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