Abstract:For the single input and single output linear system, a new method of approximately aggregated model reduction is presented by using the Moore-Penrose generalized inverse of a partial block controllability matrix as an aggregation matrix. Two aggregated order reduction models are presented firstly under the condition that the system is controllable and uncontrollable, and then a unique least error reduced model is integrated no matter whether the system is controllable or not. A simple method is deduced to compute the errors of all order reduced models, which are the distances from some known vectors to some certain subspaces. The errors of all order reduced models can be used as a model reduced order selection criterion and according to this the best order reduced model can be chosen easily. Some examples are shown to verify the validity and feasibility of this method.

Abstract:This paper establishes a mathematic model of computing attack area with limited condition after well considering engine’s thrust, atmosphere force, fuel consumption, wind, driving delay of rudder and other factors. In order to improve calculation velocity, the following measures is adopted, such as pre-estimate initialization distance, curve fit missile atmosphere parameter with high precision, adaptive variable step to integral missile kinematics equations and golden section method is used to find out near attack area and far attack area. Finally, the simulation is carried out. results indicate hiefly as fellow①attack area far distance climbs up and then declines with target entering angle's increasing,which reaches maximum at 180° degree and minimum at 0° degree;②attack area far distance gets something increase with initial velocity,but the amplification is not obvious; ③attack area far distance declines with altitude's drop.

Abstract:A networked multiple unmanned aerial vehicles cooperative operation system architecture is proposed under the condition of the "network-centric" warfare model, and taking electronic jamming unmanned aerial vehicle and unmanned combat aerial vehicle (UCAV) mixed formation cooperative operation as an object of study. Aimed at the problem of dynamic target assignment in multiple unmanned aerial vehicle cooperative air combat, a new threat assessment model is established based on the missile launching envelope analysis, and in consideration of the effect of electronic jamming, a target assignment model is established, and a new target assignment method is presented based on decentralized auction facility. The simulation results based on different combat scenarios indicate that the algorithm is adapted to the system's characteristics of distributed computation, presents the allocation scheme close to the ideal optimal effect within the restraint time, and is superior to the conventional methods in reliability and real-time effect.

Abstract:Aimed at a certain type of a single stage solid sounding rocket, trajectory, power and aerodynamic models are established in this paper. Taking the maximum height of rocket theory trajectory peak as optimization goal, the aerodynamic/power integrated optimization are realized by using the method of sequential approximate optimization to obtain a set of better parameters in conception design. In the whole process of optimization, the number of times for shifting model is less and the convergence is quick in velocity.

Abstract:Quick and precise detection and recovery of cycle slips are a key issue to be solved in high precise positioning of satellite navigation. In order to achieve high precision positioning, the interferometric Quantum Positioning System (QPS) must provide a good Position Dilution of Precision (PDOP). The PDOP is not ideal throughout coverage area under the influence of different baseline layouts. A new method of cycle slips detection and recovery is proposed by utilizing the precise quantum ranging of the interferometric Quantum Positioning System to locate at a certain direction in aid of a satellite navigation and cycle slips detection and recovery. The positioning equation of interferometric Quantum Positioning System (QPS) integrated with satellite navigation network RTK is deduced. Under the new positioning model Household transformations and Least-squares Ambiguity Decorrelation Adjustment (LAMBDA) algorithm are adopted to determine the Double Difference Integral Ambiguity (DDIA) of satellite navigation network RTK by means of precise quantum ranging. Cycle slips can be detected and recovered according to variation of DDIA. The simulation results show that the method can determine cycle slips in an epoch and recover the cycle slips correctly within subsequent short epochs.

Abstract:In view of the problem that in the existing methods some effect factors are ill considered which lead up to the calculation results deviating from the fact, an improved calculation method of detection probability of aircraft for sky-wave radar is put forward, and the impact of different ionosphere states on detection distance of sky-wave radar is concluded. Taking the variety of target RCS with gesture during flight through given track into account, a calculation model of target dynamic RCS is established. On this basis, the detection probability of aircraft for sky-wave radar can be gotten by using the models of instantaneous detection probability and the comprehensive detection probability. The results show that ionosphere state of Es blanket leads to a decrease in target detection probability by 0.273. And the values of target detection probability are in great difference under the conditions of the different tracks and gestures, and the maximal different value reaches to 0.253. The feasibility and the validity of the method are verified by using living examples.

Abstract:Aiming at the characteristics of nonlinearity, strong coupling and maneuvering, parameter varity and unique aerodynamics and so on in hypersonic vehicle, the method of neural network aided Kalman filtering for the near space hypersonic vehicle is proposed, and be applied to study of hypersonic target tracking by synthetically applying military operational research theory and method,system modeling technique, neural network technique and computer simulation technique, etc. The basic thought is making use of study capability of BP neural network to overcome the divergence problem in extended Kalman filter. After the extended Kalman filter, adding an error processing section makes filter concentrated. The simulation study shows that the algorithm is better than ones by extended Kalman filter. The Algorithm will have certain reference in target interception of hypersonic vehicle in Near Space.

Abstract:Circular sensing field is considered in this paper, a range-free localization scheme is proposed for wireless sensor networks (WSNs) by using four beacon nodes (BNs) equipped with a directional antenna. Each beacon node rotates at a constant angular speed and broadcasts its angular bearings and its coordinate. A sensor node can compute its location by sine theorem through receiving the angular bearings and the coordinates from the four xed beacon nodes. The proposed method is of lower computation complexity and without increasing the hardware cost of the sensor nodes based on an angle-of-arrival estimation technique. The mean localization error of the sensor nodes is the least when the four beacon nodes locate at the Sqrt(2)/2 radius of sensing field location range from the center of the sensing field. Error analysis and computer simulation show that the errors of the sensor node’s x-coordinate and y-coordinate increase with the increase of the square of the distance from origin and the product of angular speed and beacon distance. The algorithm shows the characteristics of high accuracy, robust and that the error is controllable.

Abstract:Firepower application is one of the core problem in anti-missile power construction, Firepower Planning of double-layer anti-missile combat in terminal phase is a Nondeterministic polynomial hard Modeling question. We analysis the problem, when to assign the interception missiles to the targets and give the model assumptions; Then we establish the direct interception missile assignment model in firepower planning of double-layer anti-missile combat This model break the research which targets only can be assigned to the weapon system or fire units in the past, assigned the interception missiles to ballistic missiles one by one, it's a new idea about firepower planning.

Abstract:Based on the practical characteristics of the resources for missile defense early warning system, the muti-agent technology is used to study the problem of how to schedule resource of missile defense ear1y warning system.And two agents which are resource management agent and resource agent are designed. Then, a method of fit value computation of a scheme is given, and the optimization scheme has the maximum fit value. For reducing the time of creating scheme, an improved particle swarm optimization algorithm—self adaptive probability particle swarm optimization (SAPPSO) algorithm is designed, in this algorithm, every element in a particle will be changed by the probability which decided by the fit value of scheduling scheme, this course shows how the particles think. By analyzing a real case, and through a contrast with other methods, the result shows that the SAPPSO algorithm can quickly focus on a better value, which can make the scheme meet the operational requirements.

Abstract:Aimed at the parameter extraction of Linear Frequency Modulation (LFM) signal, an novel parameter extraction method is proposed in this paper based on Erosion transform and Hough transform. First, LFM signal is described by using B-distribution analysis method. On the basis of this, the Erosion transform is utilized to highlight the characters of radar LFM signal, and then Hough transform is employed to extract LFM signal parameters. The simulation indicates that the method can not only extract the parameters of LFM signal in precision,but alsohas a good anti-noise performance.

Abstract:Image segmentation algorithm is sensitive to intensity of illumination. The different intensity images are not usually segregated availably based on one kind of algorithm, and therefore in this paper a method of image segmentation based on Spiking Cortical Model (SCM) is proposed. Firstly, choosing different stages membership function to approximate characteristics of dynamic thresholding attenuation. Secondly, choosing the different criterion function to suit for different intensity image based on the difference of bright image and dark image. The Experiments show that proposed algorithm could obtain the segmentation result availably and more details information of image. And it has the stronger robustness, which is better than the improved pulse-coupled neural networks、the improved Intersecting Cortical Model (ICM) and two-dimension OTSU.

Abstract:For the sake of improving jamming efficiency of band-limited Gaussian noise to GPS military signals, this paper use code tracking error of GPS receiver as the jamming effect evaluation index to optimize band-limited Gaussian noise jamming frequency offset and bandwidth under given JSR. On the basis of analysis GPS P(Y) code and M code signal power spectrum characteristics, according to operating principle of non-coherent early-minus-late power DLL, the expression between jamming frequency offset and bandwidth with code tracking error is obtained through theoretical derivation. Based on practical condition to set the DLL parameters of receiver, the efficient band-limited Gaussian noise jamming frequency offset and bandwidth to P(Y) code and M code signal is simulated and calculated quantitatively under the different JSR respectively. Taking the minimum JSR of causing DLL lock-lose as primary opting criterion, at the same time to consider the influence of jamming implement complexity and frequency domain filtering, the conclusion of comprehensive compare show that when the JSR within 50~60 dB, the jamming frequency offset and bandwidth to P(Y) code is set to 0 and 8.8 MHz respectively, the jamming frequency offset to M code of BOCsin and BOCcos modulation is set to 9.833 MHz and 10.9 MHz respectively, the jamming bandwidth is set to uniform 10 MHz.

Abstract:Aimed at the problems of the task assignment and results fusion in fault diagnosis of the complex equipment, a certain type of ground-to-air missile fault diagnosis task model is described to make up for the weakness of CNP underutilization of empirical knowledge, and the case-based reasoning and CNP are combined. The traditional CNP task assignment method is improved, the detail description of algorithm is given, and the scope of the tender and the bid evaluation strategies are studied deeply.In order to solve the diagnosis results conflicts for the involvement of multiple diagnosis resource, the diagnosis fuzzy fusion algorithm is improved. The example of fusion results shows that the deviation of group decision can be corrected effectively.

Abstract:In view of limitations of the circuit board fault diagnosis technology on infrared images, in this paper, the intelligent diagnosis method is analyzed. In the method of neural networks, the multiple classifiers are turned into a dichotomous thinking, and an integrated neural network diagnosis model is designed based on BP neural network. For the same type of faults, samples within a range are trained in the network, and for each group of the measured fault data and the several sub-threshold selected, the diagnosis is made according to the characteristics. Finally, the living examples are simulated and tested by using MATLAB. The results show that the recognition accuracy is improved，the detection sensitivity can be increased by 1.74 times, and the prediction error is decreased to 17.6 % of the original prediction error of the more-fault-mode network. This provides a theoretical basis for the practical circuit fault diagnosis.

Abstract:In order to improve the performance of the space-time block codes in multiple input and multiple output communication system, this paper proposes a new kind of quasi-orthogonal space-time block codes (QOSTBC) combined with the constellation rotation. Through the constellation rotation quasi-orthogonal space-time block codes (CR-QOSTBC), a certain decoding of simplicity can sacrifice themselves to avoid the bit rate decreased when the number of orthogonal space-time block codes (OSTBC) is greater than 2 to encode with LDPC code. The multiple input and multiple output communication system can be used to solve the problem of the multipath effect, and obtain high diversity gain. The simulation results show that this new kind of coding method can effectively reduce the bit error rate, and can also improve the performance of the system compared with the QOSTBC system without the constellation rotation. When the bit error rate is 10-5, the CR-QOSTBC combined LDPC can improve by 1.8 dB compared with the QOSTBC combined LDPC. When the bit error rate is 10-3, the CR-QOSTBC combined LDPC can improve by 5.3 dB compared with the QOSTBC.

Abstract:The study of the dynamic interaction between adjoining rock and structure is important to decide the load of underground structure scientifically and to analyze the dynamic stability of adjoining rock.The rock characteristics are important factors. And it is difficult to study through prototype test because the blast loading is a destructive load. The nonlinear dynamic finite element procedure of ANSYS/LS-DYNA is applied and the fluid-solid coupling algorithm is selected to study with different spans and the detonating distances constantly changing. The result shows that the mechanics status of big-span is completely changed compared with that of the structure of small-span. And different laws of rock types for structures with different spans are obtained. The study shows that dynamic interaction is remarkable between large span structure and surrounding rock of remote explosion.

Abstract:Aimed at solving the problem of particle impoverishment introduced by resampling while relieving degeneracy , a method of fission with selection bootstrap particle filtering (FSBPF) is proposed. At the moment of resampling, effective particles are picked up.The effective particles at this moment corresponding to the particles at last moment are called fission elder generation particles. The number of fission filial generation particles is in direct proportion to the weight of each effective particle, and the filial generation particles are subjected to a filtering and a generation selection . After an iteration, the weights of the new particles can be got according to the measures and the weight formula, and particles with larger weight are chosen to replace the ineffective particles at this time. The results of Monte Carlo simulations show: comparing with the fission bootstrap particle filtering (FBPF) and the random resampling particle filtering (RRPF), FSBPF are more precise in filtering results, increased in effective particles and lower in the speed of degeneracy.