequency estimation for Linear Frequency Modulation (LFM) signals when Signal-Noise Ratio (SNR) is low,an improved algorithm is proposed based on N-order phase-difference.Firstly,based on phase reconstruction,the adaptive incremental threshold is set up to confirm the frequency ambiguity position for the frequency mutation caused by SNR threshold,and the loop iteration is utilized for interpolation correction.Then,instantaneous frequency is estimated by high-order phase difference by phase jump information,and the iterative reweighed least square method is used for linear fitting.Finally,the idea of self-adaption is introduced to deal with input signals with different frequencies,especially with low frequency.Simulation results show that,compared with existing phase-difference method,the proposed algorithm can keep low computational complexity while improving anti-noise performance,and the lower limit of input SNR requirement reduces by 4 dB approximately.

According to the characteristics of the terminal guidance phase of air-to-air missiles,a scheme of common aperture IR-imaging/laser-ranging compound seeker optical system is proposed,which can implement precise detection and tracking of typical aerial targets.The seeker design scheme includes two modes:passive IR imaging mode and active laser ranging mode.The former is used for target searching and acquisition,and the later is used for obtaining precise missile-target range information.In the compound seeker,the two modes share the common optics system.The compound seeker can not only meet the requirements of the large field-of-view for target searching and acquisition,but also improve the guidance accuracy of the proportional guidance by using the precise range information.

Aiming at the characteristics of the infrared and visual image,an algorithm for image fusion based on Non-Subsampled Contourlet Transform (NSCT) and hybrid particle swarm optimization is proposed.NSCT is used for decomposition of the infrared and visual source images.To the low-frequency sub-images,an improved weighted average method based on regional averages is adopted for neighborhood fusion.To the top layer of the high-frequency sub-images,the fusion method of “choosing the biggest” for the regional standard deviation is adopted;to the other layers of the high-frequency sub-images,the hybrid particle swarm optimization is used for selecting the threshold value,and the neighborhood algorithm based on the average gradient selection is adopted for fusion.Finally,NSCT inverse transform is utilized to obtain the fused image.The experimental results show that the method can obtain the ideal fusion image and more detail information.

Through a dynamic analysis of the quad-rotor aircraft,the mechanical equilibrium equation was set up,a mathematical model of the quad-rotor aircraft was established and its state space expression was obtained.The linear quadratic design was used to control the system,and the unstable open-loop system was constructed into a stable closed-loop system,and the linear quadratic optimal control expression was provided.In order to solve the problem that it is difficult to determine the optimal weighted matrix,the weighted matrix was optimized by using the Genetic Algorithm (GA),so that the optimal weighted matrix can be found out.The optimal control system of the quad-rotor aircraft was simulated on Matlab and Simulink,and was compared with the linear quadratic control based on the experimental method.The results show that:owing to the linear quadratic optimal control based on GA,the quad-rotor aircraft has nice dynamic performance.

SURE-DSS, a method for blind separation of radar signals with noise was proposed based on Stein's Unbiased Risk Estimate Singular Value Thresholding (SURESVT) and Denoising Source Separation (DSS). First, SURESVT was used in place of the singular value decomposition of DSS for obtaining the optimum threshold of the singular value for the observed data, under Stein's unbiased risk estimation principle. Then, the singular values of the observed data were compressed to improve the signal-to-noise ratio while implementing data whitening. At last, the whitened data was separated blindly. The simulation results show that the proposed method can separate the mixed signals effectively for the array model with noise.

The task allocation for multiple UAVs is a complex multi-constraint,multi-objective,nonlinear optimization problem.Aiming at the defect of each commonly-used intelligent algorithm,and based on the characteristics of fireworks algorithm,this paper proposes an improved adaptive fireworks algorithm to deal with the problem.The mathematical model of the problem is built firstly,then,the weight of each index is obtained by using AHP together with the gray correlation method.The model is then transformed into a problem of unconstrained,single-objective extremum value by using the external penalty function method.After that,the adaptive fireworks algorithm is used to solve the model.In order to verify the superiority of adaptive fireworks algorithm in dealing with this problem,several different optimization algorithms are used for simulation.The experimental simulation results show that,the adaptive fireworks algorithm can quickly converge to the global optimum solution,and the result intuitively describes the reasonable task allocation scheme under complex situations.

The multi-sensor fusion estimation problem is investigated in the paper for a class of uncertain systems with stochastic sensor gain degradation.Firstly,the model's uncertainty is described by stochastic parameter perturbations considered in the system matrix.The sensor gain degradation is described by a random variable whose expectation and variance are assumed to be known.Then,a kind of local unbiased estimator is proposed,and an optimization problem is established by taking the matrix weighted fusion estimation error as the cost function,and the local filter gains as the decision variables.Considering that obtaining the closed form of the optimal consensus filter gains is a challenging problem,a set of sub-optimal local filter gains are computed based on minimizing an upper bound of the cost function.Finally,a simulation example is given to confirm the effectiveness of the proposed approach.

A finite-time control scheme under input constraints is proposed for a class of nonlinear systems with high-order mismatched uncertainties,based on finite-time Lyapunov stability theory.First of all,a finite-time controller is designed by utilizing the technique of adding a power integrator.Then,when the output of the controller exceeds the bounded upper output,the Backstepping feedback idea is used to verify that the system is stable in finite time after the controller reaches saturation,thus to realize the segmentation of the input constrained problem.It is proved mathematically that with the proposed scheme,the closed loop system is stable in finite time,which ensures that the output of the controller designed with the proposed method is always within the given allowable saturation limit,and the controlled system is stabilized in finite time.Simulation results have proved the effectiveness of the proposed method.

Magnetic navigation algorithm is the key to geomagnetic aided navigation systems. At first, the basic principle of the magnetic matching algorithms is analyzed. On the basis of this, the research status and improving methods are summarized from four aspects of characteristic space, relativity measurement, search space and search strategy. The introducing of various new methods supplies some new ideas to modify the matching method. Finally, based on the problems appeared in engineering applications, the improvement strategies of the geomagnetic navigation algorithm are pointed out, which can be taken as a reference for the algorithm's engineering application.

This paper studies the issue of laser disposal of ammunition.It's necessary to solve the problems of the traditional undirected energy systems in dealing with Unexploded Ordnance (UXO),such as long preparation time,too many operation staff members,too many operational projects,too many service links,low safety coefficient and the difficulty to dispose scattered ammunition.First of all,the advantages of the directed energy system in removing UXO are expounded.For example,it is safe,fast,costs low,operates covertly,with controllable effects,compatibility,maneuverability and no noise.Secondly,the recent development of high-energy laser weapons at home and abroad are reviewed,especially in using the laser to destroy UXO,Improvised Explosive Device(IED),and mines.Thirdly,the technical requirements of the laser UXO disposal system are put forward.For example,it needs to be “viewable,target-reachable and controllable”.Further more,the key technologies of laser disposal system are pointed out,including the multi-sensor detection technology,the reliable,compact and high-energy laser technology,and the mechanism of lasers and dangerous explosives.Finally,the existing problems and solutions are analyzed.

In order to solve the problem of low accuracy in ultrasonic characterization of defect detection,a new method based on BP neural network and D-S evidence theory is proposed to identify defects in ultrasonic inspection.Firstly,a fusion model based on BP neural network and evidence theory is proposed.The BP neural network is used to fuse the feature layer,and its output is taken as the basic probability distribution function of the evidence source.Secondly,in the fusion of decision-making level,the validity of the evidence source is evaluated by introducing an effective factor λ to evaluate the reliability of the evidence source.Therefore,all the evidence sources are fused after the reliability evaluation.Finally,the defect data of a certain type of aeronautical material are obtained by means of ultrasonic testing,and the method proposed in this paper is verified.The results show that:compared with the traditional D-S evidence theory,this method can identify the flaws more accurately and improve the accuracy of flaw recognition.

Considering that in airborne SoC design,the traditional verification platform has low efficiency,poor reusability,and is difficult to meet the practical aviation verification needs,we used advanced verification methodology of Universal Verification Methodology (UVM) and the “register model backdoor access” method to control the expected output of the reference model,and constructed a test platform and verification environment for test of the IP core of the multi-channel airborne bus transceiver.Thus the function verification of data receiving and sending,format conversion and multi-channel data patrolling is realized.The verification results show that the test platform has good reusability,which can meet the requirement of aviation application verification and shorten the airborne electronic hardware development cycle.

With the widespread application of integrated modular architectures in avionics system,partitioning should be taken into account in the design of Flight Management System (FMS).We made ananalysis to software hosted rules under integrated architecture,studied the partition requirement of ARINC702A,and proposed a partitioning design scheme for implementing flight management functions.Finally,the core functions of FMS were developed,and a testing method was given.Our research can provide a reference for the development of FMS for integrated modular avionics system.

In view of the aberration of optical systems,a wave aberration correction method based on liquid crystal spatial light modulator is proposed.As to infinity imaging(parallel light),digital wave-front phase-shifting interferometer is used for accurately measuring the wave-front of an optical system,thus to obtain the wave-front data matrix.As to finite focus distance,Zemax simulation is used to obtain the wave-front data matrix.With Matlab,the aberration fitting program is compiled and the conjugate wave-front data matrix is changed to a corresponding 8-bit conjugate gray-scale image in BMP format.According to the phase modulation principle of liquid crystal spatial light modulator,the conjugate gray-scale image and wave-front distortion correcting image of the modulator are loaded on the silicon based LCD panel.The imaging resolution reaches 1348 LW/PH,is higher than that of 337.8 LW/PH without loading the gray-scale.The test shows that,the imaging quality of photographic systems can be notably enhanced by loading conjugate gray-scale images of wave-front data.

In order to predict the frequency of the frequency-agile radar of rotary-tuned magnetron,the transition vector of frequency variation trend is defined.Then,the nonlinear equation set for estimating the tuning parameters are transformed into linear equation set.Finally,a frequency prediction method based on the least squares estimation is proposed.Compared with the existing methods,the proposed method has lower requirements on the data quality,and is more adaptive to the complicated application environment.Experiment results based on the measured data indicate the effectiveness of the proposed approach.

Positioning mark points are often adopted when operating the existing hand-held laser scanners,which may shelter some of the data.To solve this problem,a new method based on the homography matrix and the Hof line extraction method is proposed for data splicing,which can avoid sticking the mark points in the scanning process.The experimental results show that the 3D-point cloud data can be obtained accurately by using this method,and the splicing error is below 1 mm.

A new multi-frame state estimation mechanism is introduced to deal with the situation of target undetected under low detection probability.A Gaussian mixed probability hypothesis density filter based on multi-frame state estimation mechanism is proposed.The mechanism builds the historical weight matrix and the state extraction identifier for each target based on the target weights of the different time steps.In the process of target tracking,when a continuous-moving target is missed at some time steps,the current state of the target is estimated based on the weight matrix of the association target and the state extraction identifier,through the multi-frame state estimation mechanism.The simulation results show that the algorithm proposed has strong robustness,and can improve the target tracking performance greatly under the situation of low detection probability and relatively high clutter rate while ensuring the tracking effectiveness.

A method was proposed for navigation mapping under complex indoor environment by using theimage sensor.Firstly,the pose of the camera was estimated based on VSLAM,and we got the 3D point cloud after the back-end optimization.Secondly,the ground point cloud was selected,and the ground plane equation was obtained based on the random sampling consensus algorithm.Finally,after projecting the point cloud of robots' passing area to the 2D grid map and updating the occupancy state of the grid by using Bayesian method,the indoor navigation mapping was implemented.Experimental results show that:1) The accuracy of indoor navigation map based on VSLAM can meet the navigation requirements,and 2) Different from the traditional mapping based on laser,the map based on VSLAM contains 3D environment structure information.In the path planning experiment,the planned path avoided the error of passing through the low objects and the suspended objects.

In the wireless communications system,the cooperation of users with eavesdropping relay may result in the leakage of information.To ensure their communication security,it's necessary to pay the cooperative jammer for the jamming power.In order to improve the user benefits under secret communication,this paper presents a power allocation mechanism combining relay with jammer based on the Stackelberg game.In the case of the eavesdropping relay cooperative forwarding and the idle user collaboratedinterfering,a tripartite game model is established based on Stackelberg game,where the communication user is regarded as a power-buyer and the relay and idle users are regarded as power-sellers.Simulation results show that the proposed joint power allocation mechanism will converge to some value which is not only the maximum utility of all nodes after several iterations,but also the maximum security capacity of the sender.The security capacity improves by 0.2 (bit·s-1) ·Hz-1 than that of relay with full power,which improves the safety performance of the user.

During the development of an aircraft,the software of Stores Management System (SMS) often requires redevelopment and upgrading maintenance due to the constantly changing of needed weapons.To solve the problem,the concept of plug-and-play was brought out.We hope to apply the plug-in technology to SMS and thus to realize the integration of new weapons with no or just a little modification to the main program.In this paper,an introduction is made to the basic principles of the plug-in technology and its realization method.Then,several key technologies for using the plug-in technology in SMS are summarized according to the composition and functions of SMS.In addition,the solutions of key technologies are presented,such as the function partitioning of weapon-integration platform and plug-ins,the design of plug-in interface,invoking process of plug-ins etc.A demonstration platform is built up to verify the effectiveness of our method.