Frequent track initiation often happen when radar tracks dense formation targets. Due to the need of merging formation members' tracks, a formation target recognition algorithm based on sliding window track association is proposed. A two-track formation recognition model based on weighted track association decision is given firstly. Then, circulated threshold decision is used for multiple tracks' formation separation. At last, sliding window of multi-time formation recognition confirming and formation merging are undertaken to generate the merging track. Simulation results show that: the algorithm can recognize formation target and generate merging track whether the formation is maneuvering in parallel or is making crossing moving in which frequent track initiation happens.

To deal with the long time-consuming problem of existing UAV route planning methods, a rapid 3D route planning method based on improved A* algorithm is proposed. This method adopts hierarchical strategy, makes use of an A* search algorithm based on Dynamic Time Warping (DTW) Distance to plan a 2D route firstly. Then, a height planning method based on particle sedimentation algorithm is proposed to plan the 3D route on the basis of the 2D route. To further enhance the real-time planning ability in condition of meeting sudden threat, an online replanning method is proposed. This method adopts large-step A* search to generate a series of guidance points, then uses DTW-path to implement route re-planning. Simulation results show that the proposed method can obtain a feasible path and significantly shorten the planning time.

To the issue of tracking the ground moving target by formation of Unmanned Aerial Vehicles (UAVs), this paper presents a new strategy for the formation control in dynamic environment by using virtual structure together with behavior-based control method, with the UAVs distributed uniformly on a spherical surface with the virtual or actual leader as the center. A controlling variable designed by Lyapunov vectors is used for guiding the UAV formation to track the ground target. The obstacles are transformed into elliptic potential fields, and the tangent vector leads the UAV to avoid the obstacle with smooth trajectories. After passing the obstacles, the formation can be reconfigured and continued to track the target. Simulation result verifies the effectiveness of the proposed approach.

To the issue of tracking the ground moving target by formation of Unmanned Aerial Vehicles (UAVs)this paper presents a new strategy for the formation control in dynamic environment by using virtual structure together with behavior-based control methodwith the UAVs distributed uniformly on a spherical surface with the virtual or actual leader as the center.A controlling variable designed by Lyapunov vectors is used for guiding the UAV formation to track the ground target.The obstacles are transformed into elliptic potential fieldsand the tangent vector leads the UAV to avoid the obstacle with smooth trajectories.After passing the obstaclesthe formation can be reconfigured and continued to track the target.Simulation result verifies the effectiveness of the proposed approach.

In order to solve the overshoot problem of acceleration tracking due to inaccurate model when tracking maneuvering targets with cubature Kalman filter, we made study on the square root filter and memory attenuation filter, and proposed a square-root cubature Kalman filter improved by memory attenuation factor, i. e. , Memory Attenuation Square-root Cubature Kalman Filter(MASCKF). Firstly, a simplified square-root cubature Kalman filter based on linear state equation was deduced for improving the real-time performance of the algorithm. Then, memory attenuation factor was applied to the link of time updating of the simplified algorithm. Therefore, the weight of new measurement data was increased during the estimation, and the overshoot of acceleration tracking was well suppressed. Experimental results demonstrate the effect of the new algorithm on overshoot suppression, which can improve the accuracy and real-time performance of target tracking.

Based on EX algorithm for error estimation of fixed multiple sensors, and considering the Euler angle bias of the airborne sensor, we proposed an improved error estimation algorithm, named as EEX, for estimating the error of airborne multi-sensor system exactly. Extended Kalman Filer (EKF) was used to linearize the non-linear measurement equation. The same random point targets were used, the decoulpling between the target state estimation and the sensor bias estimation was achieved without approximating the cross-covariance between the state estimate and the bias estimate. Simulation results show that: compared with MLRM method, EEX algorithm improves the estimation accuracy by nearly 30%. In addition, the additive noises of pseudo-measurements of the sensor bias obtained through state estimation are all white Gaussian noise with zero-mean and known variance, thus the estimation result is very close to the Cramer-Rao Lower Bound (CRLB), which means that the proposed estimation is statistically efficient.

Through analysis to the firepower assignment progress in air-to-ship attack, the air-to-ship firepower assignment model is established with the largest destroying effectiveness against main targets and the least time difference of arrival as the object function, and the limitation of the total number of the air-to-ship firepower, the limit of assigned amount for a single target, and the total length of anti-ship missile route planning as the constraint conditions. The model is solved by using Non-dominated Sorting Genetic Algorithm (NSGA-II). The feasible solution set of the model is obtained by designing of the algorithm and programming of Matlab. The result of the simulation analysis verifies that the model is feasible, and the calculation results can provide an accurate and reliable firepower assignment decision support for commanders.

Spectral matching has strict requirements to stability and accuracy of the spectral curve, while the spectral curve in hyperspectral image data is influenced by many factors. An automatic search flat field strategy is designed based on the flat field method. An improved preprocessing method is proposed for hyperspectral images on the basis of dark-object subtraction and empirical method commonly used in the other research areas. Thus automatic reflectance inversion based on hyperspectral image data is realized. Experiments using three different images show that the method of this paper is more accurate and robust than the traditional methods, and can effectively improve the effect of spectral matching.

Under the background of navel air-defense of key positions, analysis is made to the key influence factors of target assignment problem under Dynamic Fire Access (DFA), and the constraint conditions on time, space and resource are presented. Then the methods for calculating the ready-to-launch zone as well as the deadline of integrated firepower unit are given. The assignment problem is considered as the optimal matching among launch node, guide node and target. The Anytime algorithm based on Discrete Particle Swarm Optimization (DPSO) is designed for solving the assignment problem. Simulation result shows that the algorithm can obtain the optimal assignment scheme rapidly under given constraints of time, space and resources.

measuring is achieved by double-difference observed quantities, which is based on “Position-Velocity Integrated System”. It is proved that PWCS theory is appropriate for this kind of system's observability analysis. Observability of the system under different N Asset Coverage is studied, and their ability of attitude measuring, sun as precision, is compared by simulation. The results show that, while the N Asset Coverage is more than 4, the system become completely observable. In such cases, the filtering parameter of navigation system can get convergent rapidly with a good precision. While continued increasing the N Asset Coverage and observed quantities of attitude measuring on this basis, the precision and convergence rate will not improve accordingly.

A global quantum satellite communication scheme that transmits information by single photon through free space is proposed. To reduce the influence of atmosphere, this system mainly adopts ground to satellite communication and satellite to satellite communication, assisted with the ground to ground communication. Analysis is made to the impact of the atmospheric channel, the background noise and the Faraday effect of geomagnetic field on the choice of wavelength, and the feasibility of the communication scheme is studied. Simulation analysis is made to this scheme's link attenuation requirements. The result shows that the communication scheme can satisfy the requirement of the communication link.

An attitude control method is proposed based on Eigenaxis rotation to satisfy the rapidity demands of kinetic kill vehicles, and realize rapid attitude tracking of target. Eigenaxis rotation is considered as an optimum maneuver mode since it can provide the shortest angular path for the attitude tracking. Based on error kinetic equation, the control algorithm achieves Eigenaxis rotation in the process of controlling attitude angles by introducing error quaternion and angular velocity. The globally stability of the algorithm is proved using Lyapunov function. Finally, mathematical simulation is conducted, which demonstrates that the algorithm can realize the shortest path of Eignaxis rotation with smooth maneuvering process and high precision.

In order to land on aircraft carrier autonomously, the altitude of UAV relative to the carrier must be measured precisely to determine the landing position. Traditional GPS/INS integrated navigation system can not satisfy the requirement since it has low precision on estimating the height of UAV when it is below 30 m, and is not capable to locate the target area. Therefore, we proposed a new integrated navigation method combining Millimeter Wave Radar (MWR) with GPS/INS. Aiming to solve the problem of unknown parameter estimation in MWR/GPS/INS integrated navigation system, Extend Particle Filtering (EPF) algorithm was proposed, which was parallel with Extend Kalman Filtering (EKF) algorithm. EPF algorithm modeled unknown parameters by Gaussian random walk process, regarded unknown parameters in dynamic mechanical system as a part of state variations, and then estimated the state variations in extend nonlinear dynamic mechanical system by particle filtering algorithm. Simulation verified the effectiveness of the proposed algorithm and the feasibility of using the integrated navigation system in UAV autonomous landing.

The reconnaissance and tracking to a target can be realized through the airborne stabilized platform for loitering munitions. The tests for platform stability, target tracking and servo control performance are all very important, but flight experiment is extremely difficult. By using the idea of Hardware-in-the-Loop (HIL) simulation, an HIL system was designed and manufactured for simulation test in the laboratory. The system composition, working principle and key technologies are presented in the paper. Results of experiment indicate that the system meets the design requirements and reaches a certain accuracy. It can provide a new idea for algorithm research.

This paper focuses on the design of Helmet-Mounted Display(HMD)digital display interface, which is related to the recognition performance of the pilot. Due to the specificity of the HMD see-through display and the changing backgrounds, there are new demands for forecolor selection. Through experimental means, by taking vernier acuity as a measurement method, and the accuracy and reaction time as the indicators, we made comparison to the relatively optimal values of forecolor symbols under conditions of brightness and saturation of the typical sky background samples. Experimental results showed that: 1) The color HSB value(120° 33% 33%) and(120° 99% 33%) were better recognized under the daytime and all-weather condition;and 2) The color HSB value(120° 33% 66%) was better recognized during the night time. The conclusion provides a scientific reference for HMD aiming interface design.

For the purpose of analyzing the blanket jamming effect of the dense deceptive targets, a new jamming method for improving the jamming effect of the dense deceptive targets is proposed.Power distribution of multiple deceptive targets after pulse compression, generated by intermittent sampling of Linear Frequency Modulation (LFM) radar signals, is analyzed firstly.Then, the influence of dense deceptive targets jamming on radar detection of CA-CFAR is analyzed.The ideal jamming effect is achieved by adjusting related jamming parameters based on power distribution of multiple deceptive targets.The simulation results show that this method can improve the jamming effect greatly.

B-values analysis and processing in multiple reference consistency check is critical for integrity monitoring of GNSS landing system. Considering the problems of the traditional processing method that it is not sensitive to the sources of failure and it is difficult to judge whether the failure comes from the satellite or the receiver, we studied the improved B-values fault detection algorithm based on C-values. The new processing method uses the rule of maximum likelihood estimation, and by fabricating C-values based on satellite data, setting up the relevant threshold values, and analyzing and comparing the variation of C-values, it can make comprehensive analysis to the possible failures based on B-values processing. Experiments show that the new processing method is very effective in fault analysis, especially for satellite faults. Besides, it also improves the level of system availability.

The current test system for a certain type of missile has insufficient coverage for the calibrating/ leveling/collimating combination test, thus a new intelligent fault detection system was designed. In the system, synchronization detection of software and hardware based on the feature point coverage is adopted, and modular design based on PC104 bus is used for the hardware modules. The system is compact and portable, and has the characteristics of high fault detection speed, high intelligence, and comprehensive fault detection coverage.

Vibration has direct impact on the reliability and stability of the optoelectronic equipment in the airborne environment. Reasonable anti-vibration design can effectively isolate the vibration passed from the aircraft to the optoelectronic equipment, and guarantee the stability and tracking accuracy of the equipment. We made a deep analysis to the anti-vibration failure exposed at the beginning of the design of an airborne optoelectronic equipment, and found that it was caused by the increasing of system twist vibration due to the eccentricity of the anti-vibration system. Then, improvement was made to design of the anti-vibration by synthesizing the feasibility and operability of different methods such as gravity center adjustment, damper position adjustment, damper stiffness matching and structural optimization. The results of simulation and test show that the improved scheme can effectively isolate the vibration of the aircraft, and obtain good anti-vibration effect.

The coverage of ground station obtained via the traditional method based on the visual domain analysis can not accurately describe the practical performance of the system coverage. An irregular topography ADS-B ground station signal coverage analysis method is proposed in this paper. First, according to the characteristics of the irregular topography channel, specific simulation algorithm of Longley-Rice model is derived, and the model is used to simulate the ground-to-air communications channel. Second, the antenna that meets the requirements of ADS-B standard is simulated, and the radiation range of signal in free space is calculated out. Then, analysis is made to the sightline range cut-off caused by terrain shading. Finally, taking a certain area as an example, comparison is made with other algorithms by verifying the forecast range with the actual data. Experimental results show that: 1)The irregular topography is the key factor influencing the ground station signal coverage; and 2)Longley-Rice model can accurately simulate signal attenuation. The method in this paper provides a theoretical support for the location selecting of ground station.

Considering the lack of scientific and effective methods for testability verification of armament at service stage, we proposed an implementation process of testability verification of armament at service stage based on full demonstration and research. The method for calculating the lower limit of sample size was presented, and data classification and unifying collecting table were given according to different levels of test and maintenance. The method for calculating point estimation and one-sided lower confidence limit was given based on binomial distribution, including the method for evaluating the conclusion of testability verification. Testability data of autopilot and control combination of a certain missile at service stage were taken as an example. Data analysis and conclusion of testability verification were carried out. The result shows that the proposed method is simple, practical and effective for testability verification, which provides a new idea of testability verification of complicated equipment at service stage.

Aiming at the problems that the Adaptive Correlation Algorithm (ACA) uses single theoretical threshold and the Mahalanobis distance correction method is unreasonable, we proprose an improved adaptive correlation algorithm for real-time rocket engine fault detection on the basis of existing research. The improvements are: 1) The empirical threshold obtained from the historical data of the engine is used together with the theoretical threshold as judgment criterion; and 2) Mahalanobis distance is corrected by removing 1 to 3 parameters that contribute the largest deviation to data mean. Under the given false detecting rate of 5%, simulation data demonstrate that the improved algorithm can give timely and accurate fault detection result, and can effectively solve false alarm problem when outliers exist.

Aiming at the general problems of wideband array radar, i. e. , beam pointing drift and main lobe width jitter caused by aperture fill, we deduced the causes through basic signal theory and array processing technology by using chirp signal as the transmitted signal, and analyzed their influence on beam-pointing and beam-width of the radars under different relative bandwidth. According to the theoretical analysis, a stable method for wideband beam forming was proposed, combining fine adjusting technique of array element carrier frequency with time-domain resambling. Theoretical analysis and simulation results demonstrate that with this method, the beam pointing and the main lobe width of the beam of wideband array radars can keep stable within a pulse duration. Meanwhile, with characteristics of simple structure, small calculating amount and fast speed, the method is applicable to real-time systems and convenient for engineering implementation.

To the high-density, random deployed sensor network, a deployment strategy based on data fusion is proposed, in which D-S fusion perceptual model is used, and the high-density random deployment algorithm is transformed into a triangle deployment issue under certain quality of coverage. All the original sensor nodes are divided into triangular grids, the scope of data fusion is controlled within the deployment of grid by D-S theory for reducing cooperation energy. The simulation results show that the algorithm can effectively improve the detection reliability with a small redundancy, average energy consumption, and extended life of network.