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Phase unwrapping is the difficulty and hotspot in research because it is the key step in InSAR. The general phase unwrapping methods need usually use some filtering algorithms to eliminate noise first...
In the Kalman filter used for the integration of GPS/INS, the inertial sensor error model is usually considered as a random constant or random walk for both gyroscopes and accelerometers. However, th...
This paper focuses on modeling of errors like ionospheric delays, atmospheric delays Tropospheric delays, Multipath effects and dilution of precision etc., affecting the GPS signals as they travel fro...
Uncertainty in spatial and temporal distribution of rainfall in regional crop yield simulations comprises a major fraction of the error on crop model simulation results. In this paper we used an Ens...
Abstract— In this paper, an unscented Kalman filter (UKF) is proposed in an integrated design frameworks to utilize multi-sensor data fusion techniques for process fault monitoring. The multi-sensor d...
In this paper, a GPS-independent mobile navigation and mapping system is introduced. This system employs the photogrammetric intersection to determine the coordinates of the surrounding objects and t...
A new nonlinear robust filter is proposed in this paper to deal with the outliers of an integrated GPS/SINS navigation system. The influence of different design parameters for H∞ cubature Kalman filte...
Recently, analysis of man events in real-time using computer vision techniques became a very important research field. Especially, understanding motion of people can be helpful to prevent unple...
Accurate knowledge of rotor and stator resistance variations in a squirrel-cage induction motor (SCIM) is crucial for the performance of sensorless control of SCIM over a wide range of speeds. This st...
The original algorithm for the 2-D debiased converted-measurement Kalman filter (CMKF) specified, with incorrect mathematical justification, a requirement for evaluating the average true bias and cova...
In this paper, stability of the projection-based constrained discrete-time extended Kalman filter (EKF) as applied to nonlinear systems in a stochastic framework has been studied. It has been shown th...
以KUBOTA SPU-68水田插秧机为试验平台,以RTK-DGPS为主要导航方式,辅以航向姿态参考系统AHRS500GA-227,研究提高农业机械导航控制精度的方法。在重点对GPS倾斜误差校正的基础上,设计了Kalman滤波器对定位数据进行平滑处理,同时实现磁航向传感器偏移误差的在线辨识与航向校正。采用纯追踪模型实现农业机械直线跟踪控制,基于ITAE优化准则,仿真研究了最佳前视距离的确定方法。试...
因RTD-GPS定位精度不能满足农田导航作业的需要,研究了一种提高农用车辆自动导航定位精度的方法。建立天线补偿模型,对GPS天线晃动引起的误差进行了补偿;建立基于Kalman滤波模型,融合多传感器信息;使用自主开发的基于VRS的GPS接收机,作为RTD-GPS。将RTD-GPS、电子罗盘以及速度传感器获得信息进行Kalman滤波,其结果和高精度GPS数据进行了比较。实验证明,直线跟踪中,平均偏差由...
Application of the ensemble Kalman filter (EnKF) to reservoir characterization has the limitation that the observed watercut data cannot be reflected for tuning model variables in some time intervals....
The application of the ensemble Kalman filter (EnKF) using function transformation to the estimation of relative permeability is presented. Inconsistent values may be calculated in the filtering proce...

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