Aimed at the strong nonlinear and non-Gaussian problems of target tracking system under compound K noise jamming, the Cubature Particle Filter (CPF) algorithm and Unscented Particle Filter (UPF) algorithm are applied in typical target tracking systems based on the compound K noise statistical model, and the tracking performance of the algorithm are analyzed through simulation.The experimental results illustrate that:1) Both the CPF and UPF algorithms have good performance in tracking moving target under condition with compound K noise;and 2) Compared with UPF, the CPF has higher tracking accuracy, better real-time performance, and lower complexity in the algorithm design.

Small-size Unmanned Aerial Vehicles (UAVs) have found an increasing application in GPS-denied environment.Stereo vision can be used for UAV target detecting, tracking and locating in complex environments.The thesis presents the techniques of binocular camera calibration, feature point detection, extraction and matching, binocular measurement and so on.It is implemented to track the specified target in image while realizing target positioning, with final calibration error within 0.2 pixels and positioning error within 10 cm.We made verification to the algorithm by taking a ground robot as the target to be tracked, and found that it can achieve a fine tracking result when the target has short disappearance time.

To the problem of nonlinear system identification, the nonlinear system is expanded in a linear regression form under one basis function set.When the basis function set is known, the problem of how to identify the nonlinear system is transformed to estimate the unknown parameter vector exists in the linear regression form.One penalty term about the unknown parameter vector is added in the cost function and the regularized least square method is applied to estimate the unknown parameter vector.When this basis function set is unknown, the constraint about prediction error is considered in the cost function.As to this constrain optimization problem, the optimal solution is solved from the primal-dual point and its bias is also analyzed.To avoid the priori information about the basis function, the multiply operation coming from the linear regression matrix is replaced by one kernel function defined in the least square support vector machine theory.Then the dual vector in the constrain optimization problem is denoted by this kernel function directly and further the formal nonlinear function can be also approximated by one weighted sum form which is consisted of the kernel function and dual vector.Finally the simulation example results confirm the effectiveness of approximating the nonlinear system based on kernel function from support vector machine theory.

A novel two-stage guidance law based on the virtual target is proposed to improve the performance of multiple missiles for long-range and effective penetrations.The guidance process is divided into the midcourse guidance and terminal guidance by a set of virtual targets on the periphery of hostile defense systems.In the midcourse guidance stage, the design of guidance law with impact time and angle constraints is transformed to the optimal control problem, and the missiles are controlled to arrive at the virtual targets at given time and angle.The final states of the cooperative missiles at the virtual targets are selected as the initial parameters of the terminal guidance.In the second stage, the decentralized coordination algorithm is proposed on the basis of the impact time control and consensus theory.Numerical simulations demonstrate that the proposed two-stage guidance law is feasible and effective to achieve the salvo attack of multiple missiles satisfying impact time and angle constraints.

In attacking the ships in coral island or reef area, there exist the disadvantages of complicated background and obstacles.Combination attack using multi-type Anti-Ship Missiles (ASMs) with different flight velocities, different trajectories and different guidance modes in multiple directions can improve the attack effect.Based on the influence of islands to missile path and target acquisition of radar seeker, and the angle required between adjacent missiles, an attacking angle coordination model is built up for coordinated attack of multi-type ASMs from multi-platform in attacking ships in coral island or reef area.The example shows that the model established can be taken as a theoretical reference for selecting reasonable angles for each missile.

According to the high resolution of UAV aerial images, the simplified Scale Invariant Feature Transform (SIFT) algorithm is used to extract the feature points and complete coarse matching.Considering the special access of aerial images, a new method for feature point purification is proposed based on course constraint.Experimental results show that this method can purify the matching points effectively, and the purification rate runs up to 25%.Compared with Random Sample Consensus (RANSAC) algorithm, the efficiency is nearly doubled while maintaining the purification rate.

A semi-supervised, cluster-ensemble based method for the classification of multi/hyperspectral images is presented.Spectral clustering is a graph theory based clustering algorithm taking similarity as the basis, and has become increasingly popular in recent years.It can deal with arbitrary distribution of dataset but with a drawback for being sensitive to the scaling parameters.Cluster ensemble techniques are effective in improving both the robustness and the stability of the single clustering algorithm.Cluster ensemble also has a character of good robustness and generalization ability.The processing method in this paper utilizes the merits of cluster ensemble and develops a consensus function based spectral clustering algorthm.The clustering components are generated by spectral clustering.The affinity matrix is generated by computing the SAM between different datapoints.The Nystrm method is used to to speed up the classification process.Thus semi-supervised classification to multi/hyperspectral remote sensed data is completed.Experiments show that the method presented here has an excellent classificaation result for both multispectral and hyperspectral remote sensed dataset.

To solve the problems of discontinuous superiority function C1 and steering command jitter triggered lateral divergence in current Artificial Potential Field (APF) based air combat steering algorithm, a new cubic B-spline fitted APF steering algorithm is proposed.The fitted comprehensive dominant function reaches the continuity of C2.Simulation result shows the effectiveness of the improved algorithm.The achievements could be applied in practical UCAV steering scheme in future.

Vector tracking is one of the key technologies in deep integration research.The traditional receiver tracking loop uses scalar tracking mode, under which the receiver loses satellite signals easily in high dynamic environment and suffers electromagnetic interference easily in weak signal environment.Centralized deep integration uses vector tracking algorithm.However, it is difficult to realize in engineering applications due to the highly nonlinear relationship between the measurements and state variables.Considering the above situation, a method of vector tracking algorithm suitable for cascaded deep integration is proposed.By analyzing the relationship between each tracking error and the discriminator output, a prefilter dynamic model is built up.The simulation results show that, compared with scalar tracking algorithm, the vector tracking algorithm based on prefilter has better tracking performance of code and carrier frequency in high dynamic environment.

A novel method is presented for image registration.Firstly, the image data is compressed based on wavelet transform to decrease the time required for subsequent feature point detection, then multi-scale Harris operator is used for detecting feature point set.Fuzzy sets are adopted to reduce the matching range of corresponding feature points.Two sets of feature points with minimum matching error are selected as the control point for getting an affine transformation matrix.And finally image registration is implemented based on the transformation matrix.Experiments show that this method can improve the speed of image registration obviously while decreasing the matching error.

An attitude revision method is introduced combining astronomical observation with inertial navigation data in ballistic missiles.Taking attitude error as the direct measurement of Kalman filter, a linear signal equation of the integrated navigation system is deduced out.Simulation verification is made based on the constructed ballistic missile trajectory generator.The simulation result indicates that the proposed integrated navigation algorithm can decrease the attitude error of missile, and improve the attitude measurement precision of missile to a certain extent.

The shortcomings of the methods for system architecture design and evaluation are summarized.Analysis is made to data characteristics and information fusion requirement of sensors in avionic system, and a system design approach is proposed based on modified JDL model and data fusion tree.The operating mechanism of the system architecture based on a combat case shows that:the system architecture has the advantages of dynamic configuration and less calculation cost, and can satisfy the requirements of command and control system.System evaluation method is introduced to make qualitative and quantitative analysis to two typical system architectures, which shows that the evaluation scheme is scientific and effective.

Fighter aircraft is the kernel part of information combat circumstance. The combat effectiveness of fighter aircraft depends more on the capability of information dominance than on the weapon's capability, thus it becomes difficult to evaluate the fighter aircraft's combat effectiveness. A method based on information dominance is brought forward for effectiveness evaluation of fighter aircraft in information warfare. An effectiveness evaluation model is established at first, which divides the whole combat process into four steps according to the application of information in the operational system, including battlefield early warning, battlefield reconnaissance, battlefield decision-making and weapon guidance. The state-transition matrix can express the change of the four states. Then, calculation formulas of information dominance capability in different steps are obtained by considering the operational capability, real-time performance and steal performance synthetically. And finally the operational effectiveness is obtained. The method can make quantitative evaluation to operational effectiveness of fighter aircrafts, and simulations show the validity of it.

The angular glint error is the main error source for seeker homing guidance when targets are closing to the radar. It may make the radar point to the space outside the target scale. Therefore, in order to improve the accuracy of angle measurement and tracking, the angular glint must be suppressed effectively. This paper proposed a method with a rank detector preprocessor based on frequency agility and RCS amplitude weighting. When target echo signals are received, the radar can wipe off the echo pulses that may produce strong angular glint noise depending on the output of detector. Therefore, these pulses do not participate in the weighted angle measurement. The simulation experiment shows that the method has fine inhibition effect to angular glint.

Aiming at the end effect problem existed in the signal decomposition process of Local Mean Decomposition(LMD), to further improve the instantaneous frequency precision of EMD signal measurement and to restrain the strong impact brought by end effect on signal analysis, the improved LMD algorithm based on the Gene Expression Programming(GEP)was described．In order to analyze the effect of the improved algorithm more precisely, comparison was made with the other three kinds of suppression methods, including mirror extension method.The simulation results indicate that the improved LMD algorithm based on GEP are superior to the other three traditional improved methods, and the divergence degree of each components both ends proves to be the minimum after the signal decomposition．In addition, the algorithm restrains the end effect brought by the decomposition process more effectively, and measures the instantaneous frequency of the original signal more precisely, which proves to be of higher application value．

The current situation and problems of avionics test systems are studied.The advantages of virtual instrument in the development of avionics test systems are discussed with its system structure.Structured, modular design concept is used in the system design.The hardware design is implemented based on GPIB instruments.And in software design, direct and indirect calling methods are used for control of the test instruments.

For the purpose of describing the state transition process of the components and making accurate estimation to reliability of a multi-state system, the Wiener-Markov Model was used to compute the state probability, and the Universal Generating Function (UGF) method was used for reliability analysis of the multi-state system.A Wiener-MM and UGF based method was proposed for reliability evaluation of multi-state system.Verification and illustration were conducted with a certain type of radar power amplifier.The result shows that:this method decreases the effect of component failure threshold on system reliability estimation, and improves the accuracy of system reliability assessment.Thus a new method is provided for preventive repair of radar power amplifier, which is of great engineering application value.

In order to simulate accurately the key parameters of echo signals for missile-borne radar under the condition of spinning, the paper sets up a spinning model during warheads're-entry, and deduces the mathematical expressions of such parameters as time-delay, Doppler frequency and echo power of the beam infinitesimal at a random angle. Finally, the correctness of the model and expressions is proved through simulation. The conclusion of the paper has an important referential significance for the accurate simulation of wide-beam radar echo in the future.

Dark current is one of the important factors that affect measurement accuracy of infrared detector, while the size and fluctuation of the dark current is mainly affected by the working temperature of the device.In order to meet the accuracy requirement of the temperature gradient and temperature control of device, we designed a high precision temperature control system by using two different control strategies including “limit slope” algorithm and incremental PID algorithm.Considering the operating characteristics of low voltage and large current of semiconductor cooler (TEC), we used a DC/DC convert to change the high voltage to low voltage, then used some transistors to control multi-channel TEC, in order to achieve the purpose of high conversion efficiency and get a “pure” output with low electrical noise.This temperature control system was applied to an InGaAs multi-channel detector.The result showed that:the detector temperature reached a stable state within specified time;and after entering the steady-state, temperature fluctuation ΔT is lessthan 0.02 ℃.The measurement accuracy of infrared detector can reach 0.2% as the temperature fluctuation ΔT is lessthan 0.2 ℃, so the design meets the requirement.

Aiming at the requirements of electromagnetic ultrasonic temperature test, we designed a new type of high-speed high voltage pulse power by using the power MOSFET as switching device, which is based on the theory of synchronous driving MOSFET.The power system uses the FPGA for producing the pulse trigger signal and the dedicated driver module of power MOSFET for driving.It can achieve the precise control that the pulse voltage is of 0~1.5 kV, the pulse frequency of 10 Hz～1.5 kHz, the pulse width of 3～30 μs and the pulses number of 1～100.Experimental data showed that the design of power system is reasonable with the time of rising edge reaching nano scale, which can meet the requirement of electromagnetic ultrasonic applications.

Traditional ARINC429 bus system has the drawbacks of large volume, poor flexibility, and low integration level, which can not meet the requirements of aviation testing and diagnostics with the development of avionic system.An ARINC429 bus system based on Android smartphones is proposed, in which Android is used as a platform for mobile client to develop application program, S3C2440 is used as hardware control module, and HI-8583 chip is used for sending and receiving ARINC429 data.With wireless network as the transmission medium, the data information interaction between mobile terminal and hardware control terminal, and the drive control of S3C2440 to HI-8583, are implemented.Multiple users are allowed to access and exit system at the same time.Through the combination of TcpDump and Wireshare, the correctness of the network communication is verified.Finally, the reliability of the system is proved through overall system verification.