文献类型：会议论文

英文题名：A compound Extended Kalman Filter for nonlinear systems

作者：Fan, Wenbing[1]; Zhang, Suzhen[1]

机构：[1]E China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R China

会议论文集：Asian Simulation Conference/5th International Conference on System Simulation and Scientific Computing

会议日期：NOV 03-06, 2002

会议地点：SHANGHAI, PEOPLES R CHINA

语种：英文

外文关键词：Algorithms - Nonlinear systems - Vectors - White noise

摘要：This paper deals with the problem of compound Extended Kalman Filter with nonlinear model errors and noise statistical characteristic errors. With the adoption of fictitious noise compensation technique and actual non-divergent computation method, a new scheme of compound Extended Kalman Filter is presented, which modifies the two above technique to apply into nonlinear systems. The effectiveness of the proposed method is demonstrated by simulation examples.