Modern Defense Technology

UCAN Air Combat Threat Assessment Based on Interval Number Fuzzy Comprehensive Evaluation

WANG Guang-hui, XU Guang-da, XIE Yu-peng, Lu Chao

2018, 46(6): 1-6. doi:10.3969/j.issn.1009-086x.2018.06.001

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Aiming at the characteristics of fuzziness and uncertainty in the information of threat factors of air combat, an unmanned combat aerial vehicle (UCAV) threat assessment model is established based on the interval number and fuzzy comprehensive evaluation. The interval number is used to express the weight value of each threat factor and to establish the fuzzy relationship between the enemy unit and the threat factor by fuzzy comprehensive judging method, which can effectively overcome the defect that the threat weight value of the constant vector type determined by the traditional method cannot reflect the ambiguity of the threat degree for the air combat threat, the insufficient uncertainty, and the error that the expert assignment of the expert in the determination weight can be compensated. Simulation results demonstrate the effectiveness of the proposed model.

Trajectory Prediction Algorithm for Reentry Glide Vehicle Based on Control Law Prediction

YE Ze-hao, BI Hong-kui, DUAN Min, LI Fan, ZHU Yuan-cai

2018, 46(6): 7-14. doi:10.3969/j.issn.1009-086x.2018.06.002

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Aiming at the cruise segment trajectory prediction problem of near space reentry gliding vehicle, a trajectory prediction algorithm based on control law prediction was proposed. By analyzing and deriving the unknowns in the trajectory prediction and studying the flight modes and control laws of the cruising segment, the feasibility of trajectory prediction was clarified. The discriminating methods of two kinds of flight trajectories are studied: balanced gliding and jumping gliding. On this basis, a trajectory prediction algorithm based on control law prediction was designed. The algorithm was verified by simulation. The influence of tracking time and tracking starting point on trajectory prediction accuracy was studied. The results showed that the algorithm had high accuracy for different types of trajectories; the tracking time had a great influence on trajectory prediction accuracy; but the impact of tracking start point was small.

Early Warning Information Generation Method for High Orbit Early Warning Satellite

ZHOU Tong, ZHANG Ya-sheng, ZHOU Hai-jun, HAN Jing-bin

2018, 46(6): 15-23. doi:10.3969/j.issn.1009-086x.2018.06.003

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Aiming at the process of transition between high orbit early warning satellites and long range early warning radars in the course of missile defense, two issues were investigated: ballistic error propagation and missile warning information representation. The calculation process of ballistic error propagation using CADET was described. For the results of the error propagation, four kinds of early warning information models, which included the probability ellipsoid model, the probability spherical model, the uniform ellipsoid model, and the uniform sphere model were proposed. The missile warning information of different granularities was calculated using the four models. The simulation results showed that the early warning information models established described the missile state more fully.

State Estimation Method for Ballistic Missile over Shutdown Point

DU Guang-yang, ZHENG Xue-he

2018, 46(6): 24-29. doi:10.3969/j.issn.1009-086x.2018.06.004

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The kinematic models of the powered phase and the free flight phase of a ballistic missile are different. The accurate estimation of the shutdown state is of great significance to the handover of the tracking information processing mode. Based on radar tracking, the thrust acceleration is used as the eigenvalue to estimate the shutdown state. The observational equation is derived. In view of the nonlinear problem of the observation equation, the recursive least square (RLS) algorithm is used to obtain the recursive estimation of the thrust acceleration by the linearization of random variables. Through the error analysis, the method of calculating the threshold of shutdown state is given. The simulation shows that the estimation method can give the shutdown state results in time and accurately.

Acquisition Probability of Anti Ship Missiles for Targets in Reef Islands Areas

LUO Mu-sheng, HOU Xue-long, WANG Zong-jie, WANG Pei-yuan

2018, 46(6): 30-35. doi:10.3969/j.issn.1009-086x.2018.06.005

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Aiming at the acquisition probability calculation of anti ship missile (ASM) when attacking target in reef island area, the radar searching process and target acquiring requirements were analyzed and the target selection rules of terminal guidance radar were given. The calculation models of acquisition probability under the influence of reef islands were built. The target acquiring criterions which integrated distance, azimuth, resolution, and target selection constraint were presented. Based on probability distribution function, the scattering of ASM programmed flight termination was studied; the surface target motion model was built; and their influence to the probability calculation was analyzed. The acquisition probability with target indication coordinates located in different positions around reef islands and with different search sector angle were simulated. The results showed that the acquisition probabilities were lower when surface target near the island or located at strip area behind the island and higher even if surface target was located at close distance of the front side of the island; and a smaller search sector angle was better if surface target was close to the island.

Ballistic Missile Target Recognition Method Based on MIMO-FNN Model

LIN Han, LI Chang-xi, CHEN Li-juan

2018, 46(6): 36-43. doi:10.3969/j.issn.1009-086x.2018.06.006

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According to the characteristics of ballistic missile target fusion recognition, analyzed the single sensor multi feature multiple input multiple output fuzzy neural network(MIMO-FNN) model and the multi sensor single feature MIMO-FNN model. On this basis and combined with the realistic process of ballistic missile target fusion recognition, a multi sensor multi feature MIMO-FNN model was proposed. This model first took the output of every single sensor multi feature MIMO-FNN model as input, and calculated the fusion weight of every sensor by expert knowledge, then used the sum product fuzzy inference and weighted summation to ambiguity resolution, and got the results of fusion recognition. The simulation showed the feasibility and effectiveness of this model.

Active Section Optimal Midcourse Guidance Law with Controlled Amount Variable Weights

MA Zi-ru, WEI Ming-ying, LI Yun-qian

2018, 46(6): 44-50. doi:10.3969/j.issn.1009-086x.2018.06.007

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Considering the change of the velocity of missile in the active section flight in the guidance of the active section of the terminal high altitude interceptor, the angle constraint of the final velocity was required to meet and the control amount was required as small as possible. To realize these constraints, in the index function, an optimal guidance law by adopting the time varying control weight coefficient was obtained, using the minimum principle, as well as pseudo control method. The simulation results showed that the method of adding variable weight in this index function can control the size of the control while guaranteeing the precision.

Reentry Attitude Control Based on Fault Adaptive Sliding Mode Control

HAN Jia-jun, WANG Xiao-hu, WU Xu-zhong

2018, 46(6): 51-56. doi:10.3969/j.issn.1009-086x.2018.06.008

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In order to satisfy the requirements of reentry vehicle attitude control under the uncertain fault and improve the robustness and adaptability of reentry control, a fault detection strategy and a attitude control method with actuator fault are introduced.For the dynamic model of reentry vehicle in fault case, a fault detection scheme is proposed by designing a nonlinear fault detection observer.An active tolerant tracking strategy is presented by making use of both adaptive control and sliding mode control techniques.Finally, simulation results are given to demonstrate the effectives of the developed fault tolerant control scheme.

Cooperative Detection Task Programming of Multi Sensor for Ballistic Missile Defense

DONG Chen, LIU Xing-ke, ZHOU Jin-peng, LU Zhi-feng

2018, 46(6): 57-63. doi:10.3969/j.issn.1009-086x.2018.06.009

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To the problem of several radars tracking several targets in ballistic missile defense, the cooperative detection task programming of multi sensor is investigated. Several chronological detection tasks are derived according to forecasted trajectories of targets. In each task, the optimal resource assignment of multi sensor is described by a 0-1 integer programming program. A cooperative detection scheme is obtained by solving all the problems. The constraints of detection capability and cooperative detection modes are observed. The task programming is demonstrated based on a hypothetical scenario of ballistic missile defense. The rational cooperative detection schemes are programmed. And several targets are tracked continuously and stably at various cooperative detection modes.

Programming Fusion Algorithm for Submarine Target Recognition

LIU Biao, XU Teng, LIU Shu-feng

2018, 46(6): 64-67. doi:10.3969/j.issn.1009-086x.2018.06.010

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Multi sensor data fusion has become one of the critical technologies for submarine target recognition. Based on the sensor report, brings forward a programming fusion algorithm for submarine target recognition, and gives an example for illustration. The optimized solution is obtained from the lingo software. The algorithm makes the recognition more accurate and more reliable.

Application of MODM Noninferior Solution in Network Target Protection Scheme Optimization

WU Tian-hao, WANG Jin-song, SONG Liu-yong, WU Shao-qiang

2018, 46(6): 68-74. doi:10.3969/j.issn.1009-086x.2018.06.011

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In view of the uncertainty of the indexes of target protection scheme as well as the inconsistency among indicators, an optimization design method based on Pareto optimal of multi objective decision making (MODM) is put forward. Combined with the practicalities of information based strategy, an evaluation index system for the target protection that meets the requirements of cyberspace confrontation is constructed. A mathematical model of protection scheme design is established. On this basis, the conductor acts upon his own preference to the weighting methods for obtaining a satisfactory solution to the optimization method. The model simulation test proved that the application of Pareto optimization of MODM narrows the decision range, achieves the purpose for improving the solution quality and benefits for the conductor to make scientific, reasonable and accurate decisions.

Multi-Sensor Track Association Method Based on SPA and DS Evidence Theory

YANG Jun-jia, YE Chen-liang, LIU Zhi-qing, LIAN Bo

2018, 46(6): 75-79. doi:10.3969/j.issn.1009-086x.2018.06.012

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A method of multi-sensor track association based on set pair analysis (SPA) and Dempster Shafer (DS) evidence theory is presented. In consideration of systematic error, the track information between different sensors is handled in the form of set pair based on the SPA closeness, and the expression of connection degree between tracks is built. On the basis of the closeness degree of set pair, the matrix of closeness degree is constructed. The problem of track association is solved by DS evidence theory. The example shows that this method can solve the question of multi sensor track association preferably.

GST Hough Transform Signal Detection Algorithm Based on Time Frequency Aggregation Criterion

GENG Chang-qing, WANG Hong-chao, WANG Long, XIONG Zhi-wei

2018, 46(6): 80-86. doi:10.3969/j.issn.1009-086x.2018.06.013

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Aiming at the shortcomings of the traditional radar signal detection algorithm, such as inaccuracy, large computation and slow speed, a signal detection algorithm of GST Hough transform based on time frequency clustering criterion is proposed. The algorithm integrates the improved S transform and Hough transform based on the aggregation criterion of the standard deviation of the sliding window, and completes the signal detection combined with the threshold based on the Neyman Pearson criterion. The simulation results show that the algorithm has good detection results below 14 dB. Compared with other algorithms, it is concluded that the algorithm has good detection ability under low SNR condition, does not rely on prior information, and has strong applicability.

Typical Air to Air Operation Modes of Airborne Fire Control Radar

TANG Yu-wen, HE Ming-hao, HAN Jun, ZHANG Xiao-han

2018, 46(6): 87-93. doi:10.3969/j.issn.1009-086x.2018.06.014

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Aimed at the situation that the air to air operation modes of airborne fire control radar were complex and various, classified them into three types as searching, tracking, and compounding. Focused on the tactical uses, the signal characteristics and scanning patterns of 6 typical air to air operation modes such as Track While Scan, etc were studied. Through analyzing, summarizing, and comparing the typical characteristics of each mode, the feasibility of work mode identification was demonstrated, and the identification approach was put forward, which provided the support for the identification of typical air to air operation modes of the airborne fire control radar.

Multi-Sensor Optimal Deployment for Area Coverage

YU Zhou, SHAN Gan-lin, DUAN Xiu-sheng

2018, 46(6): 94-101. doi:10.3969/j.issn.1009-086x.2018.06.015

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To solve the problem of sensor optimal deployment in the constrained conditions, a multi-sensor optimal deployment method is proposed based on genetic algorithm particle swarm optimization (GA-PSO). The method firstly meshes the battlefield geography environment and establishes the constraint matrix of deployment according to the battlefield geography environment and tactical conditions. Then, the objective optimization function based on detection coverage is established. Finally, the GA-PSO is used to solve the optimal position of the sensor. The simulation verifies the effectiveness and rationality of the proposed method.

Off-Grid Signal DOA Estimation Based on Orthogonal Decomposition of Steering Vector

LIU Qi-wei, MA Yan-Heng, LI Gen, DONG Jian

2018, 46(6): 102-108. doi:10.3969/j.issn.1009-086x.2018.06.016

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When the off-grid signals appear, the grid mismatching will lead to the serious performance degradation in compressed sensing direction of arrival (DOA) estimation. To address this issue, an off-grid signal DOA estimation algorithm under compressed sensing framework is proposed based on the Khatri Rao transform of received data covariance matrix and the orthogonal decomposition of steering vector. A new steering vector model of off-grid signal is created according to the orthogonality between signal steering vector and its first derivative. The grid deviation is estimated based on the least square theory. To increase the accuracy of sparse reconstruction, the iterative least squares subspace estimation (ILLSE) is adopted to estimate noise covariance matrix in constructing the sparse reconstruction model. The simulation results show that the proposed algorithm has good performance on off-grid signal DOA estimation under different signal to noise ratios and grid spacings.

Analysis of GPS Receiver Tracking Loop Jamming Effect

ZHANG Kun, ZENG Fang-ling, OUYANG Xiao-feng, ZHAO Yuan, TANG Jin-ying

2018, 46(6): 109-114. doi:10.3969/j.issn.1009-086x.2018.06.017

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To achieve more accurate performance evaluation and functional verification of navigation interference, this essay used two important indicators of carrier phase error and code phase error to measure the interference effect on the receiver for the Costas carrier tracking loop and incoherent lead-delay-delayed-delay-locked-loop commonly used in the GPS tracking process. The above indicators were simulated under different interference scenarios. The simulation results showed that with the increase of the noise to noise ratio or under the same noise to noise ratio, as the interference bandwidth decreases, the carrier phase error and the code phase error deteriorated. That is, the interference effect was positively correlated with the interference power and negatively correlated with the interference bandwidth. The carrier loop tracking error under interference was usually several orders of magnitude smaller than the code tracking error. The simulation results verified the rationality of the assessment method.

Supportability Evaluation of Radar Equipment Based on SPA-AHM

CHENG Yang, HU Bing, DONG Wei

2018, 46(6): 115-121. doi:10.3969/j.issn.1009-086x.2018.06.018

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According to the uncertainty and multilevel issues in supportability evaluation index of radar equipment, and on the basis of carding and integrating the elements of supportability evaluation, an index system of supportability evaluation of radar equipment is established; set pair analysis is introduced; and the model and algorithm of supportability evaluation of radar equipment based on set pair analysis attribute hierarchical model (SPA-AHM) are designed. The validity and effectiveness of this method is proved through an example calculation.

Research on Mission Planning and Launch Flow of Solid Rocket Emergency Launch

ZHANG Dao-chang, FAN Zhong-ze

2018, 46(6): 122-128. doi:10.3969/j.issn.1009-086x.2018.06.019

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Satellite can be put into orbit within 24 hours using solid rocket on storage watch.Some issues are studied for typical emergencies such as disaster monitoring, hotspot conflict monitoring, regional information enhancement, as well as space system reconstruction.The mode of emergency launch mission for solid rocket based on storage is discussed.The srorage management mechanism based on comprehensive cost assessment is established.The contents and methods of emergency launch mission planning are studied.The emergency launch technological process based on storage state is given.An automatic rapid assessment system is designed. A reference for the rapid response to the emergency launch of solid rocket is provided.

Development of Telemetry Technology for Small Aircraft

ZHANG Gao-ju, SHENG De-wei, LI Shao-jun

2018, 46(6): 129-134. doi:10.3969/j.issn.1009-086x.2018.06.020

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Telemetry system is an important component for small aircraft and an important measurement method for system development. The paper reviews the development and status of the telemetry technology in China. Taking the change in demand of telemetry system about small aircraft development process as an example, the key technology and developing direction of the current domestic telemetry system are summarized.

Portable Universal Testing Device for Comprehensive Performance of Launch and Control System

HAN Xiao-wen, ZHAO Ming, SUN Jin, JI Xiang

2018, 46(6): 135-142. doi:10.3969/j.issn.1009-086x.2018.06.021

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In order to satisfy the needs of testing performance of launch and control system, a portable universal testing device with small volume, light weight, low cost and high reliability is developed. Describes the design of the overall plan, system hardware and system software of the portable universal testing device in details. The tests show that the portable universal testing device realizes the comprehensive performance index of multi type launch and control system, greatly improves the test efficiency, and reduces the cost of human resources.

Design and Simulation of Multi-UAVs Coordinated Formation Control Software Platform

LI Chun, SONG Xiao-cheng, LI Fang-fang

2018, 46(6): 143-150. doi:10.3969/j.issn.1009-086x.2018.06.022

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In the modern warfare with increasingly complex operational tasks and changing battlefield environment, it has become a trend for multi unmanned aerial vehicles(UAVs) to cooperate to complete complex operational tasks. The key technology of multi-UAVs system involves multi-UAVs formation flight control and reconfiguration. We researched the problem of multi-UAVs formation control, reconfiguration, as well as path planning using particle swarm optimization (PSO) and ant colony optimization (ACO) algorithm. For the formation reconfiguration, we considered the reconfiguration in a dynamical environment and gave a method based on a diversity PSO algorithm. We also developed a multi-UAVs coordinated formation flight control platform. The simulation results showed that the intelligent algorithms such as PSO and ACO can solve formation control, formation reconfiguration and flight path planning problem well, and the diversity PSO algorithm has stronger global optimization ability.

Lateral Thrust/Aerodynamics Dual Control Method Using Large Attitude Control Moment

MAO Bo-yuan, LI Jun-long, ZHANG Rui

2018, 46(6): 151-158. doi:10.3969/j.issn.1009-086x.2018.06.023

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To make missiles have the ability to generate large overloads quickly when intercepting the high speed maneuvering targets, presents a dual control method of lateral thrust and aerodynamic force. This method can rapidly establish the angle of attack of missiles through a large attitude control moment. The influence of lateral thrust on overload response capability of missile is calculated using theoretical methods. The overload response capability of aerodynamic control and dual control is compared and analyzed. Simulation results show that it′s difficult to improve the response speed of the system by aerodynamic control. The overload response speed of the system can be improved significantly using the dual control of large attitude control moment, so as to achieve the optimal control effect.

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