Explore MATLAB source code curated for "强跟踪滤波器" with clean implementations, documentation, and examples.
Professor Zhou Donghua's Strong Tracking Filter program package includes two utility subfunctions and three main programs designed for different object models. All programs are error-free and can be directly executed to generate output plots.
Implementation of strong tracking filter algorithm using MATLAB with complete source code for target motion trajectory tracking applications
The Pseudo Measurement Transformation Estimator (PLE), widely used in target passive tracking applications, demonstrates strong error convergence characteristics. However, due to correlation between equivalent noise and system states, this estimator produces biased results. The proposed Strong Tracking Filter (STF) adaptively corrects estimation bias and rapidly tracks state variations by enforcing residual whitening through adaptive gain adjustment. STF has demonstrated significant effectiveness in nonlinear system time-delay estimation, fault diagnosis, and fault-tolerant control systems, with implementation typically involving fading factor calculations and covariance matrix updates.
Practical utility for control detection using strong tracking filters, offering excellent versatility through configurable parameter settings that can be easily adapted to various applications