Kalman Filter

An approach is proposed that this deviation can be obtained by using the weld pool image centroid and a Kalman filter.

By integrating factor analysis (FA) with Kalman filter (KF), a novel algorithm used for computational spectral analysis is proposed.

Kalman filter(KF), based on the least square(LS), is a recursive algorithm used for the estimation of linear parameters.

Simulation results indicate that this novel adaptive Kalman filter gives better accuracy than the standard one does.

Signal time delay is converted to underwater distance, and noise is filtered out with Kalman filter.

However, the environment is so complex that we have to do research on adaptive Kalman filter to adapt to the change of environment.

Firstly, the fusion estimation algorithm is compared with that directly performing Kalman filter at the finest scale.

Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter.

To address the problem, scholars have put forward a time-series analysis and Kalman filter hybrid algorithm combining.

This paper introduces and analyzes the application of the least square method and Kalman filter in time prediction.

Further more, combining Kalman filter prediction and linear interpolation, some missing balls can be made up.

The Kalman filter is used to fuse noisy sensor data. The experimental results demonstrate the availability and effectiveness of this method.

The adaptive Kalman filter with fading factor was used to construct the permanent magnet synchronous motor(PMSM) speed observer.

It indicates that Kalman filter has potential for estimating state of charge of batteries in electric vehicles.

The main algorithm of positioning and fusion of multi-sensor, which employs developed adaptive Kalman filter, are described.

Simulation and comparison results show with the robust Kalman filter are given. The results the effectiveness of the method.

The approach consists of two parts: the Kalman filter without input item and an estimator.

With the known nodal displacements and force boundaries, modulus was calculated using inverse mesh free technique and Kalman filter.

For overcoming the shortcoming of extended Kalman filter, the paper applies unscented Kalman filter on bearing-only target tracking problem.

Then based on the current statistical model of Kalman filter, an optimal fusion estimation algorithm was proposed for the system.

A hybrid network traffic prediction algorithm, is provided, in which Kalman filter (KF) and wavelet are combined.

The outliers contained in the DVL output data might cause the divergence of the Kalman filter of the integrated navigation system.

Second, We will improve the precision and reliability of the system with the extended Kalman filter.

The performances of the extended kalman filter(EKF) and the unscented kalman filter(UKF)in constant velocity( CV ) model are compared.

An extended kalman filter adaptive algorithm is presented in combination with the extended kalman filter and the current statistical model.

This system takes the Kalman filter as core algorithm to fuse data so that the positioning accuracy and system reliability can be improved.

Kalman filter and particle filter is a typical representative of the probability tracking methods.

A kalman filter arithmetic for the vehicle GPS is achieved, which aims at the characteristic of vehicle GPS position.

Then the thesis compared unscented kalman filter and extended kalman filter, and selected the former for inverted pendulum system.

Further more, an improved Kalman Filter is introduced in case that the vehicle is in motion.

On spacial data processing, Kalman filter can be used validly for post processing in underwater acoustic positioning systems.

Through the scalar Kalman filter algorithm, the pressure signal is predicted and the innovation value of pressure signal is obtained.

for dynamic data, Kalman filter is used to get a relative smooth trajectory of the responders.

This paper recommend the design of Kalman filter in vehicle navigation system by the numbers. It provides a method of error correct.

A Wavelet-Based Reduced Rank Kalman Filter for Assimilation of Stratospheric Chemical Tracer Observations.

The results show if Kalman filter technique is used in estimating networks weights, hydrologic forecast accuracy may be improved.

New sections have also been added on the Wold decomposition, partial autocorrelation, long memory processes, and the Kalman filter.

Two-position Kalman filter can estimate and compensate the biases of gyros and accelerometers, and thus the accuracy is improved.

Thus, we may use Kalman filter to greatly reduce the effects of bias instability of fiber optic gyros on the inertial navigation systems.

With the Kalman filter as an instantiation, the changing of the data rate factor along with sample time and distance of target is studied.

Kalman filter used in strap down AHRS (Attitude Heading Reference System) based on micro machined inertial sensors is introduced.

A scheme of estimating the flight attitude of a rolling missile based on square root-unscented Kalman filter(SR-UKF)was proposed.

The thesis gets the equation of state of nonlinearity kalman filter through discreting the model of angular motion.

Then the thesis analyzed the significance of applying unscented kalman filter to inverted pendulum system.

The curve fitting and simulation research of extended Kalman filter aiming at the problem of high-speed flight target tracking is studied.

The model and algorithm of data fusion is deduced, the location data fusion using Kalman filter is emphatically researched.

This system is made of GPS and INS, it is the core algorithm to make information fusion using Kalman filter.

Design of zero velocity update Kalman filter for inertial positioning system applied in land vehicle is discussed.

The SAR information and inertial navigation information were fused by Kalman filter technology.

This research deduced SINS's error model base on the SINS's working theory, and introduced discrete Kalman filter's equation.

An extended Kalman filter (EKF) algorithm is used to estimate the relative position and velocity of the target.

and the Kalman filter model of Radar network in the synchronous observational sampling condition is founded primarily.

In the part of tracking, combining the improved Mean-Shift algorithm and Kalman filter prediction.

Finally curve fitting was executed on the global motion vector that has been filtered with Kalman filter to remove the low frequency noise.

In the tracking stage, track face using kalman filter and skin-color feature, if fail to track then turn into detecting stage.

An improved adaptive Kalman filter algorithm is designed to estimate vehicle side slip angles in the same road input.

Base on the state space representation of the two dynamic models we expatiate how to use the Kalman Filter to estimate the parameters.

Recently, Ensemble Kalman Filter (EnKF) has become a research focus in the current data assimilation field.

A valid method of improving the GPS position precise is using kalman filter to deal with the GPS data.

The software design is mainly at the foundation of discrete kalman filter model and embeded system programming principle .

For the above reasons, the extended Kalman filter is proposed as RBF learning algorithm, and the biradial function is used in hidden layer.

At last, we do a lot of experiment to adjust the parameter of KALMAN filter and complete the system.

It transforms the finial SARIMA model to state space model, adjusts the state vector using Kalman filter, and realizes the on-line forecast.

Better effect is obtained than the algorithm combining least square estimation and standard Kalman filter.

A real-time tracking of moving object method based on Genetic Algorithm and Kalman filter was proposed.

Kalman Filter could get pretty good filtering performance when system and noise are linear.

A new algorithm of adaptive Kalman filter is introduced which can estimate Q (or R) accurately when R (or Q)is known.

A efficient information fusion algorithm is presented using adaptive fuzzy logic system (AFLS) to tune the Kalman filter.

To handle nonlinearity, unscented kalman filter is introduced into the design of the elemental filter that is hypothesis dependent.

This research uses the Kalman filter to predict the target position. The Kalman filter will help us to get more correct information.

The average relative error is superior to the traditional Kalman filter.

This paper adopts adaptive Kalman filter with forgetting factor.

A direct torque control system for IPMSM based on advanced extended Kalman filter (EKE) had been proposed.

A new group of adaptive estimation method of Kalman filter fading factor was developed.

At the same time the adaptive Kalman filter algorithm is introduced to process the initial locating results.

Kalman filter is also employed to reduce the negative influence on tracking accuracy caused by data loss and code error during transmission.

The Dead Reckoning is introduced, and Kalman Filter is used to deal with datum. At last, simulations of system are carried out.

A new BO-TMA method combined adaptive weighting with Kalman filter is proposed.

Fact proved that unscented kalman filter is very effective for inverted pendulum system.

The issue of pose state estimate of mobile robots based on extended Kalman filter (EKF) and particle filter is studied.

And we concluded that unscented kalman filter is feasible and effective for inverted pendulum.

The data with noise is processed by the Kalman filter.

If GPS is disturbed or the vehicle moves quickly, the errors of KF (Kalman Filter) are quite big.

This paper applies the Kalman filter in the sensorless control of PMSM based on the introduction of it.

For object tracking, it combines Kalman filter algorithm with characteristics such as color information to track moving object.

The direction error of the inertial axis is corrected by using the Kalman filter.

A new method is proposed for training radial basis function networks (RBFN) using the unscented Kalman filter (UKF).

The paper presented a short-term forecasting algorithm for travel speed based on Kalman filter data fusion.

In this paper, the calculating model is built based on Kalman Filter method, and the algorithm is given.

In this paper, the states of strap down inertial system(SIS) are estimated by using Hfilter instead of Kalman filter.

A camera calibration method based on the Iterated Extended Kalman Filter (IEKF) was proposed in this paper.

Finally, the test of the PMSM based on fading Kalman filter was established in Matlab.

This is an entry-Kalman filter, introduced articles, simple to learn.

A Strong Tracking Extended Kalman Filter and Its Applications in Moving Human Hand Tracking

Robust Kalman Filter of the Guaranteed Estimation Performance for a Continuous-Time Descriptor System with Uncertain Noise

An adaptive Kalman filter algorithm used in the underwater passive target tracking in a Cartesian coordinate system

Assimilation with an Ensemble Kalman Filter of Synthetic Radial Wind Data in Anisotropic Turbulence: Perfect Model Experiments

Ensemble Transform Kalman Filter-based ensemble perturbations in an operational global prediction system at NCEP

Comparison Between a Strong Tracking Filter and Kalman Filter for Target Tracking

Precipitation Calibration by Using Kalman Filter to Determine the Coefficients of the Variational Equation

A Study of Convergence Behavior for an Improved Extended Kalman Filter

Study of an Kalman Filter Algorithm for Systems with Unknown Time-Varying Noise

A Kalman Filter Learning Algorithm for Multilayer Quadratic Neural Networks and Its Convergence Analysis

Application Research of Converted Measuring Kalman Filter Used in Burst Control Technology of Missile

Study of fault-detection and fault-tolerant of sensors using on fuel cell engine basing on federated Kalman filter

Assessing a local ensemble Kalman filter: perfect model experiments with the National Centers for Environmental Prediction global model

Kalman Filter Basing on Matrix Accumulative Algorithm and Its Application in Dynamic GPS Positioning

Unscented Kalman filter application in astronomical satellite attitude determination

On-line Compact Topological Design of Feedforward Networks Using Local Extended Kalman Filter Algorithm and Periodic Activation Function

Kalman Filter with Wavelet-Based Unknown Measurement Noise Estimation and Its Application for Information Fusion

Simultaneous Determination of Trance Niobium and Tantalum via Kalman Filter-flow Injection Chemiluminescence

Application Study of Improved Kalman Filter Algorithm Based on Numerical Method in Autonomous Orbit Determination of Satellites

Two sensors optimal information fusion Kalman filter and its application in tracking systems

Application of A Real-time Tracking Model Based on Kalman Filter in The Prediction of Stock Price

Unscented Kalman Filter and Its Application In GPS-Based Satellite Orbit Determination

Algorithm of modified polar adaptive Kalman filter used in bearings-only target tracking

Multi-sensor optimal information fusion steady-state Kalman filter weighted by scalars for systems with colored measurement noises

Winter Gale Forecasting of Henan province by Means of Kalman Filter

A Study of Positioning Algorithm for Navigation Signal Based Kalman Filter

Ensemble Kalman Smoother and Ensemble Kalman Filter Approaches to the Joint Air Quality State and Emission Estimation Problem

Extended Kalman Filter for IMU Attitude Estimation Using Magnetometer, MEMS Accelerometer and Gyroscope

Fault-Tolerant Adaptive Kalman Filter and Its Application in Gyro Signal Processing

SVD based extended Kalman filter and its application to inverter signal processing

Convergence Analysis of the Extended Kalman Filter for Nonlinear Random Discrete-Time Systems

The Equivalence Between the Centralized and Federated Kalman Filter

A Comparison between Wavelet Packets Decomposition Algorithm and Kalman Filter on Reducing the Noise of Atomic Clock Signal

Modified Adaptive Extended Kalman Filter and Its'Application

A Novel Algorithm of Computational Spectral Analysis Integrating Factor Analysis with Kalman Filter

Vehicle Reference Speed Determination Using Adaptive Kalman Filter Algorithm

An efficient climate forecasting method using an intermediate complexity Earth System Model and the ensemble Kalman filter

Positive Sequence and Frequency Estimation of Distorted Power Signals Using Extended Kalman Filter

Parameter estimation of time-varying structures by the adaptive Kalman filter

The Application of Adaptive Kalman Filter Technique in Initial Alignment of Inertial Navigation System

Research on Kalman Filter Technology for Measurement Information of Satellite Attitude

The Clustered Reducing Order Design of Kalman Filter and Its Application

Application of Self-Adaptive Kalman Filter Method to Radar Rainfall Estimation and Flood Forecasting

Application of extended Kalman filter to permanent-magnet synchronous motor control system

Kalman Filter with Inequality Constraints for Turbofan Engine Health Estimation

Application of Federated Kalman Filter in Tolerant Integrated Navigation System

Adaptive fading Kalman filter with applications in integrated navigation system

Study of fuzzy adaptive strong tracking Kalman filter

Control algorithm and application of a new fuzzy-Kalman filter

Baseline Kalman Filter Estimation Method for Nuclear Radiation Pulse Height Analysis

Comparative Research on Multiple Fading Kalman Filter in Integrate Navigation System

Pseudo-linear Kalman filter based passive location and tracking techniques by two infrared stations

Application and exploration of regional geochemistry anomaly synthetical appraisal based on information fusion technique of Kalman Filter

A Rotated Covariance Extended Kalman Filter Algorithm for Angle-Only Position Estimation

Application research of the unscented Kalman filter in thermal balance test

Kalman Filter Used as the Estimation of Target Maneuver Acceleration

An improved wavelet-Kalman filter based short term load forecasting for distribution systems

Kalman Filter Design for Multi-sensors Satellite Attitude Determination

Parameter identification of silo using neural network and Kalman filter algorithms

Unknown Input Extended Kalman Filter and Applications in Nonlinear Fault Diagnosis

Adaptive Estimation of Kalman Filter Fading Factor in Integrated Navigation System

Identification of Nonlinear Hysteretic Systems with Slip by Extended Kalman Filter

Application of extended Kalman filter in parameter identification of dynamic load model

Improved algorithm of Kalman filter and its application

Application of Ensemble Kalman Filter Assimilation in One-Dimensional Wave Equation

model identification ; distributed Kalman filter DKF ; back propagation neural network BPNN ; electrostatic suspended gyroscope ESG

Square-Root Unscented Kalman Filter for Inertial Navigation System Alignment

The Stability of the Kalman Filter for Systems with Colored Observation Noises

Adaptive Kalman Filter Algorithm with Fault-tolerant Improvement

Kalman filter with observation noises about temporal correlation

Application of Kalman Filter to Centralized Robot-soccer Competition System

Application of Unscented Kalman Filter for Large Misalignment Errors in INS Alignment

The Application of Kalman Filter Based Recurrent Neural Network Model Predict Control

Application of Fuzzy Kalman Filter in Anti-coarse Value Correction of Initial Alignment System

Analysis and study of single observer passive location based on Kalman filter arithmetic

the extended Kalman filter (EKF) algorithm is employed to linearize the non-linear system for each model;

The application of kalman filter wave combining hydraulics in flood real time forecasting

Designing of Kalman Filter with Software Engineering Technology

Application of Adaptive Kalman Filter in Underwater Vehicle Motion Control

Feasibility about dealing data of the optical fiber soliton by Kalman filter

The Modified Covariance Extended Kalman Filter in Passive Location and Tracking

Application of Learning Algorithm for Neural Networks in Adaptive Kalman Filter

A Method of Real-time Orbit Determination Using Self-Calibration Kalman Filter with Restrictions

Application of the Kalman Filter in Intrusion Detection System

An Adaptive Information Fusion Algorithm for Federated Kalman Filter

Adaptive Kalman Filter Algorithm Based on UD Decomposing and Its Application in Wind Field Measurement

Kalman filter with ocean database application in the underwater navigation

Optimization on Kalman filter parameters of SINS during initial alignment

An Adaptive Four Dimensional Kalman Filter for Doppler Frequency Tracking

Kalman Filter's Implementation With DSP In Robotic Attitude Acquisition System

The Application of Adaptable Kalman Filter Algorithm to Vehicle Detecting Test

A Kind of Kalman Filter Algorithm for Fast Tracking and its Application in Ship's Integrated Navigation Systems

Deductive proof of generalized kalman filter recursive formula

Unscented Kalman Filter for Passive Underwater Target Tracking

Hydrologic Data Assimilation with the Ensemble Kalman Filter

The Application of Adaptive Kalman Filter in Self-Calibration of Inertial Platform

Mobile Location Estimation with NLOS Mitigation Using Kalman Filter

Optimization of Extended Kalman Filter for Cellular Mobile Location

Application of Kalman Filter on Testing for Satellite Attitude Control System

Data Fusion Algorithm of Object Location in Acoustic Array with Extended Kalman Filter

Using Kalman Filter Approach to Simulate and Estimate the Term Structure of Interest Rates in Shanghai Stock Exchange

Analysis of adaptive Kalman filter based on intelligent information fusion techniques in integrated navigation system

Adoption of Reducing Kalman Filter to Prevent Strapdown Inertial Navigation System from Distortion of Filter

Dynamic Harmonic Estimation with Modified Kalman Filter

New Modified Adaptive Extended Kalman Filter of DR System for Land Vehicle Navigation

Combined Navigation System of Astronautic Measurement Ship Based for Fuzzy Kalman Filter

Dielectric Loss Measurement Based on Kalman Filter and Interpolating Windowed Fast Fourier Transform Algorithm

Attitude Control of Nonlinear Flexible Structure Based on Inversion Algorithm of Extended Kalman Filter of High-Order Neural Networks

Application of Kalman filter in laser tracking measurement system

Application of Kalman Filter to temperature prediction for each county

Unscented Kalman Filter for Speed Estimation in Induction Motor Drives

Kalman Filter and Its Applications in the Study on Requirement Forecasting of Medical Consumptive Materials

Adaptive Kalman Filter in Integrated Navigation System

Development of Kalman filter and genetic algorithm for aero-engine performance diagnostics

The Design of Fuzzy Adaptive Kalman Filter on Integrated Navigation System

Adaptive beamforming using Kalman filter with forget factor

Visual Tracking Using Constraint Kalman Filter as Predictor

Two-sensor Information Fusion Steady-state Kalman Filter and Smoother

Current Statistics Model and Adaptive Kalman Filter in GPS Navigation

Prediction of Oil Dissolved Gases Concentration by Kalman Filter

Damage Diagnosis of Structures by Reduced Extended Kalman Filter

Kalman filter compensation method for delay of tracking sensor in servo system

A Kalman Filter Algorithm for Nonlinear System with Unknown Time-varying Noise

Research on Optimized Extended Kalman Filter for Speed Sensorless Vector Control of Induction Motor Drive

Research on underwater vehicle adaptive Kalman filter

Adopt Reducing Kalman Filter to Prevent Strapdown Inertial Navigation System From Distortion of Fil

Kalman Filter Based Weather Estimator Designing

Improvement Algorithm on Kalman Filter of Correlated Noise

Application of Kalman Filter in Bridge Health Monitoring System

Application of Kalman Filter for State and Parameter Estimation

Application Research of Adaptive Kalman Filter in Robot Control

Research of Image Restoration in Seawater Using Wiener and Kalman Filter

Application of Kalman filter in landslide monitoring

Identification of nonlinear dynamic system based on high-order neural networks and extended kalman filter algorithm

A New Linearization Method for the Kalman Filter in Nonlinear System

Kalman filter behavior in bearings-only target motion analysis

Adaptive Kalman filter for monitor signal processing of optic thin film

The detection and correction of gross error in observed value for Kalman filter

Initial Binding Attitude Error to Evaluation of Gyro-drift of Kalman Filter

Fault Diagnosis Method Based on Kalman Filter and its Application on Railway Vehicle

Kalman Filter Design of Inertial Positioning System

Application of Normal Six States Kalman Filter in the Initial Alignment

The Application of Covariance Fuzzy-Logic Based Kalman Filter

New method for selecting adaptive Kalman filter fading factor

Kalman Filter Design for Netted Radar System to Track a Maneuvering Target

Study on the Application of Kalman Filter of the Customer in DGPS

Study of Optimal IR Passive Guidance Law Based on Extended Kalman Filter

Application of Kalman Filter in Processing Laser Gyro Signal

Research on Kalman Filter in Bridge Health Monitoring System

Torque Ripple Compensating Technique of Permanent Magnet Synchronous Motor Based on Kalman Filter

The Technology of Supervising and Controlling Kalman Filter Based on Analysis of Frequency Spectrum and Wavelet

Variable dimension of Kalman filter for target tracking

Application of Kalman Filter in Pipeline Leak Detection

Kalman Filter Model on Landslide Monitoring Through GPS

Lane Fusion Tracking System with Extended Kalman Filter

Identify the Rotor Speed of an Asynchronous Motor by Using the Extended Kalman Filter

A Design of State Observation Model on Extended Kalman Filter for BLDC Motor