Title :
A solution of multiple signals fusion based on hybrid filter
Author :
Xin-yue, Fan ; Fei, Zhou
Author_Institution :
Dept. of Commun. &Inf. Eng, Chongqing Univ. Posts & Telecommun., Chongqing, China
Abstract :
In order to solve the fusion problem of various positioning signal in seamless positioning technology, the paper consider utilizing detection probability model collect all positioning data, and establishing a line and nonlinear hybrid filter under the Bayesian rules. Thus target can be position and track efficiently. Simulation results show multiple signals fusion algorithm based on hybrid filter can not only ensure the positioning accuracy, but also not require too much computing time.
Keywords :
Bayes methods; nonlinear filters; sensor fusion; signal detection; target tracking; Bayesian rules; detection probability model; nonlinear hybrid filter; seamless positioning technology; signals fusion; target tracking; Antennas; Biological system modeling; Electromagnetic compatibility; Global Positioning System; Position measurement; Wireless communication; Wireless sensor networks; Seamless positioning; data fusion; detection probability; hybrid Filter;
Conference_Titel :
Intelligent Signal Processing and Communication Systems (ISPACS), 2010 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-7369-4
DOI :
10.1109/ISPACS.2010.5704659