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滤波算法     
相关语句
  filtering algorithm
    A NEW ADAPTIVE KALMAN FILTERING ALGORITHM FOR MANEUVERING TARGET TRACKING
    一种用于机动目标跟踪的新自适应卡尔曼滤波算法
短句来源
    H_∞ FILTERING ALGORITHM AND ITS APPLICATION IN GPS/SINS INTEGRATED NAVIGATION SYSTEM
    H_∞滤波算法及其在GPS/SINS组合导航系统中的应用
短句来源
    Application of a Virtual Filtering Algorithm with Robustness in INS/GPS Integrated Navigation System
    一种具有鲁棒性的滤波算法在INS/GPS组合导航系统中的应用研究
短句来源
    A New Filtering Algorithm for Information Fusion Based on Low Cost Integrated Navigation System
    基于低成本组合导航定位系统的新融合滤波算法
短句来源
    The Extended Kalman Filtering Algorithm Improvement in Orbit Estimation
    卫星轨道估计中广义卡尔曼滤波算法改进
短句来源
更多       
  filter algorithm
    Suboptimal Filter Algorithm of Initial Alignment in Inertial Navigation System
    惯导系统初始对准的次优滤波算法
短句来源
    Variable-Memory Constrained Filter Algorithm for Engine Fault Diagnosis
    发动机故障诊断的变记忆约束滤波算法
短句来源
    An Eigenvaluedecompositionbased Adaptive Information Fusion Filter Algorithm for Integrated Navigation Systems
    一种基于特征值分解的自适应信息融合滤波算法
短句来源
    EIGENVALUE DECOMPOSITION BASED ADAPTIVE INFORMATION FUSION FILTER ALGORITHM FOR INTEGRATED NAVIGATION SYSTEMS
    组合导航系统中一种基于特征值分解的自适应信息融合滤波算法
短句来源
    RESEARCH ON SECOND-ORDER NONLINEAR FILTER ALGORITHM FOR GYROLESS SATELLITE ATTITUDE DETERMINATION USING STAR SENSORS
    确定无陀螺卫星姿态的二阶非线性滤波算法研究
短句来源
更多       
  filtering method
    Research on Realization of Filtering Method in Integrated Navigation Based on Bei-Dou Double Star Positioning System
    基于北斗双星定位系统的组合导航滤波算法实现研究
短句来源
  “滤波算法”译为未确定词的双语例句
    An Efficient Algorithm for Kinematic SINS/GPS Data Processing
    SINS/GPS动态观测数据的最优滤波算法
短句来源
    MODEL-ERROR-BASED PREDICTIVE FILTER FOR SATELLITE ATTITUDE DETERMINATION
    基于模型误差确定卫星姿态的预测滤波算法
短句来源
    Nonlinear predictive filter for satellite attitude estimation based on MME criterion
    基于MME准则估计卫星姿态的非线性滤波算法
短句来源
    Two Nonlinear Filters for Satellite Attitude Determination Based on Vector Observation
    基于矢量观测确定卫星姿态的两种非线性滤波算法
短句来源
    H_∞ Sub-optimal Filter for Low-cost Integrated Navigation System
    用于低成本组合导航系统的H_∞滤波算法(英文)
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  filtering algorithm
A new fast adaptive filtering algorithm was presented by using the correlations between the signal's former and latter sampling times.
      
They are the filtering method of lowpass-bandstop serial structure suitable for a PC, and a shift average filtering algorithm suitable for the sensor data board, respectively.
      
A digital filtering algorithm based on the quadrature conversion is described.
      
A diffusion filtering algorithm is proposed based on the solution to an initial-boundary value problem for the two-dimensional diffusion equation with a special nonlinear source.
      
A median filtering algorithm implementing the proposed method is analyzed.
      
更多          
  filter algorithm
Compared the simulation results of Kalman filter algorithm with the least square algorithm and explicit solution, it is indicated that the Kalman filter algorithm is the best.
      
A filter algorithm for multi-measurement nonlinear system with parameter perturbation
      
In this paper, an adaptive digital filter algorithm is presented to optimize the signal-to-noise ratio of an antenna array with multiuser signal inputs.
      
An inverse Q-filter algorithm based on stable wavefield continuation
      
The quantitative separation of overlapped responses accomplished by the Kalman filter algorithm is deteriorated by the errors in the model due to shifts of the component peaks.
      
更多          
  filtering method
They are the filtering method of lowpass-bandstop serial structure suitable for a PC, and a shift average filtering algorithm suitable for the sensor data board, respectively.
      
Application of the nonlinear Kalman filtering method to logarithmically amplified low-coherence fringe signals measured from paper samples is considered.
      
The results show that the nonlinear discrete Kalman filtering method can be applied to estimate envelopes of logarithmically transformed low-coherence fringe signals with high noise immunity.
      
In this study, an unscented particle filtering method based on an interacting multiple model (IMM) frame for a Markovian switching system is presented.
      
The filtering method addresses nonlinear and/or non-Gaussian tracking problems.
      
更多          


A Parametric study on the problem for identification of the aerodynamic coefficients of a reentry body using Kalman filter algorithm from flight data is made, giving two probable rules: in the absence of the reliable trajectory data and air data by means of the onboard acceleration and angular rate data, (1) the aerodynamic coeflcient ratio can be accurately identified; (2) the estimation accuracy of the aerodynamic coefficients can be improved by reducing the prior estimation error of the normal force derivative....

A Parametric study on the problem for identification of the aerodynamic coefficients of a reentry body using Kalman filter algorithm from flight data is made, giving two probable rules: in the absence of the reliable trajectory data and air data by means of the onboard acceleration and angular rate data, (1) the aerodynamic coeflcient ratio can be accurately identified; (2) the estimation accuracy of the aerodynamic coefficients can be improved by reducing the prior estimation error of the normal force derivative. Monte Carlo simulation of more than 220 times and the real data analysis validate the mentioned rules.

本文利用卡尔曼滤波算法,对从飞行数据辨识再入体的空气动力系数问题,进行了参数研究,归纳出两条规律性的现象:在缺少可靠的轨道和气象数据的情况下,凭借飞行体上的过载和角速率数据;(1)可较精确地识别出气动系数的比值,(2)可以通过减小法向力导数的验前误差来提高气动系数的估值精度。220余次的蒙特卡洛(Monte Carlo)随机模拟以及对于实测数据的分析,证实了上述规律性。

In this paper,a filtering theory is applied to the multiple closed-loop feedback system for tracking a single target in range,velocity,azimuth and elevation in an airborne radar.First of all,according to relative motion between.arget and antenna,the vector differential equation of the states used to control the four tracking loop is established.Then,the corresponding nonlinear filtering algorithm is derived.Finally,the results of computer simulation are given.The results of computer simulation show that in a...

In this paper,a filtering theory is applied to the multiple closed-loop feedback system for tracking a single target in range,velocity,azimuth and elevation in an airborne radar.First of all,according to relative motion between.arget and antenna,the vector differential equation of the states used to control the four tracking loop is established.Then,the corresponding nonlinear filtering algorithm is derived.Finally,the results of computer simulation are given.The results of computer simulation show that in a wide range the time varying system using Kalman filter can keep better performance than the ordinary one without optimal filter.The system involving nonlinear filtering has a performance closed to the linear filtering one in steady-state response,but the former achieves performance improvement in transient response and in large error.Using Kalman filter,the tracking loops are coupled each other,and its performance is better than that of seperate loops.Finally,we show that a particular merit of this mathematical model,established in aim coordinate system,is less sensitive to target's manoeuvre.Therefore,the system performance is almost as good as an adoptive estimator,but which is sensitive to measurement noise.As the signal to noise ratio of radar varies in a wide range,we should take adaptive method in measuring noise.The technique used and results obtained are also available for ground radar,shipborne radar and other tracking systems,either active or passive.

本文论述将滤波理论应用于机载雷达中对单个目标进行距离、速度、方位角和高低角跟踪的多环反馈系统。首先根据目标和天线的相对运动建立控制四坐标跟踪环所需的状态矢量微分方程,然后推导相应的非线性滤波算法。最后给出计算机的模拟结果。计算机模拟的结果清晰地说明采用最佳滤波的系统性能比通常的有很大改善,并且这种瞄准轴坐标系的最佳系统对目标的随机机动是不灵敏的。 本文所讨论的方法和得出的结论可以延用到地面雷达、舰载雷达以及其他有源和无源的跟踪系统。

This paper mainly investigates the application of the butterworth low pass digital filter in automatic measureing systems The necessity of applying the low-pass filter in those systems with high sampling rate and low output speed is discussed. In that way,the measurement noise can be decreased and the system resolution can be improved Compared with the conventional mult-point average filter, the butterworth filter has more satisfactory performances, and can be implemented with recursive algorithm, which needs...

This paper mainly investigates the application of the butterworth low pass digital filter in automatic measureing systems The necessity of applying the low-pass filter in those systems with high sampling rate and low output speed is discussed. In that way,the measurement noise can be decreased and the system resolution can be improved Compared with the conventional mult-point average filter, the butterworth filter has more satisfactory performances, and can be implemented with recursive algorithm, which needs less storage capacity of computer. The design method for determaining the parameters of butterworth low-pass digital filter is quite easy and convenient .The way for executing real -time filtering algorithm is provided, in which the high-order filter consists of several two- order filters in series and the first datum is used for repeatedly iterating many times, thus, the numerical instability is prevented successfully and the initial transient process is shortenedFinally, this paper gives a result of the application to the test of long-term gyro drift, which shows that the effect of low-pass digital filter is quite obvious. The signal of gyro drift with low-frequency property is truly conserved and the high-frequency noise from measurement circuit is basicly eliminated.

本文主要研究巴特沃斯低通数字滤波器在自动测试系统中的应用。讨论了高速采样低速输出的自动测试系统中采用低通数字滤波器的必要性;比较了巴特沃斯低通数字滤波器与多点平均滤波的性能,巴特沃斯滤波器具有较理想的特性;介绍了建立巴特沃斯低通数字滤波器的设计方法,以及在实现实时滤波算法时,克服初始瞬变过程和防止滤波器数值不稳的措施。最后,给出了在长时间陀螺漂移测试中的应用结果。

 
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