Journals >Electronics Optics & Control
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2021
Volume: 28 Issue 10
24 Article(s)
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A Robust Tracking Algorithm of Fighter in Complex Situation
ZHONG Xin, LI Dongxing, CHANG Junjie, WANG Qiannan, and DU Wenhan
In order to adapt to complex environments and changes of the fighters own stateand improve the performance of the target tracking algorithmthe original Tracking-Learning-Detection (TLD) algorithm is improved.Firstlythe improved Scale-Invariant Feature Transform (SIFT) feature matching algorithm is combined with theIn order to adapt to complex environments and changes of the fighters own stateand improve the performance of the target tracking algorithmthe original Tracking-Learning-Detection (TLD) algorithm is improved.Firstlythe improved Scale-Invariant Feature Transform (SIFT) feature matching algorithm is combined with the optical flow method in the original TLD algorithmand one of the two algorithms is selected adaptively according to different states of the fighter and the surrounding environmentso as to improve the robustness of the algorithm and its adaptability to complex environments.Secondlyparticle filter is introduced for optimization to predict the state of the fighter in real time and narrow the detection rangewhich can reduce the complexity of calculation and improve tracking speed and continuity.Finallyconfidence detection is set up to avoid misjudgment and improve tracking accuracy.The experimental results show that the improved algorithm has better tracking performance than the reference algorithm and can accomplish the task of long-time robust tracking when the fighter is in a complex scene or when its state is changing greatly..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 1 (2021)
A Collaborative Information Screening Method for UAV Swarm Based on Deep Reinforcement Learning
LI Xintong, XIONG Zhi, CHEN Mingxing, XIONG Jun, and LI Wenlong
To deal with the problem of excessive amount of computation in the collaborative positioning and navigation of UAV swarm in complex unknown environment this paper proposes two DRL methods for collaborative information screening of UAV swarm.The multi-UAV localization problem is mapped to a Partially-Observable Markov To deal with the problem of excessive amount of computation in the collaborative positioning and navigation of UAV swarm in complex unknown environment this paper proposes two DRL methods for collaborative information screening of UAV swarm.The multi-UAV localization problem is mapped to a Partially-Observable Markov Decision Process (POMDP) and the requirements on positioning accuracy of all the UAVs are satisfied by use of the least collaborative information based on the accuracy threshold set by Cramer-Rao Lower Bound (CRLB).The simulation results show that compared with the non-screening situation the information screening strategy based on DRL can effectively enhance the real-time performance and operation efficiency of the collaborative positioning algorithm as well as reducing collaborative information redundancy while maintaining the positioning accuracy..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 6 (2021)
On UAV Attitude Estimation Algorithm Combination with Adaptive Smooth Switching
SANG Biao, GUO Jiandong, and LIU Chunsheng
When GPS signals are lostthe accuracy of the integrated navigation algorithm will decrease.To solve the probleman efficient adaptive smooth switching fusion algorithm is proposed.When the GPS signal is under normal conditionsa high-order integrated navigation algorithm based on GPS measurement is used to estimate UAWhen GPS signals are lostthe accuracy of the integrated navigation algorithm will decrease.To solve the probleman efficient adaptive smooth switching fusion algorithm is proposed.When the GPS signal is under normal conditionsa high-order integrated navigation algorithm based on GPS measurement is used to estimate UAV attitude.When the GPS signal is lostthe high-order filtering algorithm is terminated and switched to a low-order attitude estimation algorithm based on quaternion.When the GPS signal is restoredthe estimated value of the low-order attitude estimation algorithm is taken as the initial value of the high-order filtering algorithmso as to realize smooth switching between the two attitude estimation algorithms.Simulation results and flight tests show that the switching strategy has good estimation accuracy and feasibilityattitude angle jumping is less than 0.5° during the switching process and the convergence time is less than 0.1 s which effectively improve the accuracy of UAV attitude estimation with or without GPS signals..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 11 (2021)
An Operational Effectiveness Evaluation Model Based on Multi-kernel RVM for Ground-Attacking UAVs
LI Yongxin, CHEN Shuangyan, GAN Xusheng, and LI Shuangfeng
In order to fully utilize the operational potential of ground-attacking UAVsa UAV operational effectiveness evaluation model is proposed based on Firefly Optimization Algorithm (FOA) and Relevance Vector Machine (RVM).Firstaccording to the characteristics of UAVs and the requirements of the battlefieldan index systeIn order to fully utilize the operational potential of ground-attacking UAVsa UAV operational effectiveness evaluation model is proposed based on Firefly Optimization Algorithm (FOA) and Relevance Vector Machine (RVM).Firstaccording to the characteristics of UAVs and the requirements of the battlefieldan index system for operational effectiveness evaluation of ground-attacking UAVs is established from the perspective of mathematical statistics.Thenin order to overcome the shortcomings of a single kernel functiona polynomial kernel function and a Gaussian kernel function are used to construct a hybrid kernel function for RVM.Finallybased on the built evaluation index systemrelevant parameters of the multi-kernel RVM are optimized by using FOA algorithmand an operational effectiveness evaluation model of ground-attacking UAVs is established.Simulation analysis shows thatthe proposed model is superior to the RVM model with a single Gaussian kernel or a single polynomial kernel in various evaluation indices with high evaluation accuracythus the effectiveness and feasibility of it is proved..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 16 (2021)
Research on Angular Measurement Accuracy of Laser Seeker
SU Tianqiao, ZHANG Hexin, LIU Zhiguo, and XU Weibo
Accurate azimuth measurement by laser detectors is a necessary condition for the seeker to guide towards the targetbut there is few theoretical research on the measurement accuracyso this paper studies the angular measurement accuracy of laser seeker.Firstlyan atmospheric transmission model of the guidance laser is Accurate azimuth measurement by laser detectors is a necessary condition for the seeker to guide towards the targetbut there is few theoretical research on the measurement accuracyso this paper studies the angular measurement accuracy of laser seeker.Firstlyan atmospheric transmission model of the guidance laser is establishedand it is verified that the light spot of the guidance signal received by laser detectors is uniform.Thenbased on the basic principles of azimuth detection by laser detectorsthe relationship between azimuth detection accuracy and three factorsi.e.the radius of the light spotthe position of the spots center and Signal-to-Noise Ratio (SNR)is deduced.Finallythe influence of different factors on azimuth detection accuracy is analyzed through simulation.The results show that angular measurement accuracy of the seeker can be improved by the following four methodsi.e.reducing the radius of the light spotshortening the distance between the centroid of the light spot and the center of the photosensitive surfaceincreasing the focal length of the detectors optical systemand increasing the SNR..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 21 (2021)
An Interrupted-Sampling Repeater Jamming Suppression Algorithm Based on Fractional Correlation
ZHANG Liang, CHENG Zhengyu, LI Dedong, LU Bingshan, and WANG Yang
Interrupted-sampling repeater jamming is a typical radar active jamming mode.In order to counter the self-defense interrupted-sampling repeater jammingthe generation mechanism of false targets is analyzed.Based on thisand inspired by time domain correlation and frequency domain correlationan interrupted-sampling repInterrupted-sampling repeater jamming is a typical radar active jamming mode.In order to counter the self-defense interrupted-sampling repeater jammingthe generation mechanism of false targets is analyzed.Based on thisand inspired by time domain correlation and frequency domain correlationan interrupted-sampling repeater jamming suppression algorithm based on fractional order correlation is designed and proposed.The algorithm takes the interfered echo in a coherent processing interval as the processing objectand changes the fast time position distribution of false targets by performing different fractional correlation processing on echoes with different repetition periodsand achieves the purpose of jamming suppression through coherent integration.Simulation results show that the proposed algorithm has certain suppression efficiency for interrupted-sampling repeater jamming.After suppressionthe critical Jamming-to-Signal Ratio (JSR) for effective detection of real targets is increased by about 25 dBand the suppression rate of false targets is more than 50%..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 26 (2021)
Binocular Visual Obstacle Avoidance of UAV Based on Deep Learning
CHENG Yi, and ZHENG Tenglong
Aiming at the key technologies of visual collision avoidance in UAV obstacle avoidance system the YOLOv4-tiny target detection algorithm is improvedand a visual collision avoidance method based on target detection is proposed.With the separable convolution structure of MobileNetthe YOLOv4-tiny target detection netwoAiming at the key technologies of visual collision avoidance in UAV obstacle avoidance system the YOLOv4-tiny target detection algorithm is improvedand a visual collision avoidance method based on target detection is proposed.With the separable convolution structure of MobileNetthe YOLOv4-tiny target detection network is optimized to improve the detection accuracy.The efficiency of the SURF matching algorithm is improved by removing the redundant information of the undetected target area.The target area is calculated in three dimensions by least squares methodand the calculated depth and pose information of UAV are treated as the basis of visual field scale of the collision avoidance determination areathe visual collision avoidance of UAV is realized through the integration of the pixel position of target detection.Finally the improved network model is analyzed by using standard data setthe mAP value is 69%and the UAV visual communication module is built for visual collision avoidance testwhich verifies the rationality of the method..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 31 (2021)
A Military Target Recognition Algorithm Based on Unsupervised Network
LI Xin, WANG Shengquan, and LI Ang
Military target recognition is a major research direction in the field of target detectionwhich is of great significance for early detection of enemy situation and accurate strike of the target.At presentthe mainstream military target recognition algorithms mainly use such unsupervised deep learning network models asMilitary target recognition is a major research direction in the field of target detectionwhich is of great significance for early detection of enemy situation and accurate strike of the target.At presentthe mainstream military target recognition algorithms mainly use such unsupervised deep learning network models as YOLO and Fast RCNN.In these methodsthe manually-labeled datasets are inputted to the network and then processed to obtain the output.Howeverthe datasets have limited quantityunsatisfying accuracy and generalization ability.To solve these problemsthis paper proposes a military target recognition algorithm based on the unsupervised networkwhich effectively solves the problems of insufficient datasets and unsatisfying accuracy through Generative Adversarial Network (GAN)..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 36 (2021)
An Improved Safety Surface Generation Algorithm
MA Shaoxian, QU Zhongjun, and QI Mingdong
Traditional safety surface generation algorithms have such problems as uncontrollable operation scalelong running timeand complex surfaceswhich can not meet the requirements of rapidity and reliability of airborne systems.In response to the above problemsthe safety surface generation algorithm is optimized by comprTraditional safety surface generation algorithms have such problems as uncontrollable operation scalelong running timeand complex surfaceswhich can not meet the requirements of rapidity and reliability of airborne systems.In response to the above problemsthe safety surface generation algorithm is optimized by compressing the Digital Elevation Map(DEM)improving the terrain slope constraintand analyzing the longitudinal curvature constraint.Thentrajectory planning on the surface is conducted.Simulation results show that the improved safety surface generation algorithm reduces unnecessary calculations with efficiency increased by about 3~6 times in comparison with traditional algorithmsand the trajectory planned on the surface meets the requirements of helicopters in low-altitude penetration scenarios..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 40 (2021)
An Anti-occlusion and Scale-Adaptive Long-Time Target Tracking Algorithm
HUANG Wei, YUAN Liang, ZHANG Jianjie, and LYU Kai
When the targets scale changes or when the target is occludedthe Kernel Correlation Filtering (KCF) tracking algorithm cannot ensure long-time tracking. To solve the problema scale-adaptive and anti-occlusion long-time tracking algorithm is proposed.FirstlyHOG features and color (CN) features are fused and a scale When the targets scale changes or when the target is occludedthe Kernel Correlation Filtering (KCF) tracking algorithm cannot ensure long-time tracking. To solve the problema scale-adaptive and anti-occlusion long-time tracking algorithm is proposed.FirstlyHOG features and color (CN) features are fused and a scale filter is added to estimate the scale of the target.Secondlythe Average Peak Correlation Energy (APCE) index is introduced to determine whether the target is occluded. When the target is occluded SVM classifier is used to recheck the position of the target after occlusion.Finallyaccording to APCE and maximum correlation response value of the position filterthe corresponding model updating strategy is selected.Two data setsOTB100 and UAV123are selected for experiment. The experimental results show that the improved algorithm can effectively deal with target scale change and target occlusionand realize long-time and stable tracking..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 44 (2021)
A Hierarchical Testability Modeling Method Based on Bayesian Network
HAN Lu, SHI Xianjun, and ZHAI Yuyao
At presentthe testability models considering uncertain factors have the problems of high modeling complexitycomplicated structuredifficult hierarchical modelingweak learning abilityand poor expression of uncertain information.Oriented to electronic equipmenta hierarchical testability modeling method based on BayeAt presentthe testability models considering uncertain factors have the problems of high modeling complexitycomplicated structuredifficult hierarchical modelingweak learning abilityand poor expression of uncertain information.Oriented to electronic equipmenta hierarchical testability modeling method based on Bayesian network is proposed.The original Bayesian network model and the multi-signal flow graph model are taken as research objectswhose parametersstructural characteristicsadvantages and shortcomings are analyzed.According to their complementary relationship and testability modeling requirementsthe Bayesian network model is improved.The model replaces the fault and test relationship with the fault and signal relationshipand characterizes fault transmission by the connection between signal nodes.The models structure is determined by using the hierarchical structure of circuitsand the models parameters are established by using Bayesian networkwhose inference ability is used to calculate testability indexes.Amplification filter circuits are taken as an exampleand a model is built and used to calculate the testability indexesand evidence processing tests are conducted.Compared with the multi-signal modelsthe model can accurately calculate testability indexes with strong evidence processing abilitywhich verifies the effectiveness and practicality of the modeling method..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 49 (2021)
A Review on GPS Baseband Signal Processing Methods
XU Dongming, CUI Shu, and LUO Xiaohong
Global Positioning System (GPS) is widely used in navigationmeasurementemergency communication and other fields.In recent yearsthe scholars are making increasingly intensive researches on acquisition and tracking process of GPS baseband signals.Thereforedifferent acquisition and tracking algorithms are systematicalGlobal Positioning System (GPS) is widely used in navigationmeasurementemergency communication and other fields.In recent yearsthe scholars are making increasingly intensive researches on acquisition and tracking process of GPS baseband signals.Thereforedifferent acquisition and tracking algorithms are systematically summarized for comparison.According to the processing mode after the mixing of digital Intermediate Frequency (IF) signals with local signalsthe acquisition algorithms can be mainly classified as coherent acquisitionincoherent acquisition and differential coherent acquisitionand a comparison is conducted.According to the function of tracking loopsthe tracking algorithms can be classified as carrier tracking and code loop trackingand a comparison is conducted.The improvements on those acquisition and tracking algorithms in recent years are summarizedand the advantages and disadvantages of the improved algorithms are analyzed.Finallythe prospect of baseband signal acquisition and tracking algorithms is given..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 55 (2021)
Development of Airborne Electro-Optical Targeting Systems Abroad
HUANG Zhonghua, FENG Yanhui, and LIU Yu
The status and technological features of advanced airborne Electro-Optical Targeting Systems (EOTS) abroadsuch as Star SAFIRE 380X targeting systemEOTS targeting system and LITENING targeting systemare introduced.On which basisthe technologies related to advanced EOTS are analyzed and their development trend is givThe status and technological features of advanced airborne Electro-Optical Targeting Systems (EOTS) abroadsuch as Star SAFIRE 380X targeting systemEOTS targeting system and LITENING targeting systemare introduced.On which basisthe technologies related to advanced EOTS are analyzed and their development trend is given..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 61 (2021)
Attitude and Vertical Velocity Control of Unmanned Helicopter Based on State-Dependent Riccati Equation
TANG Peng, DAI Yuehong, and LI Zhaoyang
Firstlya pseudo-linear state-dependent model for the attitude and vertical channels of an unmanned helicopter is establishedwhich keeps the coupling state term.Thenthe optimal solution of the nominal model is found by online solving State-Dependent Riccati Equation (SDRE)and an integral-extended state-dependent conFirstlya pseudo-linear state-dependent model for the attitude and vertical channels of an unmanned helicopter is establishedwhich keeps the coupling state term.Thenthe optimal solution of the nominal model is found by online solving State-Dependent Riccati Equation (SDRE)and an integral-extended state-dependent controller is designed.As for the external disturbancesa finite-time disturbance observer is designed to online observe and then compensate for the disturbances in the coupling vertical and yaw channels.Simulations are implemented on the numerical platform of Yamaha-Rmax unmanned helicopterand a comparison with the classical robust H∞ controller is conducted.The simulation results show that the proposed method has the advantages of less dependence on parameters and faster responsewhich can rapidly stabilize inner-loop attitude and vertical velocity of the helicopter..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 67 (2021)
Aperture Sharing for Radar-Communication Integration Based on Simulated Annealing Algorithm
LI Zhiyong, LOU Hao, HAN Wenting, and ZHOU Yuang
According to the antenna sharing requirements of mobile combat platformsa method for allocating the shared aperture of linear array oriented to radar-communication integration is proposed. Firstlya model of the shared aperture is establishedand a non-uniform linear shared array is designed according to the differencAccording to the antenna sharing requirements of mobile combat platformsa method for allocating the shared aperture of linear array oriented to radar-communication integration is proposed. Firstlya model of the shared aperture is establishedand a non-uniform linear shared array is designed according to the difference in operating frequencies between radar and communication.Secondlythe position allocation of array elements is transformed into a multi-objective optimization problemand the highest sidelobe level of radar array pattern and the channel capacity of communication array element are selected as optimization objectives.Finallythe improved simulated annealing algorithm is applied to optimization calculationand relevant simulation experiments are completed. The simulation results show that the highest peak sidelobe level of radar and the capacity of communication channel can both meet the working requirementsand antenna aperture sharing is realized..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 72 (2021)
A Novel Laser Ranging Technology Based on Gas Absorption Spectroscopy and Its Simulation Results
HE Lichen, XU Yang, ZHANG Guangxing, CHEN Meijia, WU Qi, and YANG Bingxiong
A new laser ranging technology based on gas absorption spectroscopy is proposed.The frequencies of reference optical signals and measurement optical signals carrying gas absorption spectroscopy information are mixedand Fourier transform is used to extract optical path differenceso as to obtain the distance informatioA new laser ranging technology based on gas absorption spectroscopy is proposed.The frequencies of reference optical signals and measurement optical signals carrying gas absorption spectroscopy information are mixedand Fourier transform is used to extract optical path differenceso as to obtain the distance information.According to the deduced ranging principlesa ranging system based on laser methane remote sensor is designedand its ranging process is simulated and analyzed by Matlab software.The simulation results have verified the feasibility of the gas laser ranging technologywhich supplies a promising direction for developing gas laser radar..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 76 (2021)
Effectiveness Evaluation of MAV/UAV Cooperative Operations Based on Hopfield Neural Network
WANG Tan, YANG Sen, QI Xiaohui, JIA Hongxia, and DONG Hairui
MAV/UAV cooperative operations are becoming a research hot spot in various countries.In response to current demand for effectiveness evaluation of cooperative operationsthis paper discusses a method for evaluating the effectiveness of MAV/UAV cooperative operations based on Hopfield network.By analyzing the typical moMAV/UAV cooperative operations are becoming a research hot spot in various countries.In response to current demand for effectiveness evaluation of cooperative operationsthis paper discusses a method for evaluating the effectiveness of MAV/UAV cooperative operations based on Hopfield network.By analyzing the typical models of MAV/UAV cooperative operationsand integrating the content of “Observation-Orientation-Decision-Action (OODA)” mission loopthe index system for effectiveness evaluation of MAV/UAV cooperative operations is established.The evaluation data obtained by Extensional Analytical Hierarchy Process (EAHP) and the fuzzy evaluation method is taken as the reference standard of Discrete Hopfield Neural Network (DHNN).Based on the associative memory function of DHNNan effectiveness evaluation model for MAV/UAV cooperative operations is designed.Example analysis and simulation verification are conducted.The simulation results show that this method can realize an objective and effective evaluation of the effectiveness of MAV/UAV cooperative operations..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 80 (2021)
Monitoring and Fault-Tolerant Technologies of Time Triggered Network
LIU Zhiwu, SUN Jingguo, and CHEN Changsheng
Time Triggered (TT) network can ensure the reliability and real-time performance of data transmission in safety-critical systems.The basic principles of monitoring and fault-tolerant mechanisms of TT network are analyzed.The monitoring mechanisms based on time windowsemantics and data flow are designed respectivelyanTime Triggered (TT) network can ensure the reliability and real-time performance of data transmission in safety-critical systems.The basic principles of monitoring and fault-tolerant mechanisms of TT network are analyzed.The monitoring mechanisms based on time windowsemantics and data flow are designed respectivelyand the synchronous fault-tolerant mechanism based on redundant resources and the high-integrity fault-tolerant mechanism based on COM/MON architecture are designed.A verification environment for these monitoring and fault-tolerant mechanisms is builtand relevant verification tests are conducted.The results show that the analysis and design of monitoring and fault-tolerant mechanisms can enhance the safety level of TT network..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 85 (2021)
Infrared and Visible Image Fusion Based on Random Walk Algorithm
MA Jinlei, XU Yongqiang, LI Lei, YU Aiguo, and MENG Hao
Infrared and visible image fusion can effectively compensate for the weakness of a single sensorand produce a fused image with better visual effect and higher definition.When designing the rules of fusing detail layers and base layers of two imagesthe fusion methods based on multi-scale decomposition often only consiInfrared and visible image fusion can effectively compensate for the weakness of a single sensorand produce a fused image with better visual effect and higher definition.When designing the rules of fusing detail layers and base layers of two imagesthe fusion methods based on multi-scale decomposition often only consider single-scale information in detail layers and base layerswhich may lead to a lack of effective features in the fused image.To solve this problemthis paper proposes a novel fusion rule based on the random walk algorithm to fuse base layers and detail layers.This fusion rule estimates two saliency maps and obtains one of them with multi-scale information for the fusion of base layers and detail layerswhich can effectively fuse the multi-scale information in each layer into the output image.Thereforethe fused image is more beneficial for human-eye perception..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 90 (2021)
An Information Fusion Technology for Guidance Integrated Fuze
LI Ning, WEI Daozhi, ZHANG Zhaoyu, and MA Jiashun
In order to improve the initiation control accuracy of guided missiles and obtain a more accurate initiation delay timean integrated information fusion method based on measurement data of infrared seeker and laser rangefinder is proposed.In multi-mode information processingdue to different starting-up time and sampliIn order to improve the initiation control accuracy of guided missiles and obtain a more accurate initiation delay timean integrated information fusion method based on measurement data of infrared seeker and laser rangefinder is proposed.In multi-mode information processingdue to different starting-up time and sampling frequencies of the two sensorsand the time difference between observation datathe measurement data of the two sensors is not on the same time base.Thereforea time alignment method based on interpolation and extrapolation is presented in a typical projectile/target encountering environmentand the measurement data of the sensors is applied to the calculation of a delay time model.On the basis of the modela centralized data filtering algorithm based on the improved particle filter is proposed.A comparison with the traditional extended Kalman filter algorithm is conducted.The simulation results show that the accuracy of the detection angle is improved by 80.45% and the measurement accuracy of the optimal firing angle is improved by 78.61%thus the initiation control accuracy of the integrated fuze is improved..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 94 (2021)
Dynamic Scheduling Mechanism of 10M 1553B Bus for RT Cluster
LI Xin, and SHI Lin
The technology of RT cluster management is describeda function of Bus Controller (BC) oriented to the addressing of 128 terminals is realizedand the innovation of the technology is introduced.Based on the RT cluster management technologya time-triggered dynamic network scheduling mechanism is proposed which ensuresThe technology of RT cluster management is describeda function of Bus Controller (BC) oriented to the addressing of 128 terminals is realizedand the innovation of the technology is introduced.Based on the RT cluster management technologya time-triggered dynamic network scheduling mechanism is proposed which ensures the certainty of communication delay and time offsetand realizes bus data transmission with high reliability and certainty.By setting up the system test environmenttwo key technologiesRT cluster management and dynamic network scheduling mechanismare tested and verified.The system operates stablyand its function and performance are consistent with theoretical analysis..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 99 (2021)
Radio Frequency Stealth and Electromagnetic Maneuver of Airborne Fire Control Radar
PEI Yun, and YANG Qingshan
Based on the concept of electromagnetic maneuver warfareand from the aspect of the maneuver confront between our airborne active phased array radar and the opposite sides electronic reconnaissance systemthis paper analyzes the meanings of radio frequency stealth and electromagnetic maneuver of airborne radarand disBased on the concept of electromagnetic maneuver warfareand from the aspect of the maneuver confront between our airborne active phased array radar and the opposite sides electronic reconnaissance systemthis paper analyzes the meanings of radio frequency stealth and electromagnetic maneuver of airborne radarand discusses the agility and entropy of electromagnetic maneuver used in radio frequency stealth of airborne radar.Based on thisin the electromagnetic environment of air combatthree kinds of electromagnetic maneuver strategies in radio frequency stealth of airborne radarnamelyminimum timeminimum power and maximum signal uncertaintyare summarizedand the corresponding operation modes of electromagnetic maneuver are presented.The range of study on electromagnetic maneuver warfare of airborne radar is expanded by applying it to the study of radio frequency stealth of airborne radarand the proposed strategies and operation modes have certain application value..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 104 (2021)
Three-Dimensional Object Detection Method Based on Radar Point Cloud and Image Data
LI Wenping, YUAN Qiang, CHEN Lu, ZHENG Libiao, and TANG Xiaolong
In the field of intelligent transportationthe real-time three-dimensional(3D) object detection in road scenes is of great significance to ensure the safety of vehicle driving.The use of radar point cloud and image data fusion is able to achieve the effect of complementary advantages.Howeverin order to achieve higher In the field of intelligent transportationthe real-time three-dimensional(3D) object detection in road scenes is of great significance to ensure the safety of vehicle driving.The use of radar point cloud and image data fusion is able to achieve the effect of complementary advantages.Howeverin order to achieve higher detection accuracythe 3D object detection algorithms using radar and image data fusion usually adopt the two-stage networkbut the computing speed is slower than that of the one-stage networkand the speed of detection system is very important in practical application.Aiming at the above problemsa real-time detection method of 3D object is designed based on the improvement of one-stage network RetinaNet.The 3D anchors are mapped to the feature maps of the point cloud and image respectivelyand ROI pooling is used to convert the regions cropped by the anchor on the feature map into the same size and fuse them.Finallythe regression parameters and categories of the target boundary box are outputand the target prediction boundary box is obtained by adjusting the anchor box.Experiments on KITTI dataset show that the proposed network is superior to the comparison algorithms in the accuracy and time consumption of pedestrian and vehicle detection..
Electronics Optics & Control
- Publication Date: Jan. 01, 1900
- Vol. 28, Issue 10, 110 (2021)
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