Title :
Research on Data Association for Passive Sensor Based on the redundant information
Author :
Liu Hang ; Dou Lihua
Author_Institution :
Sch. of Inf. Sci. & Technol., Beijing Inst. of Technol., China
Abstract :
The data association is a difficult point in the multi-target passive location. In order to improve the percent of correct association in the condition of multi-sensor and two sensors were in one plane, the method of data association based on the redundant information was proposed in this paper. Two sensors were adopted to get the pairs of association, if there were multi-target and two sensors in one plane, the third sensor was used to test the percent of correct association of each pair. The correct pairs of association and the false pairs of association were estimated. The method which was put forwarded was an intelligent data association, which could use the redundant information of the third sensor selectively, and the simulation results showed that the method had higher percent of correct association.
Keywords :
redundancy; sensor fusion; intelligent data association; multisensor; multitarget passive location; passive sensor; redundant information; IEEE catalog; Information science; Intelligent sensors; Q measurement; Tellurium; Testing; data association; ghost; passive sensor;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280683