Suboptimal distributed Kalman filtering fusion with feedback  

作　　者：Zhao Minhua Zhu Zhuanmin Shi Meng Peng Qinke Huang Yongxuan 

机构地区：[1]School of Economics & Finance, Xi'an Jiaotong Univ., Xi'an 710049, P. R. China [2]School of Sdenee, Xi'an Jiaotong Univ., Xi'an 710049, P. R. China [3]School of Electronics and information Engineering, Xi'an Jiaotong Univ., Xi'an 710049, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2005年第4期746-749,共4页系统工程与电子技术（英文版）

基　　金：ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(60175015).

摘　　要：In order to improve the accuracy of fusion algorithm, feedback is introduced into Kalman filtering fusion. Fusion center broadcasts its latest estimated states to the local sensors, which can improve the performance of local tracking error through reducing the oovariance of each local error, and only needs calculating the trace of error variance matrices without calculating the inverse of error variance matrices. Simulation results show that it can reduce the ecmputational complexity and the oovariance of error, and it is oonvenient for engineering applications.In order to improve the accuracy of fusion algorithm, feedback is introduced into Kalman filtering fusion. Fusion center broadcasts its latest estimated states to the local sensors, which can improve the performance of local tracking error through reducing the oovariance of each local error, and only needs calculating the trace of error variance matrices without calculating the inverse of error variance matrices. Simulation results show that it can reduce the ecmputational complexity and the oovariance of error, and it is oonvenient for engineering applications.

关 键 词：FEEDBACK Kalman filtering data fusion. 

分 类 号：TN713[电子电信—电路与系统]