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Bogeyman 

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Cognitive Electronic Countermeasure Based on Deep Learning

Abstract:
Based on the problems of the complex electromagnetic environment and the difficulty of successful penetration for missiles on modern battlefields, a design method of missile intelligent electronic countermeasure system based on deep learning technology is proposed. By quantifying the signal types, threat levels, interference strategies, and effect factors of complex electromagnetic signals on the battlefield, massive data samples are generated; building a deep learning neural network model, and using the generated data samples to complete model training, so that the model has real-time perception known and unknown battlefield RF signal threats and the ability to generate optimized jamming strategies; an attack and defense countermeasure simulation method based on this model is proposed for the simulation verification of cognitive electronic countermeasure technology.

Flutter Boundary Calculation of High Speed Air Rudder System Based on CFD/CSD Coupling

Abstract:
The aerodynamic conditions of high-speed aircraft rudder are becoming more and more severe.With the development of CFD and CSD, the flutter boundary calculation of air rudder with high precision has been widely concerned in academic circles. CFD is used to calculate unsteady aerodynamic forces, CSD is used to analyze the structural dynamics of real rudder system, radial basis function(RBF) interpolation is applied to realize data interaction between two kinds of grids, thus an aeroelastic simulation platform of CFD/CSD coupling calculation is established. Taking a rudder in the literature as an example, the time domain response results under different flow conditions are calculated, and the critical dynamic flutter pressure of the rudder is obtained. The comparison of the wind tunnel test results show that the simulation results are in good agreement with the experimental results. The aeroelastic simulation platform has a good calculation accuracy,which can provide some engineering guidance for the design of air rudder.

Research on Foreign Development of New LEO Satellite Constellation and Potential Military Applications

Abstract:
With the rapid development of satellite technology in recent decades, the new low earth orbit(LEO) satellite constellation represented by Starlink have set off a research upsurge in various countries. In view of the foreign development of new LEO satellite constellation, the two stages of LEO satellite constellation are summarized, the advantages and characteristics of them are summarized, the application potential of new LEO satellite constellation to our tactical missile from communication, observation, attack, early warning and defense against enemy long-range strike weapons is analyzed, and the military scene of missile weapon attack and interception of new LEO satellite constellation are described. According to the current status of LEO satellite deployment in China, reasonable suggestions are put forward from three aspects: target market,technical research, and on-orbit service, which can provide reference for the deployment of LEO satellite constellation in the future.

Development of LEO Constellation and LEO Satellite Navigation Algorithm
Abstract:
LEO constellation has developed rapidly since the establishment of Iridium satellite system in1998, and the rapid development of LEO constellation navigation algorithm provides another approach for missiles and other aircrafts. The constellation information, system functions and performance of LEO constellation including Iridium satellite, Globalstar, Orbcomm, OneWeb, Starlink, Hongyan and Hongyun are introduced in detail. The key technologies of launch, configuration and inter-satellite link are summarized, and the development trend and advantages of these technologies are analyzed. Then development of LEO constellation navigation algorithm is detailed, and the effect of LEO constellation on improving the navigation accuracy of doppler frequency positioning and precise point positioning is analyzed. Finally, the trend of LEO constellation and LEO navigation algorithm is summarized, which has reference for the following research of LEO constellation satellite constellation and navigation algorithm.


Research on Support Jamming Measures for Covering Ballistic Missile Penetration

Abstract:
Missile-borne self-defense interference is a common penetration measure for ballistic missiles. Relying on independent electronic countermeasure troops to provide support jamming can further improve the missile penetration rate. Based on a brief analysis of the typical composition of the missile defense system and the operation process, the support jamming measures of the enemy early warning satellites, antimissile radars and command and control systems are studied. The countermeasures including ground-based laser jamming and satellite-borne laser jamming, smoke screen jamming, distributed false target jamming for satellites; distributed sidelobe hybrid jamming, proximity main lobe noise jamming, passive false target jamming for anti-missile radars; and satellite-to-ground communication link jamming, air-to-ground(sea)data link jamming for the command and control systems are proposed, which initially establishes a system of support jamming measures to cover missile penetration, and can provide reference for further research.

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Analysis on the Development of Russian Hypersonic Weapons

Abstract:
Russia disclosed three types of hypersonic strike weapons one after another, which are respectively named Kinzhal, Vanguard and Tsirkon. Based on a comprehensive review of their basic information, the new Russian hypersonic weapon systems are analyzed, including a summary of each system’s technical characteristics, announced and/or likely deployment date, and reported military objectives. The future development trends of Russian hypersonic weapons are analyzed from two aspects of development motivation and development ideas.The results show that Russia is making efforts to build the trinity of land, sea and air hypersonic strike system, at the same time, it is also constantly promoting the modernization and upgrading of the launch platform.


A Target Selection Method for the MMW Seeker Based on Relational Matching and Beam Pointing Position

Abstract:
Aiming at the difficulty in target selection of millimeter wave(MMW) seeker under complex scenes,a target selection method of millimeter wave seeker based on scanning, relational matching and beam pointing position is presented. In the beginning, the millimeter wave seeker implements two rounds of scene scanning, and records the useful information of range and angles associated with the target. And based on the one-dimensional range image, the point and the body of the detected target are conducted twice, and the target with larger amplitude is selected, then, the selected target is processed with match correlation; Finally,combining with the beam pointing of the fire control system, the distribution of targets with successful relational matching is calculated, and the target selection of millimeter wave seeker is realized according to the nearest neighbor criterion.The experimental results show that the proposed method can effectively remove the false alarm of the millimeter wave seeker, realize the accurate detection of the target, and provide a solid foundation for the precise strike and efficient damage of the millimeter wave guided missile.

Research on Deep Learning Target Detection and Recognition Method Based on Radar Echo Signal

Abstract:
In the field of radar target detection and recognition, jamming technology is constantly upgraded. In order to solve the problem that traditional method of migration inadequate adaptive in facing sea surface target detection task under complex scene environment, a target detection and recognition method of radar echo signal based on deep learning is proposed. By dissecting the data characteristics of radar seeker data, the difference between radar echo and visible light data is compared, and the radar echo date of sea surface ships and jamming targets are analyzed experimentally. The target detection and recognition deep neural network model, which is originally suitable for visible light data domain, is transferred to the radar echo data domain. Lightweight model experiment is carried out to facilitate the embedded development work.Finally, the model training and algorithm validation are carried out on relevant radar echo data set, and excellent results are obtained, which verifies the feasibility and availability of the deep neural network model in radar data field.

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Bogeyman 

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