Maneuver Target Tracking using IMM and Kalman Filter Algorithms
Implementation of maneuver target tracking through Interacting Multiple Model (IMM) filtering combined with Kalman filter techniques
MATLAB Code Implementation of Kalman Filtering Algorithms
Implementation of Kalman filter, Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), Interacting Multiple Model (IMM) based on EKF-UKF hybrid approach, with supporting Rauch-Tung-Striebel and two-filter smoothing tools - a comprehensive and practical framework
Program Comparison Between RIMM and IMM Algorithms
This comparison evaluates the tracking performance differences between RIMM and IMM methodologies, analyzing their respective algorithmic implementations and practical effectiveness
MATLAB Source Code for UKF, EKF, and IMM Algorithms
Foreign scholar-written MATLAB source codes and documentation for UKF (Unscented Kalman Filter), EKF (Extended Kalman Filter), and IMM (Interacting Multiple Model) algorithms, featuring clear comments and well-organized structure. Latest version available with detailed implementation insights.
MATLAB Implementation for Multi-Target Processing
A comprehensive MATLAB program for multi-target processing, featuring implementations of IMM, JPDA, and other algorithms - an essential resource for students studying information fusion and target tracking techniques with practical code examples.
MATLAB Source Code for UKF, EKF, and IMM Algorithms
High-quality MATLAB implementations of UKF (Unscented Kalman Filter), EKF (Extended Kalman Filter), and IMM (Interacting Multiple Model) algorithms with detailed code annotations and optimization features.