Kalman Filter Tracking and Filtering Implementation
MATLAB-based implementation progressing from fundamental to advanced Kalman filter tracking and filtering capabilities with code examples
GPS Pseudorandom Code Acquisition and Tracking: A MATLAB Simulation Approach
Comprehensive simulation of GPS pseudorandom code acquisition and tracking using MATLAB, including algorithm implementation, signal processing techniques, and performance evaluation.
Radar and Infrared Integrated Tracking System
This documentation provides detailed implementation of tracking algorithms combining radar and infrared data, featuring comprehensive code examples suitable for beginners and intermediate developers
MATLAB Code Implementation for Object Tracking
A MATLAB-based tracking algorithm implementation designed for robust tracking of rigid objects such as vehicles, featuring high accuracy and computational efficiency.
Application of Particle Filter in Target Localization and Tracking
Application of particle filter in target localization and tracking, suitable for nonlinear filtering algorithm research with implementation insights using sequential Monte Carlo methods.
Recursive Gain Kalman Filter Package for Maneuvering Target Tracking
A custom-developed recursive gain Kalman filter package designed for maneuvering target detection and tracking, featuring comprehensive mathematical models for target dynamics and noise characteristics. The implementation includes simulation capabilities with average observation error analysis and detailed code annotations at critical algorithm sections. This package serves as a valuable reference for researchers working on radar-based maneuvering target detection and tracking systems.
Traffic Vehicle Detection and Tracking Using Optical Flow Fields
Optical Flow-Based Vehicle Detection and Tracking for Traffic Analysis with Implementation Insights
Target Localization and Tracking Using Single Sensor: EKF and UKF Algorithms with CA and IMM Models
Single-sensor target localization and tracking, featuring Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) algorithms based on Constant Acceleration (CA) and Interacting Multiple Model (IMM) frameworks, with code implementation insights.
LK-based Optical Flow Field Computation and Tracking
Self-developed implementation of LK optical flow field calculation and tracking algorithm
GPS Software Receiver Plotting Functions
Collection of plotting functions for GPS software receivers including CA code visualization, BOC signal analysis, S-curve plotting, acquisition results, and tracking performance.