Explore MATLAB source code curated for "目标运动" with clean implementations, documentation, and examples.
This program implements a comprehensive Kalman filter simulation for trajectory estimation, featuring velocity and acceleration measurements in the observation vector with a three-dimensional information matrix. The complete and validated implementation demonstrates practical state estimation techniques suitable for colleagues learning Kalman filter applications.
MATLAB program for studying the effects of target motion on high-resolution 1D range profiles, featuring motion modeling algorithms and signal processing techniques
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.