The development of the C4KISR system is reviewed,and analysis is made to the characteristics of the fire control system.On which basis,the influence of networking and information condition on the fire control system is summarized.Then,the key technical requirements of fire control system under the condition of network and information are analyzed,and some suggestions for research and development of the new-generation fire control system are presented in the end.

Considering the fight conflict problems between Unmanned Aerial Vehicles (UAVs) and other aircrafts, we proposed a novel path planning algorithm without collision based on the disturbance fluid. The relative initial fluid is constructed based on the movement information of intruder. Then, the influence of intruder on the relative initial fluid is quantized by the disturbance matrix. The relative modified flow is obtained by the modulated relative initial fluid, and then the actual streamline is obtained, which is the planned flight path without collision. Meanwhile, considering the UAV's performance constraint, dynamic optimization is made to the reactivity parameter by using the receding horizon optimization method to ensure that the planned path is flyable. Simulation result shows that the algorithm can make real-time path planning with collision avoidance, which can satisfy the requirements of UAVs.

To solve target allocation problem in beyond-visual-range air combat,the model of attack dominance of our missile to enemy aircrafts was established from the perspective of attack.The threat model of enemy aircrafts to our aircrafts was established from the perspective of defense,and the air combat effectiveness model was established according to the air combat capability of aircrafts.According to the type and the air combat capability of enemy aircraft,the whole task allocation model was established based on the above three models.Genetic algorithm and auction algorithm was respectively used for optimizing the allocation model according to the different battle plan.The two algorithms characteristics and scope of application were summed up by comparing the allocation results,which provides a reference for future applications.The simulation results demonstrate that the combat mission is better fulfilled using the rational optimization algorithm according to the different intentions of enemy.

To analyze the bias of GPS/INS integrated navigation under GPS deception,the loose coupled integrated navigation model and GPS spoofing model were established.On the basis of these models,the analytic relationship between deception time-delay and GPS deception bias was deduced by using the method of multidimensional Taylor analysis,and the effect of GPS deception bias on the locating result of integrated navigation was analyzed by Kalman recursion.The theoretical derivation and simulation analysis proved that: 1)GPS deception has an effective jamming effect on the locating result of loose coupled integrated navigation;and 2)The bias in integrated navigation at the present moment is affected by the former bias and GPS deception bias at the present moment synchronously,and the former bias has greater weight.

To make azimuth estimation to two slow-fluctuation unresolved ship targets with monopulse radar,an angle estimation algorithm based on angle bound constraint and adjustable sliding window was proposed.In the case that the ships Radar Cross Section (RCS) fluctuation obeys lognormal distribution,the monopulse responses of the two ship targets was discussed,combined with the characteristics of the real part of monopulse ratio and effect of noise.The deficiencies of unstable estimation performance and existing error of the monopulse angle estimation mean algorithm were analyzed.The target echo was selected by bound constraint of half-power beamwidth,the sliding window of the monopulse angle estimation mean algorithm was improved.Based on the selected target echo,the monopulse angle estimation mean algorithm containing the improved sliding window was used to estimate the target azimuth.Simulation results show that the proposed algorithm has stable estimation performance,and has better estimation performance than the previous estimation algorithm under the same simulation conditions,which verify the validity of the algorithm.

For CP-GTD model,a novel method for two-dimensional full polarization scattering center parameter estimation based on the group sparse representation is proposed by using the group sparse characteristic of full polarization radar echo.In the proposed method,the parameter estimation of full polarization scattering centers is converted to the issue of group sparse signal reconstruction,and the adaptive grid refinement is used to divide the grid.Finally,coherent polarization scattering matrices are modified via the least square method.Compared with the method based on the combined spectral estimation,the proposed method does not need the quantity of scattering centers,which can avoid performance deterioration caused by incorrect scattering center quantity estimation,and can have a wider scope of application.The simulation experiments also show that the proposed method has a better robustness,and it is proved to be effective in full polarization scattering center extraction of target.

When attacked by the Anti-Ship Missile (ASM) with infrared guidance function, the surface warship need to use Infrared Decoy(ID) and infrared guidance Ship-to-Air Missile (SAM) cooperatively in reaction, where firepower conflict must be avoided. Analysis is made to the cooperative combat situation of ID with SAM, based on which a firepower conflict model is established. Then the simulation method is adopted to detect whether the firepower conflict between ID and SAM is existed or not during the combat, and a strategy of conflict resolution is given. The calculation results prove the validity of the model and the method, which can improve the anti-missile effectiveness of surface warship when using soft and hard weapons cooperatively.

The optimizing selection of radar network under jamming of multiple range false targets was studied. Firstly, a Mahalanobis distance model of false-target measurement point was built up. On which basis, analysis was made to the influence of non-central parameter to false discriminating probability of false targets. Then the relationships between non-central parameter and the relative location of radar network and target, deception distance, and radar measure error were discussed separately. Therefore, their influences to radar network false-discriminating probability of false targets were obtained. Simulation results verify the correctness of the analysis, which is of theoretical value to deployment optimization of radar network.

A new three-dimensional (3D) guidance law is designed by using the dynamic surface control method based on the vehicle-target dynamics in 3D coordinates,and the stability of the guidance law is proved.Some first-order,low-pass filters are introduced into the designing process to avoid the occurrence of high-order derivatives of intermediate variables in the expression of the guidance law,which makes it easy to implement in practical applications.Simulation results show that:1) The vehicle using this guidance law can obtain smaller miss distance in both the cases that the target is non-maneuvering and is making complicated sinusoidal maneuvering; and 2) When attacking maneuvering target,this guidance law can achieve higher guidance accuracy.

Radar High Resolution Range Profile (HRRP) is a key step in the research of ship target recognition. Considering that it is difficult to make actual measurement or scaling measurement to the HRRP of large naval vessels, we proposed an effective approach for obtaining radar HRRP to the naval ships based on theoretical modeling method. Firstly, three-dimensional CAD model of the naval vessel was established. Then, the model was parted based on the panel element method and shadow of panel element was calculated. The target frequency response over different attitude angles was obtained by using electromagnetic computing software. Finally, the radar HRRP was obtained by making inverse Fourier transform. Modeling and simulation are presented based on an actual ship target, and analysis was made to the simulation result.

The basic principle of the field-widened achromatic,temperature-compensated wind imaging interferometer (FATWINDII) is introduced.By using the equivalent and the approximation methods,the expression of the system responsivity in FATWINDII is deduced.The system responsivity can be improved by increasing the Field of View (FOV) and the transmittance of the FATWINDII.According to the structural parameters and compensation scheme of the FATWINDII,the air-equivalent length is 14.4 cm and the system transmittance is about 0.42.According to the specifications of Charge-Coupled Device (CCD) and the structural parameters of the FATWINDII,the variations of the system responsivity with the FOV and the pixel numbers are given analytically and simulated numerically.It is presented that the actual sensitive area is one over sixteen of the CCD in the FATWINDII laboratory space-borne simulation experiments.The study provides a theoretical basis and practical guidance for the design,development,calibration and data post-processing of the space-borne FATWINDII.

ICP algorithm is highly dependent on the initial value in frame-to-frame registration.To solve the problem,a new coarse-to-fine frame-to-frame registration algorithm is proposed.Taylor expansion algorithm is used to simplify the camera pose model.Then the coarse registration model is established using summation idea to improve the efficiency of coarse registration.Then,Singular Value Decomposition (SVD) is applied to obtain a coarse estimation of the camera pose,and ICP algorithm is utilized to improve the accuracy.Moreover,dual thresholds are preset in the stage of feature extraction and matching,by which both the coarse registration accuracy and the corresponding point amount of ICP are guaranteed.Contrast experiment was made.The result shows that:Compared with ICP and the improved algorithm RANSAC-ICP,the proposed algorithm can solve the above problem more efficiently,which can achieve equivalent accuracy as RANSAC-ICP algorithm with higher registration speed.

According to the accuracy and real-time performance requirements of image tracking system, a semi-physical simulation target tracking system was designed by using TMS320DM642 DSP as the core of control. The realization scheme of the function of both software and algorithm is presented in this paper. The hardware circuit is divided into three modules of video acquisition, video processing and peripheral interface circuit. Firstly, the target image's acquisition is completed by CMOS image sensor MT9V032, and the digital signal is transferred to DM642 through A/D converter unit. Meanwhile, the background differencing method and Mean Shift tracking algorithm are combined to determine the target location. The offset vectors are transferred to the servo system to drive the PTZ rotate synchronously for realizing accurate target tracking. The experimental results shows that the hardware design and algorithm can realize the real-time detection and tracking of moving target, and can provide feasible schemes for video tracking technology.

This paper focuses on multi-target tracking algorithm based on Random Finite Set (RFS).The Gaussian Mixture Probability Hypothesis Density (GM-PHD) filtering algorithm is improved,and an algorithm based on GM-PHD is proposed,which can be used in Infrared Search and Track (IRST) system for nonlinear bearing-only tracking.The algorithm makes Bayes estimation to state set and measurement set,and no data association is needed.Therefore,the algorithm overcomes the problem of the traditional data association based multi-target tracking algorithm that it is difficult to make data association under the conditions of strong clutter and unknown/changing target number.It can improve the tracking ability of the IRST while making real-time estimation to the number of targets.

An adaptive cloud theory filtering algorithm is proposed for salt and pepper noise removal,which divides the pixels of an image into signal part and noise part by means of the cloud maximum judgment criterion.The detected noise pixels are removed by using the adaptive cloud forecast,while the signal ones remain unchanged and are output directly.Experimental results indicate that:1) The proposed method can suppress salt and pepper noise and preserve image details effectively;and 2) The filtering effect of our method outperforms that of the traditional and the improved median filtering,especially under the condition of high-intensity noise.

Time Triggered Ethernet (TTE) is a kind of network that has high accuracy distributed clock synchronization mechanism,time/event triggering function and high data reliability.According to the development requirements of the aviation electronic integrated interconnection,the scalability and real-time characteristics of TTE network are analyzed.A method for simulating TTE network is presented,and the real-time characteristic of the time triggered Ethernet is verified.The simulation shows that TTE is suitable for distributed avionics interconnection network.

At present,application of SystemVue is mainly concentrated on communication field.It is rarely used in the radar system simulation.SymtemVue has superior performance in simulation,which can satisfy the needs of simulation system in radar network.This paper is focused on its application in data fusion system of radar network.Firstly,the basic situation of SystemVue is introduced briefly.Then,aiming at fire control radar network and combined with Matlab,the data fusion system construction is completed based on SystemVue simulation platform,thus the feasibility of using SystemVue for simulating data fusion system is verified.And at the same time,the visibility and flexibility of SystemVue in system simulation is proved.For its unique advantages,SystemVue simulation software will have great application prospect in the field of radar system simulation.

Air-to-Air Missile (AAM) should have the capability of being launched at any time, so how to hold the accuracy of initial alignment for a long time after entering the fight airspace is a critical problem. For the sake of transfer alignment application in the real AAM, a method for long-time rectification in flight with time delay compensation was studied. A Kalman filter for long time transfer alignment was designed on the basis of the general transfer alignment model. Simulations were made based on the real IMU and the 6 DOF mobile platform, and analysis was made to the simulation results. The result shows that the algorithm can effectively compensate for the time delay error, and realize the transfer alignment with a high accuracy (less than 0. 2°) in long-time rectification.

Aiming at nonlinear degradation data in occasion of Constant-Stress Accelerated Degradation Test (CSADT),a method for reliability assessment of nonlinear accelerated degradation based on Wiener process is put forward with consideration of individual performance degradation variation.The Wiener process is used to describe the degradation process of products.The time scale model is used to change nonlinear data into linear data.Drift coefficient of Wiener process is regarded as a random variable.The reliability model and accelerated degradation model are built up with consideration of individual variation.The Two-Step Maximum Likelihood Estimation method (TSMLE) is used to obtain the unknown parameters in the reliability model.An example is given to show the accuracy and superiority of the presented method.

Volume holographic grating of Dichromated Gelatin(DCG) made of different kinds of gelatin may have different characteristics in diffraction efficiency,bandwidth and noise,which determines the application areas of the volume holographic grating.The diffraction characteristics of the volume holographic gratings made of three kinds of gelatin are studied through experiments.The experimental result shows that: 1) With the same fabrication parameters,volume holographic gratings made of GC-1 gelatin and GC-3 gelatin exhibit high diffraction efficiency (nearly 100%); 2) The bandwidth of GC-1 gelatin grating is 46 nm,while the bandwidth of GC-3 gelatin grating is only 17 nm; and 3) The GC-2 gelatin grating has low diffraction efficiency and bad curve.The study can provide a reference for selecting gelatin in fabrication of holographic grating for different application areas.

To the fault diagnosis of radar reconnaissance equipment described with natural language,a fault diagnosis approach based on text classification and support vector machine was proposed.First,a fault feature lexicon was built up by analyzing the fault text sets and extracting the fault features.Then,the text vectors were represented with the Boolean model to construct the fault vector library.Finally,the diagnosis classification model was established by One-Against-One method of the SVM classification,and the parameters were optimized by using grid search method.And thus the fault diagnosis was implemented.The experimental result shows the effectiveness and the validity of the approach,and the maximum recognition accuracy of fault diagnosis could be improved to 90% ultimately.

The consumptive item supply support,which is very important for military aircraft integrated logistic support,is studied based on the multi-item joint replenishment.According to the aircraft support practice,the stochastic joint replenishment model is expanded,and a consumptive item stochastic joint replenishment model under resource restriction is established.With consideration of the limitation of stochastic joint replenishment iterative algorithm when processing the resource constraint problem,the range of the basic cycle time multiple is modified.A new improved adaptive genetic algorithm is proposed based on the genetic population characteristics,the individual characteristics and the population evolution phase.An example is simulated and analyzed based on some literatures.