DocumentCode :
1867997
Title :
Multi-sensor registration via fuzzy c-mean cluster
Author :
Zhang, Gaoyu ; Yang, Wanhai
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Shaanxi
fYear :
2006
fDate :
19-21 Jan. 2006
Lastpage :
998
Abstract :
A new multi-sensor registration algorithm via fuzzy c-mean cluster is presented after analyzing some previous multi-sensor data registrations. In the case of multi-target the same frame measure data from multi-sensor are clustered via fuzzy c-mean algorithm to get the cluster centers as the ideal positions of targets. Then the certain sensor´s error estimation value for this frame is obtained by averaging this sensor´s errors corresponding to these ideal positions of targets. Finally these error estimations of certain sensor from each frame are averaged to accomplish the multi-sensor registration. The advantage of this algorithm are better real-timely and having nothing with the registration model. In the end the simulation result and analysis are given
Keywords :
error analysis; fuzzy set theory; pattern clustering; sensor fusion; target tracking; fuzzy c-mean cluster; multisensor data registration; sensor error estimation value; Algorithm design and analysis; Analytical models; Arithmetic; Clustering algorithms; Error analysis; Fuzzy neural networks; Kalman filters; Neural networks; Sensor systems; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
Conference_Location :
Harbin
Print_ISBN :
0-7803-9395-3
Type :
conf
DOI :
10.1109/ISSCAA.2006.1627491
Filename :
1627491
Link To Document :
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