Title :
Data fusion for tracking small targets with randomly sampling data
Author :
Weiyan, Que ; Zongying, Shi ; Wenli, Xu ; Yingning, Peng ; Dajin, Lu
Author_Institution :
Tsinghua Univ., Beijing, China
Abstract :
A multiple-hypothesis-tracking (MHT) data fusion approach is proposed, which can be used to track small targets, such as stealth targets, with randomly sampled data for a netted radar surveillance scenario. Simulation results show its feasibility and validity
Keywords :
parameter estimation; radar tracking; random processes; sampling methods; sensor fusion; target tracking; multiple-hypothesis-tracking data fusion; netted radar surveillance; small targets; stealth targets; Acceleration; Artificial intelligence; Computer hacking; Laser radar; Motion detection; Parameter estimation; Radar tracking; Sampling methods; Surveillance; Target tracking;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.760778
