Modern Defense Technology

Assessment Method of Covering Capability of Ground Air Defense Weapon during Point Air Defense Combat

DAI Jin-jin, LI Xiang-min, BO Ning, WU Xiao-he

2018, 46(4): 1-7. doi:10.3969/j.issn.1009-086x.2018.04.001

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Against the background of point air defense combat, an assessment method of covering capability of point air defense weapon is proposed under the given position deployment conditions. The definition of covering area is given combining with the maximum route shortcut and the covering depth; and the solutions of covering angle range are discussed respectively when the firing area is bigger than/equal to/smaller than bomb-dropping area. The detailed solution method of the two circumstances is proposed combing with the maximum route shortcut, its corresponding azimuth angle and the intersection azimuth angle. The validity and adaptability of the method is verified through simulation.

Application Prospect and Development of Near Space Low Dynamic Aircraft with Turbofan Engine

ZHONG Ling-ling

2018, 46(4): 8-13. doi:10.3969/j.issn.1009-086x.2018.04.002

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Near space aircrafts are getting more and more interests from military field. The characteristics of low dynamic aircraft with turbofan engine are analyzed. By investigating the current foreign development situation of the low dynamic aircraft with turbofan engine, the prospects of its military application and the thought about how to develop this kind of aircraft in China are introduced.

Low Velocity Fragment Dispersal Technology of Lethality Enhancement Vehicle

LIANG An-ding, HUANG Jing, HE Yong, SUN Xing-yun

2018, 46(4): 14-20. doi:10.3969/j.issn.1009-086x.2018.04.003

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The scheme of lethality enhancement vehicle with explosive as driving energy is proposed to meet the technology demand of lethality enhancement vehicle. The dispersal structure of low velocity mass fragment with explosive as driving energy is analyzed, and the theoretical formula of fragment velocity is deduced. The scheme of the vehicle fragment dispersal ring is designed and five groups of experiments are conducted. The experimental measurement values are compared with the theoretical calculation results of the fragment velocity, and the relative error is not more than 9.1%. It is concluded that the lethality enhancement vehicle can be realized by the driving structure with explosive, the function is more responsive compared to the gunpowder driving way, and the dispersal structure is more concise, feasible and easy to realize.

Multi-UAV Cooperation Path Planning Based on Decomposition Strategy and Niche Clonal Selection Algorithm

YE Wen, ZHAO Jian-zhong, LÜ Xiao-feng, LIU Hua-wen

2018, 46(4): 21-26. doi:10.3969/j.issn.1009-086x.2018.04.004

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A method combining decomposition strategy with niche clonal selection algorithm for multi-UAV cooperation path planning problem is put forward. While constraining the UAV to arrive at the target simultaneously, the decomposition strategy is proposed, and the niche clonal selection algorithm can search multiple feasible paths for each UAV. The application of the coordination variable and coordination function approach is applied to multi-UAV cooperation path planning problem. The simulation results show that the method can solve multi-UAV cooperation path planning problem effectively.

SINS/Odometer Integrated Navigation Based on Strong Tracking Filter

CHEN Yu, WANG Jian-bo, ZHANG Ling-dong, CAO Quan, CHEN Shi-ye, LIU Yu-hang

2018, 46(4): 27-32. doi:10.3969/j.issn.1009-086x.2018.04.005

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Aiming at the problem that the vehicle odometer scale factor changes in real time due to the influence of tire pressure and temperature, a method of SINS (strap down inertial navigation system)/odometer integrated navigation based on strong tracking filter is presented. The property that the residual sequences of Kalman filter are mutually orthogonal is used to adjust fading factor adaptively. The strong tracking filter has the ability to track the sudden change state. The average velocity matching method is proposed to eliminate the influence of vehicle vibration and odometer quantization error on integrated navigation. The lever arm error is adopted into the state variables to eliminate the influence of inaccurate lever arm on integrated navigation when the vehicle is turning. The SINS/odometer integrated navigation model is built. The actual vehicle integrated navigation experiment is carried out. The results show that the positioning accuracy of integrated navigation is better than 1‰D.

Position Transformation System and High-Accuracy Control Method for Rotation-Modulation Inertial Navigation System

PENG Hui, CHEN Ling-gang, LI Yan-sheng, XUE Qing-quan, LI Xun

2018, 46(4): 33-39. doi:10.3969/j.issn.1009-086x.2018.04.006

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The strap-down inertial navigation system with rotation-modulation has raised a higher requirement for the precision of position transformation system; and aiming at this requirement and based on the DC (direct current) torque motor, a position transformation system and a control method are proposed. The revolving transformer to measure the angle and the DC torque motor to drive the position transformation system are used to study the position-velocity-current PID (proportion integration differentiation) control loop. The feed-forward control method and saturation correction algorithm are proposed to realize the high accuracy of the position control for the transformation system. The Simulink numerical simulation results show that the control method is effective and the control precision can satisfy the design specification requirement. Under actual test conditions, the field-test results show that the method is practicable; the adaptability for the environment and the control precision can meet the design requirements.

ADRC Controller Based on PWPF for Impulse Lateral Thrust

WEI Ya-li, WANG Fei, XU Xin-peng

2018, 46(4): 40-44. doi:10.3969/j.issn.1009-086x.2018.04.007

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There is a growing need for interception missile that can work above 35 km in order to cope with the threat from near-space hypersonic vehicles. The attitude control system employs six constant thrust on-off jets and only identifies the pulse on-off signals to track the target steadily. The pulse-width pulse-frequency (PWPF) is applied to make the continuous variable be equivalent to on-off variable. To overcome the interference, the attitude control system is designed using active disturbance rejection control (ADRC). The PWPF makes the continuous control signal be on-off signal and achieve controlling attitude of the missile. The simulation result shows that the output signal of the ADRC controller is more adaptive to be used with PWPF, and the ADRC controller has better rapidity and stability.

Human-Computer Interaction Design of Blue Army Navy Command and Control Systems

ZENG Peng, HE Zhong-wen, ZHANG Xiao-fang, LI Ruo-yan, TANG Zhen

2018, 46(4): 45-52. doi:10.3969/j.issn.1009-086x.2018.04.008

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The incidents of United States Ship (USS) Stark and USS Vincennes during the Iraq and Iran war made US navy realize that it was a big challenge to make efficient tactical decision under real combat pressure. US navy started a number of programs applying humancomputer interaction (HCI) technologies to deal with it, such as TADMUS. An interface of a prototype decision support system (DSS) from TADMUS program was analyzed, and the system was successfully tested by US navy tactical officers in shipboard aegis combat systems combat information center. Some command and control (C²) systems design suggestions were studied to enhance the commanders' awareness of the tactical situation, which in turn contributed to greater confidence, lower workload, and more effective performance.

Radar Active Jamming Resource Assignment Algorithm Based on Game Theory

HAN Peng, LU Jun-dao, WANG Xiao-li

2018, 46(4): 53-59. doi:10.3969/j.issn.1009-086x.2018.04.009

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Based on the locations of communication command aircraft, jammer and radar, the interference effect evaluation indicators are designed. Considering the benefit of each jammer, the final objective function is determined and the jamming resource allocation decision is solved with the game theory. Feasibility and existence of the Nash equilibrium (NE) in this game are proved. An iterative algorithm of jamming strategy selection is designed and jamming resource allocation decision is solved. Simulation results show that the iterative algorithm of jamming strategy selection indicator proposed is a good solution to the radar jamming resource allocation problem and has certain significance for actual operational command.

Modeling Method of Command and Control Network Based on Multi-Attribute Weighting

PAN Cheng-sheng, XIONG Wen, QIU Shao-ming, WANG Yun-ming, CHEN Bo

2018, 46(4): 60-66. doi:10.3969/j.issn.1009-086x.2018.04.010

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The existing edge connection method based on C²(command and control) network model can only reflect the importance of local network nodes and only focus on the network connectivity, so it is difficult to reflect the lack of network local features. To solve this problem, a method of constructing command and control network model based on multi-attribute weighting is proposed. The node own attributes including command capability, and node task related degrees and spatial distance are defined. The degree and the betweenness are combined, and the local and global characteristics of the network are considered comprehensively to express the nodes' network properties. Combined with self-attribute weighting, command and control network edge-link strategy algorithm based on multi-attribute is designed. The simulation results show that the proposed network model has the characteristics of free-scale, higher network efficiency and stronger network invulnerability.

Adaptive Dual-Polarization Canceller Algorithm for Countermining Radar Jamming

CHENG Tian-zhen

2018, 46(4): 67-72. doi:10.3969/j.issn.1009-086x.2018.04.011

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Due to the rapid development of electronic technologies, antijamming has become a great challenge to radars. An adaptive polarization canceller algorithm which benefits from the selectivity of dual polarization radars is presented. This algorithm uses the jamming sampling data to calculate the optimum weight coefficient based on the least output power rule and is applied to the target sampling data to achieve jamming cancellation. Simulations and examinations prove the performance of the algorithm.

Status Quo and Development Trend of Countermeasure Technology for Underwater Precision Guided Weapon

LI Jie, MAO Qi-ming, CUI Guo-ping

2018, 46(4): 73-78. doi:10.3969/j.issn.1009-086x.2018.04.012

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A brief introduction on underwater precision guided technical characteristic of torpedo and its primary countermeasure technical structure are introduced. The current conditions of the difficult submarine underwater countermeasure technology are analyzed. The mobile decoy technology, having synthetic target simulation and intelligent countermeasure capability, forms its technology structure featuring “far and near integration, soft-kill combined with hard-kill, acoustic and magnetic integration”. And the underwater and water-surface universal technology will be fulfilled in the future. Via the trial test, the typical multi-combined countermeasure technology is validated to be mature and reliable. The development trends are also discussed.

Rocket Connector Auto-Docking System Detection Based on Machine Vision

WANG Jian-bo, CHEN Yu, BAI Huan-xu, ZHANG Tao-yuan, QIE Xiao-bin

2018, 46(4): 79-85. doi:10.3969/j.issn.1009-086x.2018.04.013

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The automatic docking process of connector and rocket valve is studied, and a bias measurement system based on dynamic azimuth detection alignment technique is proposed. The deviation value of the connector with the fill valve is obtained and defined as the initial value. The image of the cooperative target is obtained by the optical camera. The camera pose in the two-dimensional plane is quickly extracted by identifying the direction of the target image and the marker size; and the laser sensors are used to accurately obtain the distance information between the target and the camera. The deviation value between the connector and the fill valve can be obtained in real time through this measurement system. It is applied to the automatic docking system, and the results show that the method meets the technical requirements of the automatic docking displacement accuracy 1 mm of the rocket.

Detection Algorithm for Small and Weak Target Based on LSSVM Combining Spectral Dimension Information

KANG Hong-xia, HUANG Shu-cai, HUANG Wen-long, WU Jian-feng

2018, 46(4): 86-91. doi:10.3969/j.issn.1009-086x.2018.04.014

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The detection of the space-based infrared warning system usually dwells on the infrared images processing. A new detection method based on least squares support vector machine (LSSVM) combining spectral dimension information is discussed by analyzing the spectral dimension data and the low signal to noise ratio. Artificial bee colony algorithm is used to optimize the kernel function and regularization parameters, using F measure function as the fitness value. A LSSVM classifier is designed under small training set conditions, using the plume infrared spectrum of four typical missile types as training samples. The detection effect shows that the model of artificial bee colony algorithm optimization achieves better results compared with grid search algorithm, particle swarm optimization and genetic algorithm especially under low signal to noise ratio.

Multi-Level Recursive Trajectory Prediction for Hypersonic Gliding Reentry Vehicle

ZHANG Kai, XIONG Jia-jun

2018, 46(4): 92-98. doi:10.3969/j.issn.1009-086x.2018.04.015

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To provide priori information of situation and threat assessment and interception defense for hypersonic gliding reentry vehicle, a multi-level recursive trajectory prediction method is proposed. Referring to the theory of multi-level recursive, the method compensates for the unknown parameters of prediction model stochastically. Accordingly, the trajectory prediction problem is decomposed into prediction of aerodynamic parameters and prediction of the target trajectory. The dynamic model is carried out by augmenting the aerodynamic parameters into state vector, and the mix estimation is done for the aerodynamic parameters and model error. The time series forecasting is performed using the estimation of aerodynamic parameters. Based on the prediction of aerodynamic parameters, the dynamic integral equation is used to predict the target trajectory. Two scenarios for different flight modes are designed to analyze the influence of tracking and prediction time on prediction accuracy. Simulations show that the algorithm has a stable and reliable capability for trajectory prediction.

Tracking Model for Near Space Hypersonic Gliding Missile

YU Chen-long, TAN Xian-si, WANG Hong, QU Zhi-guo, XIE Fei

2018, 46(4): 99-106. doi:10.3969/j.issn.1009-086x.2018.04.016

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To improve the tracking accuracy of the hypersonic gliding target in the near space, a novel maneuvering model is established based on the change rule of flight path angle. In order to estimate the position and velocity of the target in the radar measurement coordinate system, the angle of the target's trajectory profile is analyzed. Because of the similar change rule between the change rate of flight path angle and that of the inclination angle, it is proposed to use the inclination angle instead of the flight path angle for establishing the maneuvering model. The change rate of inclination angle is described as a zero mean sinusoidal autocorrelation stochastic process and a Markov model is established. The angular relationship is mapped to the positional dimension for establishing a spatial model. To make the system state model linear, the model is divided into the front-end angle sub-filter and the back-end position sub-filter, and the angle sub-filter drives the position sub-filter for tracking. The parameters of the model are set through simulation. The experimental results show that the model has better tracking accuracy.

Fast Block Adjustment with Large-scale UAV Remote Sensing Images

DU Juan, XUE Wu, ZHAO Bei-lei

2018, 46(4): 107-112. doi:10.3969/j.issn.1009-086x.2018.04.017

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With the rapid development and widespread application of unmanned aerial vehicle (UAV) remote sensing, the block adjustment of large-scale UAV images has become an important research content of remote sensing image processing. To solve the problem of computer memory overhead and time consumption in large-scale UAV image block adjustment, a fast and efficient solution is proposed. The traditional block adjustment procedure is optimized. The matrix Schur's complement preconditioned matrix is used to reduce the number of unknowns and the matrix's condition number respectively. The conjugate gradient truncation-Newton method greatly improves the speed of the solution of the normal equations. It gives full play to the computational potential of the hardware platform and accelerates the matrix operations by parallelizing the CPU with the GPU. The experimental results show that the proposed solution can handle tens of thousands of UAV images with high efficiency.

Radar Target Recognition Based on Cross Validation GRNN

LIN Yue, XIA Hou-pei

2018, 46(4): 113-119. doi:10.3969/j.issn.1009-086x.2018.04.018

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As one of the important development directions of modern radar technology, radar target recognition is of great significance to the future weapon system. Aiming at the problem of translational sensitivity in high resolution range profile (HRRP) in preprocessing, the global minimum entropy distance alignment algorithm is used to accurately align the range profile and improve the accuracy of distance alignment. To improve the accuracy of radar target recognition, a new method of target recognition based on generalized regression neural network (GRNN) is proposed. The K-fold cross-validation method is used to train the neural network, and the optimal value of the smoothing factor spread of GRNN neural network is found according to the mean square error (MSE). The optimal input and output values of the target recognition training samples are obtained. By contrast, GRNN neural network with optimal smoothing factor spread will greatly improve its convergence speed and generalization ability. The simulation results show that the radar target recognition based on the improved GRNN neural network can obtain higher and more accurate recognition accuracy.

Joint Target Detection and Tracking Method Based on Plot-Track Quality Evaluation

ZHANG Yu-tao, ZHOU Xi-chen, KUANG Hua-xing, XIA Yong-hong

2018, 46(4): 120-126. doi:10.3969/j.issn.1009-086x.2018.04.019

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Aiming at the problem of detection and tracking of weak target under the complex environment, a dynamic programming method based on plot-track quality evaluation is proposed. The method combines the true echo characteristics of the target and the motion law of the target based on the traditional detection and tracking structure. In a single cycle, the concept of plot quality is put forward according to the target echo characteristics; during the cycle, according to the motion law of target, the possible target state is estimated. According to the Euclidean distance and azimuth equation between state estimation and measurement, a confidence factor is used to improve the indicator function combined with the plot quality. Simulation results show that the method can effectively eliminate the fake trajectory, reduce the calculation, enhance the probability of detecting radar weak target; and its structure is simple, easy to achieve in project.

Cognitive Testability: New Development of Maintenance Support Theory

MA Yan-heng, ZONG Zi-jian, LIU Xin-hai

2018, 46(4): 127-132. doi:10.3969/j.issn.1009-086x.2018.04.020

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The concept of cognitive testability, which embodies the requirements of equipment development, network and intelligence, is the new development of equipment support theory based on information technology. The concept and principle of the cognitive testability, the prognostics and health management (PHM) and the reliability centered maintenance (RCM) are introduced; the difference between cognitive testability, RCM and PHM is analyzed; and the index system of the cognitive testability is introduced briefly. The necessity and feasibility of the cognitive testability are expounded. Cognitive testability is the future development direction of equipment testability and will produce a far-reaching impact on the development of equipment.

Status Quo of Limit and Boundary Condition Acceptance Test of Equipment and Countermeasures

ZHENG Ning-ge, HE Wen-qing, LIU Guo-liang, LI Dan

2018, 46(4): 133-138. doi:10.3969/j.issn.1009-086x.2018.04.021

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Aiming at the problem that there are no standards and norms for the limit and boundary condition acceptance test of the current domestic conventional weapons and equipment and such test has limitations, combined with the information construction of the PLA and the actual requirements, the status quo of the limit and boundary condition test of foreign and Chinese conventional weapons is analyzed. The problems and gap existing in the limit and boundary condition test of domestic conventional weapons and equipment are studied. The main measures and ideas to solve such problems are presented.

Review on Dynamic Scheduling of Battlefield Rush-Repair Tasks

CHEN Wei-long, CHEN Chun-liang, LIU Yan, WANG Xiong-wei

2018, 46(4): 139-152. doi:10.3969/j.issn.1009-086x.2018.04.022

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Rapid and efficient implementation of dynamic scheduling of battlefield repair tasks is one of the important tasks for rush-repair force to achieve task differentiation and command control in wartime. The research status about battlefield repair at home and abroad is summarized from 8 aspects including basic research, legislation, team building, training and so on. The task dynamic scheduling is reviewed from 3 aspects: application, solving thinking and solving method. Suggestions and development directions about dynamic scheduling of battlefield rush-repair tasks are put forward, which provides direction guidance for solving the dynamic scheduling of battlefield repair tasks.

Design of Universal Satellite Integrated Test System Based on Classification Management

CHENG Peng, LUO Yue, HAO Jin-feng, GUO Yi

2018, 46(4): 153-162. doi:10.3969/j.issn.1009-086x.2018.04.023

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The satellite integrated test system, which is responsible for the control, measurement, data acquisition, information processing, excitation and simulation of satellite, is becoming more and more complex with the continuous development of satellite function, so it is very important to build a universal test platform for different types of satellites. A universal satellite integrated test system based on classification management is proposed. An integrated test system for generating different types of satellites can be rapidly constructed through hardware and software configuration, which features modularization, extensibility and configurability. Experiment proves that the system can meet the integrated test requirements of multi types of satellites.

Improved SLM Algorithm for Reducing PAPR of OFDM Radar

WANG Song-qiao, XIA Hai-bao, XU Yun-shan, LI De-fang

2018, 46(4): 163-168. doi:10.3969/j.issn.1009-086x.2018.04.024

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Orthogonal frequency division multiplexing (OFDM) radar signal has good resolution and high spectral efficiency; and OFDM radar signal based on chaotic binary-phase coded modulation is widely favored due to its flexible structure, better pulse compression performance and strong anti-jamming capability. However, the high peak-to-average power ratio in the system makes the OFDM radar limited in practice. A selective mapping (SLM) algorithm based on chaotic particle swarm optimization (CPSO) is proposed to reduce the peak-to-average power ratio for the OFDM radar signals modulated by different chaotic binary-phase coding sequences. The experimental results show that the SLM algorithm based on CPSO has better effect in reducing the peak-to-average power ratio of OFDM radar signal than traditional SLM algorithm and basic particle swarm optimization SLM algorithm.

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