Title :
A New Multisensor Particle Filter Method
Author :
Xiong, Wei ; Zhang, Jing-Wei ; He, You ; Song, Zhen-Yu
Author_Institution :
Research Institute of Information Fusion, Naval Aeronautical Engineering Institute, Yantai, 264001, China EMAIL: xiongweimail@tom.com
Abstract :
Multisensor state estimation is an important issue in multisensor data fusion. In order to solve the centralized multisensor sate estimation problem of non-Gaussian nonlinear system, the paper proposes a new multisensor sequential particle filter (MSPF). First, the general theoretical model of centralized multisensor particle filter is got. Then, a sequential resampling method is proposed according to the characteristics of centralized multisensor system. At last, a Monte Carlo simulation is used to analyze the performance of the method. The results of the simulation show that the new method can greatly improve the state estimation precision of multisensor system. Moreover, it will get more accurate estimation with the increase of sensor numbers.
Keywords :
Multisensor; particle filter; state estimation; Aerospace engineering; Helium; Multisensor systems; Noise measurement; Nonlinear systems; Particle filters; Q measurement; Sensor systems; State estimation; Time measurement; Multisensor; particle filter; state estimation;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527017
