Title :
New Techniques of Multiple Maneuvering Targets Passive Tracking by Single Observer Based on Information Fusion
Author :
Wang Jiegui ; Luo Jingqing
Author_Institution :
Electron. Eng. Inst., Hefei
Abstract :
The key techniques of multiple maneuvering targets passive tracking by single observer are discussed. Firstly, a new adaptive passive tracking initiation algorithm based on information fusion is proposed. Secondly, a new data association algorithm is proposed. Based on the information fusion of multiple features, the decision of synthetic data association is made. Finally, with the help of computer simulations, the proposed algorithms are proven to be correct and effective
Keywords :
sensor fusion; target tracking; adaptive passive tracking initiation algorithm; data association algorithm; information fusion; maneuvering targets passive tracking; single observer; synthetic data association; Algorithm design and analysis; Azimuth; Computer simulation; Extraterrestrial measurements; Frequency diversity; Multidimensional systems; Neural networks; Radio frequency; Radiofrequency integrated circuits; Target tracking;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345987
