Test of target tracking ability for radarmen;

Sequential Monte Carlo methods for moving target tracking;

An algorithm for multi-sensor registration and target tracking based on UKF;

Kalman filter based vision predicting and object tracking method and its application;

An object tracking algorithm for TV guiding system of UAV based on particle filter;

Nonlinear object tracking using particle filter;

Multiple objects tracking based on two-stage nonlinear voting

Moving objects tracking in atmosphere turbulence is an important research task, and has broad applications in both military and unmilitary field.

This paper discusses design of target track train simulator based on 3DGRTI technology.

The application to two-dimensional target tracking is studied.

Current statistical model of maneuvering target track is presented to reflect the changes of intensity and scope of maneuvering target,and the adaptive Kalman filtering algorithm based on the current statistical model is built.

A new method based on ACA (Ant Colony Algorithm) is proposed for data association in multi-target tracking.

In the article,the application of the fuzzy technology in the track filtering is described,the problem of trajectory filtering is analyzed,the consideration and method using the fuzzy control technology to improve the trajectory filtering is proposed,And the processing result for real tracking test data is given out.