Title :
Passive tracking and data association algorithm for multiple targets with single sensor
Author :
Lin, Yuesong ; Xue, Anke ; Qian, Jixin
Author_Institution :
Inst. of Intelligence Information & Control technology, Hangzhou Inst. of Electron. Eng., China
Abstract :
The efficiency and speed of tracking and data association algorithm are the keys to passive single sensor multiple targets tracking in practice. The paper presents a practicable algorithm, in which establishing the tree of hypothesis trajectories and summing three-continuous-step estimation covariance of every possible trajectory obtain the probabilities of true trajectories. Therefore the algorithm can avoid complex calculation of likelihood function. It also can obtain better performance of data association compared with the nearest neighbor algorithm.
Keywords :
covariance analysis; target tracking; data association algorithm; hypothesis trajectories; nearest neighbor algorithm; passive single sensor multiple targets tracking; three-continuous-step estimation covariance; Control systems; Data engineering; Intelligent control; Intelligent sensors; Nearest neighbor searches; Sensor systems; Systems engineering and theory; Target tracking;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1343757