Multi-Sensor Fusion Based on Unscented Strong Tracking Information Filter
Information fusion for nonlinear systems is one of the challenging topics in target tracking recently.Aiming at a kind of multi-sensor target tracking systems with correations between process and measurement noises,we study the design of a decentralized fusion algorithm based on the unscented strong tracking filter with correlated noises(USTF-CN).Firstly,the information form of USTF with correlated noises is presented in order to improve numerical performance.Subsequently,a decentralized nonlinear fusion algorithm is proposed by using USTIF-CN and decentralized fusion structure.Finally,two simulation examples based on target tracking are demonstrated to verify the efficiency of the proposed fusion algorithms.
target tracking nonlinear system decentralized fusion information filter USTF correlated noises
WEN Tao TANG Xian-Feng GE Quan-Bo
School of Computer and Information Engineering,Henan University,Kaifeng 475004 College of Education,Zhejiang University,Hangzhou 310028 School of Automation,Hangzhou Dianzi University,Hangzhou 310018
国际会议
长沙
英文
370-374
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）