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THE IMPLEMENTATION AND ANALYSIS OF KALMAN FILTER PHASE UNWRAPPING ALGORITHM OF INSAR
InSAR Phase unwrapping Kalman filter Noise reduction Algorithm implementation Result analysis
2016/3/17
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...
Analysis of the Kalman Filter with Different INS Error Models for GPS/INS Integration in Aerial Remote Sensing Applications
Direct Georeferencing Aerial Triangulation GPS/INS Integration
2015/12/17
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...
PERFORMANCE OF KALMAN FILTER FOR GPS DATUM CONVERSION
GPS Datum conversion Kalman filter Recursive algorithm Error covariance Measurement noise
2015/9/28
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...
CROP MODEL DATA ASSIMILATION WITH THE ENSEMBLE KALMAN FILTER FOR IMPROVING REGIONAL CROP YIELD FORECASTS
Crop model data assimilation Ensemble Kalman filter
2015/9/8
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...
Fault Estimation and Monitoring with Multi-Sensor Data Fusion: An Unscented Kalman Filter Approach
Index Terms—Fault monitoring fault estimation unscented Kalman filter
2015/7/22
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...
Photogrammetry-derived Navigation Parameters for INS Kalman Filter Updates
Mobile Mapping Navigation Robotics
2015/7/14
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...
Comparison of the ensemble Kalman filter and 4D-Var assimilation methods using a stratospheric tracer transport model
the ensemble Kalman filter 4D-Var assimilation methods stratospheric tracer transport model
2014/12/19
An ensemble Kalman filter (EnKF) assimilation method is applied to the tracer transport using the same stratospheric transport model as in the four-dimensional variational (4D-Var) assimilation system...
Error reduction in GPS datum conversion using Kalman filter in diverse scenarios
Datum eastings northings Kalman filter GPS coordinate conversion
2014/11/25
The coordinates of a location obtained from a Global Positioning System (GPS) receiver
depend on the type of environments. This paper discusses the errors in GPS coordinate
conversion from the Wor...
SINGULAR VALUE DECOMPOSITION-BASED ROBUST CUBATURE KALMAN FILTER FOR AN INTEGRATED GPS/SINS NAVIGATION SYSTEM
Singular Value Decomposition Cubature Kalman Filter Integrated GNSS/SINS Navigation System Nonlinear Filter
2014/4/21
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...
Covariance inflation in the ensemble Kalman filter: a residual nudging perspective and some implications
Covariance inflation ensemble Kalman filter residual nudging perspective some implications
2013/6/17
This note examines the influence of covariance inflation on the distance between the measured observation and the simulated (or predicted) observation with respect to the state estimate. In order for ...
A higher order correlation unscented Kalman filter
Sequential Parameter Estimation Nonlinear Systems Unscented Kalman Filter Continuous-discrete State Space Estimation of Uncorrelated States Volatility Estimation
2012/9/19
Many nonlinear extensions of the Kalman filter, e.g., the extended and the unscented Kalman filter, reduce the state densities to Gaussian densities. This approximation gives sufficient results in man...
A higher order correlation unscented Kalman filter
Sequential Parameter Estimation Nonlinear Systems Unscented Kalman Filter Continuous-discrete State Space Estimation of Uncorrelated States Volatility Estimation
2012/9/14
Many nonlinear extensions of the Kalman filter, e.g., the extended and the unscented Kalman filter, reduce the state densities to Gaussian densities. This approximation gives sufficient results in man...
INS/GPS 组合导航系统的本质是非线性的, 为改善非线性下INS/GPS 组合导航精度, 提出将一种新的非线性滤波cubature Kalman filter(CKF) 应用于INS/GPS 组合导航中. 为此, 建立了基于平台失准角的非线性状态模型和以速度误差及位置误差描述的观测模型, 分析了CKF 滤波原理, 设计了INS/GPS 组合滤波器, 对组合导航非线性模型进行了仿真. 仿真结果显...
KALMAN FILTER BASED FEATURE ANALYSIS FOR TRACKING PEOPLE FROM AIRBORNE IMAGES
Image sequences Airborne images People tracking Tracking multiple objects
2014/6/5
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...
Simultaneous rotor and stator resistance estimation of squirrel cage induction machine with a single extended kalman filter
Extended Kalman filter (EKF) induction machine sensorless control rotor and stator resistance estimation
2010/10/12
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...