GPS Data Kalman Filtering from TXT Files
A beginner-friendly implementation of Kalman filtering for GPS data extraction and processing from TXT documents, featuring clear code structure and practical algorithm applications
Interactive Multiple Model Algorithm Kalman Filter Simulation
Interactive Multiple Model Algorithm Kalman Filter simulation code, featuring implementation with two distinct models and dynamic switching capabilities
Kalman Filter-Based Target Tracking Algorithm for Wireless Sensor Networks
Wireless sensor network target tracking algorithm employing Kalman filtering techniques, including Standard Kalman Filter, Extended Kalman Filter, and Unscented Kalman Filter implementations with code-level explanations
An Excellent Book on Kalman Filtering
This outstanding book provides comprehensive coverage of Kalman filter principles and implementations, including detailed mathematical models and practical coding approaches.
Source Code for Simulation Study of Kalman Filter Application in Target Tracking
Source code implementation for simulating Kalman Filter applications in target tracking systems, featuring noise estimation and trajectory prediction algorithms
A Novel Real-Time Error Registration Method for Radar Networks
This custom MATLAB code implements the real-time error registration technique proposed by Dong Yunlong, He You, and Wang Guohong in their paper "A Novel Real-Time Error Registration Method for Radar Networks," utilizing Kalman filtering for registration purposes.
Kalman Filter Source Code Package
This package contains comprehensive Kalman filter source code implementation with detailed algorithm explanations for state estimation applications.
Kalman Filter Method for Estimating Object Motion Parameters
Application of Kalman filter method for estimating object motion parameters in moving target tracking problems. Highly recommended implementation with random motion simulation, featuring excellent performance. Originally developed by an international researcher with guaranteed executable code.
Simulation Study of Kalman Filter Application in Target Tracking
The application context of target tracking involves radar data processing, where radar systems detect targets and record their positional data. The measured target position data (referred to as plots) are processed to automatically form trajectories and predict target positions at subsequent time steps. Implementation typically involves data association algorithms and state estimation techniques to handle measurement uncertainties and target dynamics.
Kalman Filter for Satellite Attitude Determination
MATLAB-based Simulation of Kalman Filter Implementation for Satellite Attitude Determination