Title :
Local data fusion for single-base multi-sensor
Author_Institution :
Xi´´an Res. Inst. of Navigation Technol., China
Abstract :
A fuzzy data synthesis algorithm is studied for single-base multi-sensor´s local data fusion. It provides a capability to differentiate between inferior and fine data of the multi-sensor, and to associate the last available data. The results shows that using this method can improve the data accuracy with low tracking loss probability
Keywords :
fuzzy set theory; sensor fusion; target tracking; data accuracy; fuzzy data synthesis algorithm; local data fusion; low track loss probability; low tracking target loss probability; single-base multi-sensor; Infrared sensors; Interference; Laser radar; Passive radar; Radar detection; Radar tracking; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Target tracking;
Conference_Titel :
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location :
Beijing
Print_ISBN :
0-7803-7000-7
DOI :
10.1109/ICR.2001.984813
