Title :
Data fusion of multisensor data
Author_Institution :
739 San Pedro Lane, Morgan Hill, CA, USA
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;
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
DOI :
10.1109/KES.2000.884105
