Explore MATLAB source code curated for "机动目标" with clean implementations, documentation, and examples.
MATLAB-based trajectory simulation for optimal guidance law implementation against maneuvering targets, featuring comprehensive code implementation and analysis capabilities.
Implementation of filtering algorithms in GPS satellite positioning using UKF for maneuvering target localization with positioning error analysis. Code implementation includes state estimation and covariance propagation through sigma points.
The IMM (Interacting Multiple Model) algorithm for accurate maneuvering target tracking and localization, which incorporates three typical sub-models: CV (Constant Velocity), CT (Constant Turn), and CA (Constant Acceleration).
Implementation of passive tracking for maneuvering targets in TDOA localization systems using the Smooth Interacting Multiple Model algorithm
This program simulates a maneuvering target undergoing three distinct phases: initial uniform linear motion, uniform circular motion, and a return to uniform linear motion. Throughout these phases, the linear velocity magnitude v remains constant. The simulation includes physical force implementations to model trajectory deviations and centripetal force effects.
Trajectory Simulation of Optimal Guidance Law for Engaging Maneuvering Targets