Explore MATLAB source code curated for "轨迹估计" with clean implementations, documentation, and examples.
Detailed MATLAB implementation focusing on Kalman filtering algorithms, trajectory estimation methods, and minimum linear error estimation techniques including error analysis and performance evaluation
This program provides a comprehensive Kalman filter simulation for target trajectory estimation, specifically enhanced with multi-sensor observations including range, velocity, and acceleration measurements. The implementation features a complete state-space model with proper noise covariance matrices, making it an ideal educational resource for colleagues familiar with Kalman filtering principles.
This program provides a comprehensive Kalman filter simulation designed for estimating target motion trajectories. The implementation processes observation signals containing both distance and velocity measurements, utilizing state-space modeling and recursive prediction-correction cycles. The complete and validated codebase serves as an excellent educational resource for developers familiar with Kalman filtering principles, featuring modular implementation with clear separation between process models and measurement updates.
Kalman Filter Implementation Framework and Key Algorithm Components