navigation Kalman filter algorithm
Stereo Vision-Based Relative Navigation Algorithm for Satellites Formation Flying
... two-step filter algorithm based on Kalman filter is developed: Firstly, get first step filter with orientation measurement and intermediate state estimation with Kalman ...
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An improved fading Kalman filter in the application of BDS dynamic positioning
... Kalman filter algorithm, an improved Kalman filter algorithm based on fading factor vector is ...dynamic navigation and positioning, and has been tested by the actual BDS ...
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Improvement of Navigation Accuracy using Tightly Coupled Kalman Filter
... enhance navigation accuracy estimation and also a hybrid model of strong tracking Kalman filter algorithm (STKF) and wavelet neural network (WNN) is used to compensate INS error in reference ...
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State Estimation for Target Tracking Problems with Nonlinear Kalman Filter Algorithms
... robotic navigation and TV ...R.E. Kalman the filter design for prediction, estimation problem, now popularly known as the Kalman filter ...A Kalman filter can be defined ...
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Neural Extended Kalman Filter based Angle Only Target Tracking with Different Observer Maneuver Types
... Proportional Navigation Guidance ...Extended Kalman Filter (EKF) and the Neural Extended Kalman Filter ...estimation algorithm is ...
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Adaptive Fusion of Inertial Navigation System and Tracking Radar Data
... adaptive filter based on two concepts of residual-based adaptive estimation and adaptive fading Kalman filter is proposed for the inertial navigation system/radio detection and ranging ...
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Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane
... extended Kalman filter is used in combi- nation with measurement of inertial and CCTV to support inertial navigation in aircraft ...The algorithm combines camera and IMU have used extended ...
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Integrated Navigation Method for RINS and Odometer
... vehicle navigation system. In addition, the navigation precision could be further improved by the RINS/odometer integrated navigation ...integrated navigation model is able to maintain high ...
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Singular value decomposition based robust cubature Kalman filtering for an integrated GPS/SINS navigation system
... cubature Kalman filter is ...the filter is ...the filter is easy to ...decomposition algorithm is employed to replace Cholesky decomposition in the robust cubature Kalman ...new ...
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Applications of machine vision to cloud studies using stereoscopic satellite images
... proposed navigation model in Chapter 3 can also be ...SADIST navigation algorithm also performs the radiometric correction which converts IR count product to BT ...correction algorithm is ...
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OBJECT DETECTION AND TRACKING FOR VIDEO SURVEILLANCE
... vehicle navigation and autonomous robot ...monitoring. Kalman filter is one of the most widely used tracking ...[2].V-J algorithm is also achieved impressive performance but V-J method is ...
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A Study on Heading and Attitude Estimation of Underwater Track Vehicle
... A small UTV was designed to verify the excellent performance of the developed underwater navigation system through experiments in the water tank and the sea area. The designed UTV is shown in Fig. 2(a). It is a ...
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A Study of Unscented Kalman Filter Performance in the Ultralight Coupled Integration System
... We choose a 17-dimensional vector to be the state vector of the GNSS/INS integrated navigation filter. It consists of three inertial components each in position, velocity, attitude, accelerometer bias, ...
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A Research on Different Filtering Techniques and Neural Networks Methods for Denoising Speech
... Adaptive Linear Neuron, otherwise called ADALINE is a single layered neural network. Its structure consists of a feedback which enables one to compare the current output with the value that is desired. Once the values ...
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Robust Bayesian Filtering Using Bayesian Model Averaging and Restricted Variational Bayes
... CKF filter and the proposed filter have almost similar performances in this case; however, the robust CKF- IVB filter suffers performance ...CKF-IVB filter is based on the assumption of ...
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A comparison of ensemble Kalman filter and extended Kalman filter as the estimation system in sensorless BLDC motor
... The most important of the EKF as an estimation system is to determine the best initial values for the three covariance matrices, namely, Q, R, and P, since these initial values are highly contributing on the ...
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Sensor Fusion with Square Root Cubature Information Filtering
... bature Kalman filter (CKF) is considered to be the logi- cal choice ...estimation algorithm than the unscented/sigma-point fil- ...sigma-point filter and the CKF share a number common ...
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The endogenous Kalman Filter
... the Kalman …lter that is endogenous to agents’optimising decisions, and state conditions for its ...endogenous Kalman …lter will at least asymptotically reveal the true ...
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CHANNEL ESTIMATION USING EXTENDED VERSION OF KALMAN FILTER FOR 2 X 2 MIMO SYSTEMS
... The Kalman filter is a mathematical power tool that is playing an increasingly important role in computer graphics as we include sensing of the real world in our ...
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Particle / Kalman Filter for Efficient Robot Localization
... Different filters namely Kalman filter KF, Particle Filter PF and a proposed Enhanced Particle/Kalman Filter EPKF implemented in Matlab environment and their performance are evaluated in[r] ...
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