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Active Disturbance Rejection Control for Attitude of Unmanned Helicopter Based on Improved fal Function
HUA Sangtun, QIU Yafeng, and CHEN Cheng
This paper tries to improve the attitude control ability of the unmanned helicopter.The fal function is not smooth at the inflection pointwhich may cause system chatteringand the system gain is large when the error is large.To solve the problemsan improved fal function is proposed to rewrite the nonlinear error feedThis paper tries to improve the attitude control ability of the unmanned helicopter.The fal function is not smooth at the inflection pointwhich may cause system chatteringand the system gain is large when the error is large.To solve the problemsan improved fal function is proposed to rewrite the nonlinear error feedback lawand it is re-applied to Active Disturbance Rejection Control (ADRC) to obtain an improved ADRC.Based on the established dynamics model of an unmanned helicopterthe attitude angle tracking and anti-jamming simulations under white noise and step interference are conducted on Matlab/Simulink.The simulation results show that: 1) The improved fal function is smoother at the inflection point; and 2) The ADRC based on the improved fal function still has good response speed and low overshoot in the attitude angle tracking of the unmanned helicopterand its anti-jamming ability is better than that of the traditional ADRC..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 1 (2022)
Dual-Loop Conditional Integral Sliding Mode Control for a Quadrotor Aircraft
DING Li, RUAN Wenrui, CHAO Yuan, LI Jiaqi, and LIU Xiaofeng
In view of the wind gusts and unmodeling characteristics in trajectory tracking control of a quadrotor aircrafta new method is presented.This controller is called dual-loop conditional integral sliding mode controllerwhich is based on nonlinear sliding mode control techniqueconditional integral idea and Lyapunov staIn view of the wind gusts and unmodeling characteristics in trajectory tracking control of a quadrotor aircrafta new method is presented.This controller is called dual-loop conditional integral sliding mode controllerwhich is based on nonlinear sliding mode control techniqueconditional integral idea and Lyapunov stability theory.The nonlinear dynamic model of the quadrotor is linearized to simplify the mathematical model of the controlled object and improve the efficiency of controller design.The trajectory tracking controllers of position loop and attitude loop are designed by using the conditional integral sliding mode control lawand global asymptotic stability of the control system is realized.The effectiveness of the designed controller is verified by simulation cases.The simulation results show that the controller has higher control accuracystronger anti-interference ability and stronger robustness compared with other controllers.It can effectively suppress system chatteringeliminate static errors and realize high-performance trajectory tracking of a quadrotor aircraft..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 7 (2022)
Influence of High-Repetition-Frequency Laser Jamming on Semi-Active Guided Missile in Operational Application
SONG Zhenzhi, HAN Daowen, WANG Yu, ZHAO Luda, and WU Zhongwei
In order to find out the influence of various factors on the operational application of high-repetition-frequency laserthe principle of high-repetition-frequency laser jamming on semi-active guided missile is studiedand the influence of different factorssuch as atmospheric transmissi onrepeated frequency of jammingIn order to find out the influence of various factors on the operational application of high-repetition-frequency laserthe principle of high-repetition-frequency laser jamming on semi-active guided missile is studiedand the influence of different factorssuch as atmospheric transmissi onrepeated frequency of jamming laser and configuration distance on the operational application of high-repetition-frequency laser is discussed respectively. The corresponding mathematical models are establishedand the simulation and calculation are conducted. The following three conclusions can be drawn from the results. 1) The higher the atmospheric visibilitythe higher the minimum peak power required by the high-repetition-frequency laser jammer; 2) The higher the jamming repetition frequencythe higher the probability of jamming success rate; and 3) The jammers shall not be configured too close or too far awayand the configuration range of the jammers should be determined according to the performance of the semi-active guided missile and the probability of jamming lead..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 12 (2022)
Trajectory Tracking of a Quadrotor Based on Discrete-Time Sliding Mode Control
CHENG Limei
This paper focuses on large-angle trajectory tracking control of a quadrotor in discrete time domain.Firstlythe Newton-Euler method is used to establish a dynamic model based on 3D rotation group SO(3)which is then transformed into a discrete-time model by using the forward Euler method.Nexta control scheme based onThis paper focuses on large-angle trajectory tracking control of a quadrotor in discrete time domain.Firstlythe Newton-Euler method is used to establish a dynamic model based on 3D rotation group SO(3)which is then transformed into a discrete-time model by using the forward Euler method.Nexta control scheme based on the structure of inner and outer loops is proposed.Thendiscrete-time sliding mode control is applied to the design of inner and outer loop controllerswhose stability is proved by Lyapunov function.Finallythe performance of the designed control system is verified by Matlab simulation.The simulation results show that the designed control system has good large-angle trajectory tracking performance..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 16 (2022)
Adaptive Robust Control of Photoelectric Stabilized Platform Based on Disturbance Observer
YUAN Leichao, WANG Helong, and ZHANG Xinyong
Aiming at the modeling and unmodeling uncertainty of the photoelectric stabilized platforman Adaptive Robust Control (ARC) algorithm based on disturbance estimation is proposed.The algorithm combines ARC with the Disturbance Observer (DOB)and integrates the disturbance estimation results obtained by DOB into the desiAiming at the modeling and unmodeling uncertainty of the photoelectric stabilized platforman Adaptive Robust Control (ARC) algorithm based on disturbance estimation is proposed.The algorithm combines ARC with the Disturbance Observer (DOB)and integrates the disturbance estimation results obtained by DOB into the design of ARC algorithm.The adaptive control law of ARC is used for adaptive compensationso as to further improve the stabilized accuracy of the photoelectric stabilized platform.The simulation results show that:Compared with the traditional DOB feedforward compensationthe proposed algorithm has the advantages of smaller overshoot and shorter adjustment timewhich effectively improves the disturbance suppression ability of the photoelectric stabilized platform..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 21 (2022)
Initial Value Optimization of Two-Step Method Based on Artificial Fish Swarm Algorithm
ZHANG Yuxuan, WANG Hongli, HE Yiyang, FENG Lei... and ZHANG Pengfei|Show fewer author(s)
The initial value of the two-step method will seriously affect the accuracy of star sensors optical error calibration algorithm.To solve the probleman optimization method of the two-step method based on Artificial Fish Swarm Algorithm (AFSA) is proposed.This method takes advantage of the characteristics of AFSAwhichThe initial value of the two-step method will seriously affect the accuracy of star sensors optical error calibration algorithm.To solve the probleman optimization method of the two-step method based on Artificial Fish Swarm Algorithm (AFSA) is proposed.This method takes advantage of the characteristics of AFSAwhich can easily jump out of local optimum and then conduct global optimization.Before the implementation of the two-step methodthe output of a group of optimal initial values is used for the initialization of the two-step method,and finally the calibration values with higher accuracy are obtained.The simulation results show that the improved two-step method can improve the calibration accuracy and stability by using the advantages of AFSA as well as overcoming the disadvantages of the two-step method..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 26 (2022)
Multi-target Tracking Based on IAUKF-JPDA Algorithm
CHEN Yun, ZOU Jie, and WU Mengjie
To solve the problem of low tracking accuracy when fusing different sensorsan Improved Adaptive Unscented Kalman Filter (IAUKF) algorithm using weighted data fusion is proposed.In the processing of fusing different sensorsscene switching will cause decline in sensor accuracy.Through introducing the idea of Sage-Husa To solve the problem of low tracking accuracy when fusing different sensorsan Improved Adaptive Unscented Kalman Filter (IAUKF) algorithm using weighted data fusion is proposed.In the processing of fusing different sensorsscene switching will cause decline in sensor accuracy.Through introducing the idea of Sage-Husa adaptive filteringdifferent weights are set for data from different sensorsand the statistical characteristics of measurement noise are processed in real time.Joint Probabilistic Data Association (JPDA) is used to remove clutter and associate measurement with target trajectories.This algorithm is used to track multiple aerial targets in the modified spherical coordinate system.The simulation results show that the new algorithm effectively reduces state estimation errors and improves tracking accuracy in comparison with the corresponding method based on the standard UKF algorithm..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 32 (2022)
A DOA Estimation Algorithm Based on Off-Grid Sparse Bayesian Learning in Improved Nested Sparse Circular Array
SHI Xinlei, and ZHANG Zhenkai
The existing DOA estimation methods based on Nested Sparse Circular Arrays (NSCA) suffer from high computational complexity and the difficulty in fast selecting of super parameters.To solve the problemsan Off-Grid Sparse Bayesian Learning (OGSBL) method based on the improved NSCA is proposed.The covariance matrix of tThe existing DOA estimation methods based on Nested Sparse Circular Arrays (NSCA) suffer from high computational complexity and the difficulty in fast selecting of super parameters.To solve the problemsan Off-Grid Sparse Bayesian Learning (OGSBL) method based on the improved NSCA is proposed.The covariance matrix of the received signals of the improved NSCA is vectorizedand an extended observation matrix is constructed.Thenthe under-determined DOA estimation is realized by using the off-grid model and the Sparse Bayesian Learning (SBL) algorithm.The simulation results show that the proposed algorithm reduces computational complexitythe super parameters of the model can be adjusted adaptivelyand the performance of the proposed algorithm is better than that of the DOA estimation algorithms based on the original NSCA and the traditional uniform circular arrays under the conditions of low SNRsmall snapshots and multiple sources..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 37 (2022)
Air-to-Surface Multi-target Attacks Based on Common Release Zone
ZHANG Yanxia, LYU Hui, and SUN Zhaoyu
In order to support air-to-surface multi-target attacksthe model of air-to-surface multi-target common release zone is studiedand the definition of common release zone is given.A solution of multi-target common release zone based on polygon intersection is given.The longest attacking route of the common release zone In order to support air-to-surface multi-target attacksthe model of air-to-surface multi-target common release zone is studiedand the definition of common release zone is given.A solution of multi-target common release zone based on polygon intersection is given.The longest attacking route of the common release zone and the entry point are modeled.Furthermorethe method of batch division is proposed to support the whole process of attacking.The method is a deterministic algorithm with determined computational complexity and high precisionwhich is suitable for airborne real-time calculation environment.Finallythe model of air-to-surface multi-target attacks is simulated and implementedoutputting the common release zone and batch division results.The simulation results show that the model of multi-target attacking is correct and effectivewhich can realize batch division and attacking route planning in air-to-surface multi-target attacks..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 44 (2022)
Observer-Based Robust Control for Lipschitz Nonlinear Systems with Disturbances
SUN Yanxiu
The problem of robust control for a class of Lipschitz nonlinear systems with disturbances is studiedand the problem of observer-based robust control for nonlinear systems is discussed.Firstlya state observer is constructed for the nonlinear system satisfying Lipschitz condition.Secondlyin consideration of the distuThe problem of robust control for a class of Lipschitz nonlinear systems with disturbances is studiedand the problem of observer-based robust control for nonlinear systems is discussed.Firstlya state observer is constructed for the nonlinear system satisfying Lipschitz condition.Secondlyin consideration of the disturbance term in the systemthe sufficient conditions for the existence of the observer-based controller in two cases are given in the form of Linear Matrix Inequalities (LMI) according to Lyapunov theorythe calculation methods of observer gain matrix and controller gain matrix are obtained and the robust control of the nonlinear system is realized.Finallya numerical example is given to verify the effectiveness of the proposed method..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 48 (2022)
A Review on Reinforcement Learning Based Radar Jamming Decision-Making Technology
ZHU Bakun, ZHU Weigang, LI Wei, YANG Ying, and GAO Tianhao
The cognitive ability of equipment embodies the fundamental attributes of cognitive electronic warfareand it is also the key to effective jamming on complex and intelligent electronic equipment.As a hot technique in the field of artificial intelligencereinforcement learning has the ability of self-learning not relyinThe cognitive ability of equipment embodies the fundamental attributes of cognitive electronic warfareand it is also the key to effective jamming on complex and intelligent electronic equipment.As a hot technique in the field of artificial intelligencereinforcement learning has the ability of self-learning not relying on priori datawhich is an important approach to multifunctional radar jamming.Based on the review on traditional algorithms of radar jamming decision-makingas for reinforcement learning based radar jamming decision-makingthe principles and status quo of the technology are analyzedand its performance is verified through simulations.Finallya summary is givenand the outlook for the technology is predicted..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 52 (2022)
A Review on Visual Target Detection and Tracking Methods for Mobile Robot
LIU Wenhui, CHAO Yuan, TANG Hanbing, and XU Peng
Aiming at the visual target detecting and tracking performed by a mobile robotthe background and significance of the research are expoundedand the difficulties in the research are analyzed.Thenaccording to the types of feature representation and the detecting stepsa comparative analysis is made on the advantages anAiming at the visual target detecting and tracking performed by a mobile robotthe background and significance of the research are expoundedand the difficulties in the research are analyzed.Thenaccording to the types of feature representation and the detecting stepsa comparative analysis is made on the advantages and disadvantages of the following four types of target detection algorithmsi.e.traditional target detection algorithmscandidate region based target detection algorithmsregression-based target detection algorithms and reinforcement learning based target detection algorithms.Furthera comparative analysis is conducted on the performance of the following visual tracking algorithms in four stagesi.e.traditional tracking algorithmssparse representation based tracking algorithmscorrelation filter based tracking algorithms and deep learning based tracking algorithms.Finallythe limitations of current methods are summarizedand the directions for future improvement are pointed out..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 59 (2022)
Design of New CTLE Equalizer with Negative Capacitance Structure
LU Dechao, ZHENG Xuqiang, LYU Fangxu, WANG Heming... and LIU Tao|Show fewer author(s)
As the rate of data transmission continues to increasethe data loss caused by the channel becomes more and more serious.Using the traditional Continuous-Time Linear Equalizer (CTLE) to equalize and compensate for the signal can no longer offset the serious signal attenuation caused by the channel.In order to better coAs the rate of data transmission continues to increasethe data loss caused by the channel becomes more and more serious.Using the traditional Continuous-Time Linear Equalizer (CTLE) to equalize and compensate for the signal can no longer offset the serious signal attenuation caused by the channel.In order to better compensate for the attenuationthe traditional CTLE equalizer is further improvedand a new CTLE based on negative capacitance is proposed.On the basis of the traditional CTLEtwo cross-connected MOS transistors are used to form a negative capacitorwhich is superimposed on the output of the traditional first-level CTLE to form a second-level structure,which can increase high-frequency gain and achieve greater bandwidthso as to provide better compensation for channel attenuation.The simulation results show that at a data rate of 25 Gibit/sthe equalizer with a negative capacitance has good compensation capability.After equalizationthe horizontal opening of the eye diagram reaches 0.9 Unit Interval (UI).The new CTLE based on negative capacitance is helpful for improving the overall data transmission rate..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 68 (2022)
Application of High-Repetition-Rate Laser Decoy
SU Tianqiao, LIU Zhiguo, and MAN Fangfang
In this paperthe repetition rate selection of high-repetition-rate laser decoy is studied.Based on the jamming principle of high-repetition-rate laser decoythrough the theoretical analysis and numerical calculation of its jamming pulse energy and repetition ratethe repetition rate application scheme of high-repetitiIn this paperthe repetition rate selection of high-repetition-rate laser decoy is studied.Based on the jamming principle of high-repetition-rate laser decoythrough the theoretical analysis and numerical calculation of its jamming pulse energy and repetition ratethe repetition rate application scheme of high-repetition-rate decoy is obtained.The scheme is verified by jamming effect experiment.The research results show that:1) When the high-repetition-rate laser decoy implements decoy jammingthe repetition rate of the high-repetition-rate jamming pulse must be an integral multiple of that of the indicating laser pulse; and 2) At the stage of laser seeker trackingthe high-repetition-rate jamming pulse needs to have higher repetition rate to ensure that there are at least 3~4 jamming pulses entering the time gate; while at the stage of laser seeker searchingthe high-repetition-rate jamming pulse only needs a lower repetition rate to achieve the ideal decoy jamming effect..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 72 (2022)
Reduced-Order Observer Design for Discrete Markovian Jump Systems
ZHOU Zilong, and LI Xiaohang
A reduced-order observer is designed for a class of linear discrete-time Markovian Jump Systems (MJSs) with unknown input and measurement noise.It can decouple the unknown input and measurement noise simultaneously.The sufficient conditions for the existence of the observer are given in the form of Linear Matrix InequaA reduced-order observer is designed for a class of linear discrete-time Markovian Jump Systems (MJSs) with unknown input and measurement noise.It can decouple the unknown input and measurement noise simultaneously.The sufficient conditions for the existence of the observer are given in the form of Linear Matrix Inequality (LMI) to ensure the finite-time stochastic stability of the error system.Thenthe estimation of unknown input is realized by using the idea of algebraic reconstruction.Finallya numerical simulation verifies the effectiveness of the proposed method..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 77 (2022)
Stray Radiation Suppression Technology for Multi-spectral Refrigeration Infrared System
YU Haibin, WANG Xiaofeng, PAN Zhifeng, REN Weifeng, and CAI Meng
For the optical system using refrigeration mid-wave infrared detectora multi-spectral mid-wave infrared convergence system is designed.To solve the problem of external stray radiation introduced by color separation filtera thermal radiation suppression stop is designedand its shape and position are optimized throughFor the optical system using refrigeration mid-wave infrared detectora multi-spectral mid-wave infrared convergence system is designed.To solve the problem of external stray radiation introduced by color separation filtera thermal radiation suppression stop is designedand its shape and position are optimized through iterationso as to suppress the external stray radiation of the system.The TracePro simulation shows that this thermal radiation suppression stop can reduce the total stray radiation to 8.8%.It has obvious effects of improving the imaging quality..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 83 (2022)
ITAE-Based Design of Position Controller for Shipborne Rocket Launcher
WANG Panwei, HOU Yuanlong, and WU Liang
ITAE optimal control enables the integral of time multiplied by absolute error to be the minimum in a system.ITAE has the characteristics of third-order no static errorthat isno error for uniform acceleration input.No-static-error ITAE optimal control method is simple and easy to implement in engineering.Howeveras fITAE optimal control enables the integral of time multiplied by absolute error to be the minimum in a system.ITAE has the characteristics of third-order no static errorthat isno error for uniform acceleration input.No-static-error ITAE optimal control method is simple and easy to implement in engineering.Howeveras for shipborne rocket launcher systems with time-varying parametersthe effect of directly using ITAE control is not idealbecause the parameters of the controller no longer meet the ITAE optimal transfer function due to the change of system parameters.Thereforeit is necessary to identify the system so that the parameters of the controller can change with the systems parameters.There are many methods for system identificationbut they do not meet the real-time requirements of shipborne rocket launcher.Thereforean easy-to-implement identification method is proposed in consideration of the performance requirements of weapon systems.The proposed algorithm is applied to ITAE parameter tuningand the results show that the proposed algorithm can effectively tune the parameters of ITAE controller of the servo system..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 89 (2022)
Fault Estimation for Takagi-Sugeno Semi-Markovian Jump Systems
ZHU Yongning, and LI Xiaohang
A reduced-order observer is designed for a class of T-S Semi-Markovian Jump Systems (S-MJSs) with general uncertain transition rates.It can simultaneously estimate the system stateactuator fault and sensor faultand completely decouple external disturbances.In the form of Linear Matrix Inequalities (LMI)the sufficienA reduced-order observer is designed for a class of T-S Semi-Markovian Jump Systems (S-MJSs) with general uncertain transition rates.It can simultaneously estimate the system stateactuator fault and sensor faultand completely decouple external disturbances.In the form of Linear Matrix Inequalities (LMI)the sufficient conditions for the existence of the observer are givenand it is proved that the error system is stable in finite time.Finallyanumerical simulation verifies the effectiveness of the proposed method..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 95 (2022)
Anomaly Detection of ADS-B Air Position Data and Statistical Analysis
ZHANG Siyuan, ZHENG Jiaxue, SHEN Xiaoyun, and JIAO Weidong
ADS-B is an important part of next-generation air traffic control systems.Since ADS-B adopts one-way broadcastthe credibility and reliability of ADS-B data lack effective verification means.Statistical analysis of ADS-B data of different TYPE values is conducted.By calculating the curvature of air tracks formed by airADS-B is an important part of next-generation air traffic control systems.Since ADS-B adopts one-way broadcastthe credibility and reliability of ADS-B data lack effective verification means.Statistical analysis of ADS-B data of different TYPE values is conducted.By calculating the curvature of air tracks formed by air position data and building a confidence data set under the constraints of time windowthe anomaly detection and classification of ADS-B air position data are performedand the relationship between abnormal data and TYPE value is analyzed.The experimental results show that the proposed method can rapidly and accurately identify abnormal air position data.The statistical results show that there is about 1.59 abnormal data on average in every 100 ADS-B air position data..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 101 (2022)
PCB Defect Detection Based on Improved YOLO v3
LI Wen, LI Xiaochun, and YAN Haolei
Current PCB defect detection algorithms suffer from low detection accuracy and slow detection speed.To solve the probleman improved PCB defect detection algorithm based on YOLO v3 network is proposed.Firstlybased on DBSCAN+k-means clustering algorithmre-clustering is performed by using Avg IOU criteria to select theCurrent PCB defect detection algorithms suffer from low detection accuracy and slow detection speed.To solve the probleman improved PCB defect detection algorithm based on YOLO v3 network is proposed.Firstlybased on DBSCAN+k-means clustering algorithmre-clustering is performed by using Avg IOU criteria to select the Anchor Boxes that are more suitable for the data set.Secondlytwo residual units are added to the second residual module to improve the networks ability to extract shallow features.At the same timeSE Block module is added to the network to highlight useful feature channels and improve the structure of feature fusion.Finallythe detection module is modified to improve the detection ability on the data set.Experimental results show that the improved algorithm significantly enhances detection accuracy and detection speed on PCB defect data set..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 106 (2022)
A Probabilistic Media Access Control Protocol Based on Fuzzy Division of Channel Busy/Idle States
YU Bicheng, ZHAO Xuejun, YUAN Xiujiu, and HOU Bei
In UAV Ad Hoc networksmulti-priority services are transmitted in parallel,and the existing mechanism of channel busy/idle state division does not consider the fuzzy characteristics of channel states.To solve the problema probabilistic media access control protocol based on fuzzy division of channel busy/idle state isIn UAV Ad Hoc networksmulti-priority services are transmitted in parallel,and the existing mechanism of channel busy/idle state division does not consider the fuzzy characteristics of channel states.To solve the problema probabilistic media access control protocol based on fuzzy division of channel busy/idle state is proposed.The protocol mainly adopts two core mechanismsthat isfuzzy division of channel busy/idle state and media access based on probability.The former mechanism can more reasonably divide the channel busy/idle degree by analyzing the fuzzy characteristics of channel states.The latter mechanism can improve the successful transmission rate of the highest priority services and channel utilization rate while effectively reducing data packet collisions under heavy network load.The simulation results show that the protocol can realize the differentiated transmission of multi-priority servicesprovide strict timeliness and reliability for the transmission of the highest priority serviceand improve channel utilization rates under heavy network load..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 112 (2022)
A Sampled Data Cleaning Technology Based on Regression Model
LI Honglie, XIA Dong, and WANG Qian
Data cleaning is an important content in data preprocessingbut problems such as outlier missing and outlier influence exist in current data cleaning technology.A dynamic and fine identification algorithm for outliers based on regression model is proposedin which the regressive values of two data segments ahead of andData cleaning is an important content in data preprocessingbut problems such as outlier missing and outlier influence exist in current data cleaning technology.A dynamic and fine identification algorithm for outliers based on regression model is proposedin which the regressive values of two data segments ahead of and after the current position are set as referenced values after the elimination of potential outlierswhich is used together with the limits of parameters change rate to give the judgement of outliers.Data cleaning procedure based on regression model is also givenin which steps of coarse identificationfine identification and regressive estimation are adopted to improve the efficiency and effects of data cleaning.A set of real aeronautical data sampled is used to certify the proposed methodand the processing results show that the data cleaning technology based on regression model is able to identify and estimate outliers accurately..
Electronics Optics & Control
- Publication Date: Apr. 22, 2022
- Vol. 29, Issue 4, 117 (2022)