Title :
An improved tracking filter algorithm
Author :
Wang, Ming-Hui ; You, Zhi-Sheng ; Peng, Ying-Ning
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
Tracking gate is the very important first-step filter of some classical data association algorithms. An improved tracking gate method is presented in this paper, which estimates the gate size by searching the optimal solution of the performance function of data association. This gate method has been compared with some classical methods.
Keywords :
filtering theory; tracking filters; data association algorithms; gate size; optimal solution; tracking filter algorithm; tracking gate method; Data engineering; Electronic mail; Equations; Filters; Sensor systems; State estimation; Target tracking;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180986