DocumentCode
2630754
Title
Data fusion of multisensor data
Author
Tang, Sheng
Author_Institution
739 San Pedro Lane, Morgan Hill, CA, USA
Volume
2
fYear
2000
fDate
2000
Firstpage
537
Abstract
The problem of data fusion of multisensor data for multitarget tracking is considered. A hierarchical fusion system is presented for fusion of numerical data from multiple local radar stations, and a fuzzy clustering technique is introduced. Simulation results are presented for a scenario having three local radar stations and three targets with trajectories containing some type of acceleration and varying noise levels on the measurements
Keywords
pattern clustering; radar computing; radar signal processing; radar tracking; sensor fusion; target tracking; acceleration; data fusion; fuzzy clustering technique; hierarchical fusion system; multiple local radar stations; multisensor data; multitarget tracking; noise levels; numerical data fusion; simulation; trajectories; Acceleration; Accelerometers; Filters; Fuzzy systems; Noise level; Radar measurements; Radar tracking; Random number generation; Target tracking; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on
Conference_Location
Brighton
Print_ISBN
0-7803-6400-7
Type
conf
DOI
10.1109/KES.2000.884105
Filename
884105
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