Title :
Ground target identification fusion system
Author :
Joo, Jae Woo ; Won Cho, Dong ; Dong Lae Cho
Author_Institution :
Data Fusion Lab., Agency for Defense Dev., Daejeon, South Korea
Abstract :
It´s difficult to interpret much of the battlefield information collected by various and different types of sensors promptly and correctly. Therefore, multisensor data fusion has become increasingly important in order to integrate individual sensor data and obtain a picture of the battlefield. In this paper GTIFS (Ground Target Identification Fusion System), a near real-time demonstrator of a multisensory system, is designed and implemented. GTIFS correlates and fuses position/identity information from MTI, ELINT and SAR simulators. GTIFS has three positional fusion techniques such as NN (nearest neighbor) tracker, PDA (probabilistic data association) tracker and GNN (geographic NN) tracker and three identity fusion techniques such as Bayesian, Dempster-Shafer and weighted voting. This system also has performance evaluation capabilities. The evaluation result is satisfied.
Keywords :
Bayes methods; digital simulation; image processing; military computing; military radar; radar tracking; sensor fusion; synthetic aperture radar; target tracking; uncertainty handling; Bayesian method; Dempster-Shafer method; ELINT simulator; Ground Target Identification Fusion System; MTI simulator; SAR simulator; battlefield information; geographic nearest neighbor tracker; multisensor data fusion; near real-time demonstrator; nearest neighbor tracker; performance evaluation; positional fusion techniques; probabilistic data association tracker; weighted voting; Computational modeling; Fusion power generation; Hardware; Image sensors; Intelligent sensors; Position measurement; Radar tracking; Sensor fusion; Sensor systems; Target tracking;
Conference_Titel :
Information Fusion, 2002. Proceedings of the Fifth International Conference on
Conference_Location :
Annapolis, MD, USA
Print_ISBN :
0-9721844-1-4
DOI :
10.1109/ICIF.2002.1020974